Synchrony

Job Description: Role Title: Analyst, Model Monitoring (L08) Company Overview: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by Ambition Box Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. We provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview: Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth Role Summary/Purpose: The Analyst, Model Monitoring is a role (Individual Contributor) within the India Analytics Hub (IAH), operating under the Decision Management vertical and plays a critical role in the post-deployment monitoring of models across the enterprise. This individual is responsible for executing performance tracking routines, developing dashboards, supporting performance investigations, and collaborating with model owners and risk stakeholders to ensure models remain accurate, explainable, and compliant. This role will support the team by applying advanced analytical skills and a working knowledge of model governance standards to help uphold the integrity of the model risk management lifecycle. Essential Responsibilities Perform model monitoring activities for credit, customer, and non-customer decision models, including tracking of KPIs, stability metrics, and performance degradation indicators. Create and maintain dashboards and reports that communicate performance trends, trigger alerts, and highlight potential model concerns. Collaborate with model developers, owners, and validators to support timely issue investigation, remediation planning, and documentation updates. Support the development and maintenance of monitoring frameworks, including stability thresholds, performance benchmarks, and early warning indicators. Assist with the automation of recurring monitoring tasks using scripting (e.g., SAS, Python, SQL) and workflow tools. Document model performance summaries, trend analyses, and key monitoring artifacts in accordance with model risk policies. Prepare inputs for model risk reports, audit reviews, and regulatory requests, ensuring traceability and completeness of monitoring evidence. Contribute to the adoption of MLOps best practices and explainability techniques (e.g., SHAP, LIME) to enhance monitoring transparency and trust. Participate in cross-functional working sessions to evaluate monitoring outcomes and support continuous improvement initiatives. Required Skills & Knowledge Bachelor’s degree in a quantitative, technical, or data-focused field (e.g., Statistics, Mathematics, Computer Science, Data Science, Engineering) with 1+ years’ experience or in lieu of degree 3+ years of relevant work experience in model analytics, monitoring and validation or development within a financial services environment Strong technical proficiency with data manipulation and analysis tools such as Python, SQL, R, or SAS. Experience with data visualization tools like Tableau, Power BI, or similar platforms to create actionable performance dashboards. Working knowledge of performance drift metrics, stability indicators, and key model health metrics. Ability to translate technical findings into clear, concise documentation for non-technical audiences. Experience with monitoring automation or process efficiency initiatives is a plus. Ability to manage multiple models or monitoring streams independently, with a high attention to detail and quality. Desired Skills & Knowledge Strong problem-solving and critical thinking skills, especially when interpreting complex performance trends or ambiguous signals. Solid communication and stakeholder engagement skills, with the ability to present findings in a structured and compelling manner. Proactive and collaborative mindset, with experience working in cross-functional model risk or analytics teams. Interest in staying current with emerging monitoring tools, AI/ML observability practices, and explainability techniques. Exposure to regulatory or audit interactions related to model performance monitoring or documentation Strong Familiarity with model governance frameworks, regulatory expectations, and internal audit processes (e.g., SR 11-7 compliance, MRM policies). Eligibility Criteria: Bachelor’s degree in a quantitative, technical, or data-focused field (e.g., Statistics, Mathematics, Computer Science, Data Science, Engineering) with 1+ years’ experience or in lieu of degree 3+ years of relevant work experience in model analytics, monitoring and validation or development within a financial services environment Work Timings: 2PM - 11PM IST This role qualifies for Enhanced Flexibility offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs) We are proud to offer flexibility at Synchrony. Our way of working allows you the option to work from home or workspaces in our Regional Engagement Hubs—Hyderabad, Bengaluru, Pune, Kolkata, or Delhi/NCR. Occasionally you may be required to commute or travel to Hyderabad or one of the Regional Engagement Hubs for in person engagement activities such as business or team meetings, trainings, and culture events. For Internal Applicants: Understand the criteria or mandatory skills required for the role, before applying Inform your manager and HRM before applying for any role on Workday Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (First Formal/Final Formal, LPP) L4 to L7 Employees who have completed 12 months in the organization and 12 months in current role and level are only eligible. L8 Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L04+ Employees can apply Grade/Level: 08 Job Family Group: Data Analytics We’re on a mission to build a future where every ambition is within reach. We’re doing this by creating financial and technology solutions that move people forward. When you join us, whether you work in an office or from your home, you’ll experience support and encouragement at all levels of the organization— you’ll be provided with the tools and technology to grow your career here.

Job Description:

Role Title: Analyst, Model Monitoring (L8)

 

Company Overview:

 

Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more.

• We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.

• We provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being.

• We provide career advancement and upskilling opportunities for all to take up leadership roles.

Organizational Overview:

 

Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth

 

Role Summary/Purpose:

The Analyst, Model Monitoring is a role (Individual Contributor) within the India Analytics Hub (IAH), operating under the Decision Management vertical and plays a critical role in the post-deployment monitoring of credit and decision models across the enterprise. This individual is responsible for executing performance tracking routines, developing dashboards, supporting performance investigations, and collaborating with model owners and risk stakeholders to ensure models remain accurate, explainable, and compliant. This role will support the team by applying advanced analytical skills and a working knowledge of model governance standards to help uphold the integrity of the model risk management lifecycle.

Essential Responsibilities

·         Perform model monitoring activities for credit, customer, and non-customer decision models, including tracking of KPIs, stability metrics, and performance degradation indicators.

·         Create and maintain dashboards and reports that communicate performance trends, trigger alerts, and highlight potential model concerns.

·         Collaborate with model developers, owners, and validators to support timely issue investigation, remediation planning, and documentation updates.

·         Support the development and maintenance of monitoring frameworks, including stability thresholds, performance benchmarks, and early warning indicators.

·         Assist with the automation of recurring monitoring tasks using scripting (e.g.,  SAS, Python, SQL) and workflow tools.

·         Document model performance summaries, trend analyses, and key monitoring artifacts in accordance with model risk policies.

·         Prepare inputs for model risk reports, audit reviews, and regulatory requests, ensuring traceability and completeness of monitoring evidence.

·         Contribute to the adoption of MLOps best practices and explainability techniques (e.g., SHAP, LIME) to enhance monitoring transparency and trust.

·         Participate in cross-functional working sessions to evaluate monitoring outcomes and support continuous improvement initiatives.

Eligibility Criteria:

·         Bachelor’s degree in a quantitative, technical, or data-focused field (e.g., Statistics, Mathematics, Computer Science, Data Science, Engineering) with 1+ years’ experience OR, in lieu of degree, and 3+ years of relevant work experience in model analytics, monitoring and validation

 

Required Skills & Knowledge

·         1+ years of experience in model analytics, monitoring, validation, or development within a financial services environment.

·         Strong technical proficiency with data manipulation and analysis tools such as Python, SQL, R, or SAS.

·         Experience with data visualization tools like Tableau, Power BI, or similar platforms to create actionable performance dashboards.

·         Working knowledge of performance drift metrics, stability indicators, and key model health metrics.

·         Ability to translate technical findings into clear, concise documentation for non-technical audiences.

·         Experience with monitoring automation or process efficiency initiatives is a plus.

·         Ability to manage multiple models or monitoring streams independently, with a high attention to detail and quality.

 

Desired Skills & Knowledge

·         Strong problem-solving and critical thinking skills, especially when interpreting complex performance trends or ambiguous signals.

·         Solid communication and stakeholder engagement skills, with the ability to present findings in a structured and compelling manner.

·         Proactive and collaborative mindset, with experience working in cross-functional model risk or analytics teams.

·         Interest in staying current with emerging monitoring tools, AI/ML observability practices, and explainability techniques.

·         Exposure to regulatory or audit interactions related to model performance monitoring or documentation

·         Strong Familiarity with model governance frameworks, regulatory expectations, and internal audit processes (e.g., SR 11-7 compliance, MRM policies). 

 

Work Timings:

This role qualifies for Enhanced Flexibility offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs)
We are proud to offer flexibility at Synchrony. Our way of working allows you the option to work from home or workspaces in our Regional Engagement Hubs—Hyderabad, Bengaluru, Pune, Kolkata, or Delhi/NCR.
Occasionally you may be required to commute or travel to Hyderabad or one of the Regional Engagement Hubs for in person engagement activities such as business or team meetings, trainings, and culture events.

For Internal Applicants:

• Understand the criteria or mandatory skills required for the role, before applying

• Inform your manager or HRM before applying for the role on Workday

• Ensure that your professional profile is updated (fields such as education, prior experience, skills) and it is mandatory to upload your updated resume (Word or PDF format)

• Must not be any corrective action plan (First Formal/Final Formal, PIP)

• Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible

• L6+ Employees can apply

Grade/Level: 8

Job Family Group:

Data Analytics

Job Description:

Role Title: VP, Model Monitoring (L12)

Company Overview:

Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more.

• We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by Ambition Box Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.

• We provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being.

• We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles.

Organizational Overview:

Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth

Role Summary/Purpose:

The VP, Model Monitoring is  a role (Including People Management) within India Analytics Hub (IAH), operating under the Decision Management, reporting to the Model Monitoring Lead in US, is a key stakeholder in the ongoing risk oversight of deployed customer and non-customer facing models across the organization. This role serves as a subject matter expert in model monitoring best practices and governance standards, ensuring early identification of model risk through data-driven diagnostics and analyses. Leveraging advanced analytics, visualization tools, and regulatory understanding, this role ensures models remain robust, interpretable, and aligned with evolving business and regulatory expectations—ultimately safeguarding the integrity of the firm’s model risk management lifecycle.

Key Responsibilities

• Support the development and execution of the model monitoring roadmap, ensuring the practices are forward-looking, risk-informed, and aligned with business priorities and regulatory expectations. 

• Lead performance oversight for high-impact models, prioritizing monitoring efforts based on risk, materiality, and business impact—ensuring the right models receive the right level of scrutiny. 

• Build, mentor, and manage a high-performing analytics team, fostering a culture of innovation, accountability, and continuous learning.

• Drive complex performance investigations, including monitoring, reporting, and flagging performance issues to support identification of root causes and business implications and guide coordinated corrective actions 

• Oversee the design and evolution of monitoring tools, dashboards, and alerting systems that deliver timely, actionable insights to stakeholders and support informed decision-making 

• Maintain enterprise-wide monitoring standards, defining performance thresholds, stability indicators, and explainability requirements that reflect both regulatory guidance and internal risk appetite. 

• Champion automation and scalability, leveraging technology and analytics to streamline recurring monitoring routines and ensure consistency, accuracy, and long-term efficiency. 

• Act as a trusted advisor during audits and regulatory reviews, clearly articulating monitoring outcomes, risk mitigations, and the strength of the monitoring framework. 

• Collaborate cross-functionally with model developers, users, validators, and risk officers to ensure that performance insights are integrated throughout the model lifecycle—from design to retirement. 

• Continuously evolve the monitoring function, staying ahead of industry best practices, emerging risks, and new technologies to ensure our capabilities remain strong, relevant, and resilient.

Perform other duties/special projects as assigned

Required Skills & Knowledge

• 8+ years of of experience model analytics, monitoring, validation, or credit risk strategy within a financial or regulated setting. Strong technical proficiency in Python, SQL, and data visualization tools like Tableau or Power BI. 

• Solid understanding of model performance metrics such as KS, AUC, PSI, and statistical indicators of stability and drift. 

• Ability to synthesize complex technical findings into business-friendly communications and recommendations. 

• Experience managing multiple projects or monitoring streams, with attention to timelines, quality, and stakeholder expectations. 

• Experience with data visualization tools like Tableau, Power BI, or similar platforms to create actionable performance dashboards. 

• Working knowledge of performance drift metrics, stability indicators, and key model health metrics. 

• Demonstrated ability to synthesize technical insights into business-aligned narratives and actionable recommendations. 

• Proven project management capabilities with experience leading multiple monitoring initiatives in parallel. 

• Broad understanding of credit risk, fraud, marketing analytics, regulatory modeling, or consumer lending..

Desired Skills & Knowledge

• Exceptional verbal and written communication skills demonstrated through executive and cross-functional stakeholder engagement, detailed-oriented documentation, and visual storytelling.

• Advanced critical thinking skills in analytical problem-solving and the ability to use data to break down complex models.

• Strong project management and leadership skills to achieve specific goals within a defined timeline and budget.

• Familiarity with modern machine learning models, explainability techniques (e.g., SHAP, LIME), and MLOps frameworks. 

• Ability to effectively share knowledge by translating complex, technical subject matter and providing actionable coaching and feedback across all levels.

• Strong business acumen and familiarity with model governance frameworks, regulatory expectations, and internal audit processes (e.g., SR 11-7 compliance, MRM policies).

• Technical experience with exploratory data analysis, statistical modeling, machine learning, and generative AI.

Eligibility Criteria:

8 to 12 years of experience with Bachelor’s degree in a quantitative, technical, or data-focused field (e.g., Statistics, Mathematics, Computer Science, Data Science, Engineering) with 8+ years’ experience OR, in lieu of degree, and 10 to 12 years relevant work experience in model analytics, monitoring and validation.

Work Timings:

This role qualifies for Enhanced Flexibility offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs)
We are proud to offer flexibility at Synchrony. Our way of working allows you the option to work from home or workspaces in our Regional Engagement Hubs—Hyderabad, Bengaluru, Pune, Kolkata, or Delhi/NCR.
Occasionally you may be required to commute or travel to Hyderabad or one of the Regional Engagement Hubs for in person engagement activities such as business or team meetings, trainings, and culture events.

For Internal Applicants:

• Understand the criteria or mandatory skills required for the role, before applying

• Inform your manager or HRM before applying for the role on Workday

• Ensure that your professional profile is updated (fields such as education, prior experience, skills) and it is mandatory to upload your updated resume (Word or PDF format)

• Must not be any corrective action plan (First Formal/Final Formal, LPP)

• L10 + Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible

• L10+ Employees can apply

Grade/Level: 12

Job Family Group:

Data Analytics

Job Description:

Role Title: Manager, Model Risk Management (L9)

Company Overview: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more.

• We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.

• We provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being.

• We provide career advancement and upskilling opportunities, for all to take up leadership roles.

Organizational Overview: Synchrony's Risk Team provides independent oversight of Synchrony’s risk-taking activities to ensure safety and soundness, meet regulatory and legal requirements, and manage risks to the risk-appetite of the Board. Risk is responsible for independently assessing, quantifying, and overseeing risks & providing effective challenge. Risk serves as Synchrony’s Second Line of Defense.  

Overall, Risk Team oversees and manages the Risk Program to support the business in anticipating and addressing risks, issues and challenges. Results are consistent with the respective strategic uses and complying with related overall risk, risk testing policies, standards, procedures as well as regulations. Our Risk organization consists of 4 pillars: Compliance, Credit & Financial Risk, Enterprise Risk and Operational Risk. Each of the pillars play a vital role in managing Risk and supports the business in anticipating and addressing risks, issues, and challenges.

Enterprise Risk provides oversight on Synchrony-wide initiatives and projects and manages issues, risk assessment & reporting, risk monitoring activities, policy standards and procedure framework for governance documents.
 

Role Summary/Purpose

The Manager, Model Validation is responsible for model validation focusing on Loss/reserve/recovery/ forecast to Customer facing credit risk/Fraud risk models (Account acquisition and Account management) , and other models and ensure they are meeting the related Model Risk Management policies, standards, procedures as well as regulations (SR 11-7). This role requires expertise in supporting model validation initiatives related to quantitative analytic modeling with the Synchrony Model Governance and Validation team. This is an individual contributor role. .

Key Responsibilities

• Conduct full scope model review, annual review, ongoing monitoring model performance etc. for both internally and vendor-developed models, including new and existing, statistical/ML or non-statistical models, with effective challenges.

• Evaluate model development data quality, methodology conceptual soundness and accuracy, and conduct model performance testing including back-testing, sensitivity analysis, benchmarking, etc. and timely identify/highlight issues.

• Perform proper documentation within expected timeframes for effectively highlighting the findings for further review/investigation and facilitate informed discussions on key analytics.

• Conduct in-depth analysis of large data sets and support the review and maintenance process of relevant models and model validation documentation.

• Communicate technical information verbally and in writing to both technical and business team effectively. Additionally the role requires the capability to write detailed validation documents/reports for management

• Support in additional book of work or special projects as in when required.

Required Skills/Knowledge

• Bachelor’s degree with 2+ years of hands-on modeling experience in customer facing models such as credit, fraud, marketing or loss forecasting models or lieu of a degree 4+ Years of relevant exeprience.

• 2+ years of experience in developing/validating credit models with statistical tools like SAS, Python, SQL, etc.

• 2+ years of experience using large data sets for statistical and ML modeling within the banking or financial industry. Understanding of quantitative analysis methods or approaches in relation to credit models

• Strong programing skills with 2+ years’ hands-on and proven experience utilizing Python, Spark, SAS, SQL, AWS, Data Lake to perform statistical analysis and manage complex or large amounts of data and 4+ years of relevant experience in lieu of a degree

Desired Skills/Knowledge

• Knowledge of Credit Card/Consumer Finance products and business model.

• Strong knowledge of Regulatory requirements for MRM (SR 11-7 regulation) with proven track records of delivering Regulatory requirements.

• 2+ years in MRM in modeling and validation in the financial services industry including both analytic/modeling/quantitative experience and governance or other credit/financial discipline

Eligibility Criteria:

Bachelor’s degree with 2+ years of hands-on modeling experience in customer facing models such as credit, fraud, marketing or loss forecasting models or lieu of a degree 4+ Years of relevant exeprience.

Work Timings:

This role qualifies for Enhanced Flexibility offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs)

We are proud to offer flexibility at Synchrony. Our way of working allows you the option to work from home or workspaces in our Regional Engagement Hubs—Hyderabad, Bengaluru, Pune, Kolkata, or Delhi/NCR.

Occasionally you may be required to commute or travel to Hyderabad or one of the Regional Engagement Hubs for in person engagement activities such as business or team meetings, trainings, and culture events.

For Internal Applicants:

• Understand the criteria or mandatory skills required for the role, before applying

• Inform your manager and HRM before applying for any role on Workday

• Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format)

• Must not be any corrective action plan (Formal/Final Formal)

• L4 to L7 Employees who have completed 12 months in the organization and 12 months in their current role and level are only eligible

• L8+ Employees who have completed 18 months in the organization and 12 months in their current role and level are only eligible

• Employees at L4+ are eligible to apply for this opportunity

Grade/Level: 9

Job Family Group:

Credit

Job Description:

Role Summary/Purpose:

The AVP, Model Validation is responsible for model validation and ensure they are meeting Model Risk Management policies, standards, procedures as well as regulations (OCC2011-12/SR 11-7). This role requires high level of expertise with minimal technical supervision, requiring the ability to lead validation projects, take accountability for validation results across various model categories, and make meaningful contributions to projects.

Our Way of Working

We’re proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices. Occasionally you will be required to commute or travel for in person engagement activities such as business or team meetings, training and culture events. 

*Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences. 

Essential Responsibilities:

• Serve as a key contributor and lead analyst performing model validation with minimal supervision for credit acquisition, account management, fraud and marketing models built using both machine learning algorithms and traditional logistic regression techniques.

• Perform the full scope end-to-end validation independently for assigned internally and vendor developed new models and existing models.

• Lead/Perform the review and maintenance of relevant model and validation documentation, perform in depth analysis on large data sets and reports to support discussions on key analytics and model risks..

• Work closely within the Risk organization to validate accuracy and performance of all models, whether statistical/AI/ML or non-statistical to identify any issues requiring further investigation, and resolve problems independently.

• Collaborate with the Synchrony Financial business teams to uncover and highlight risk associated with models.

• Keep pace with the latest model developments in academia, regulatory environment, risk technology (vendor and in-house) and financial services industries in order to provide expert guidance to the Synchrony Financial functions.

• Support regulatory examinations and internal audits of the modeling process and selected models samples.

• Provide technical consultation and process improvement to model risk management on recommended solution based on solid research in the academic and industry practice.

• Perform other duties and/or special projects as assigned.

Qualifications/Requirements:

• Master's degree (or foreign equivalent) in Statistics, Mathematics, Data Science or related quantitative field and 4+ years' experience in model development / model validation experience in financial services, banking, or retail.

• 4+ years of hands-on and proven experience with data science and statistical tools including Python, R, SAS, SQL, SPARK, Data Lake, H2O, SageMaker and AWS.

• 4+ years of statistical analysis and the handling large amounts of data and analyzing for trends.

• 4+ years of experience with the application of US regulatory requirements for Model Risk Management.

• Ability and flexibility to travel for business as required

Desired Characteristics:

• Strong knowledge of Regulatory requirements for Model Risk Management with proven track records of delivering Regulatory requirements.

• 5+ years of proven experience in Model Risk Management in modeling and validation in the financial services industry including both analytic/modeling/quantitative experience and governance or other credit/financial discipline.

• Experience in people and project management, including demonstrated ability to develop actionable plan to meet high level objectives, strong execution, and timeline sensitive deliverables.

• Sharp focus on accuracy with extreme attention to detail.

• Knowledge of Credit Card/Consumer Finance products and business model.

• Experience with Machine Learning / AI methodologies and related applications, including generative AI model validation and validation framework development.

• Excellent written and oral communication and presentation skills.

​

Grade/Level: 10

                                                      

The salary range for this position is 100,000.00 - 170,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance.

                                                      

Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge.

Salaries are adjusted according to market in CA, NY Metro and Seattle.

Eligibility Requirements:

• You must be 18 years or older

• You must have a high school diploma or equivalent

• You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process

• You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.

• New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles.  Once this new hire time in position requirement is met, the associate will have a minimum 6 months’ time in position before they can post for future non-exempt roles.  Employees, level 8 or greater, must have at least 18 months’ time in position before they can post.  All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don’t meet the time in position or performance expectations).

Legal authorization to work in the U.S. is required.  We will not sponsor individuals for employment visas, now or in the future, for this job opening. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. 

Our Commitment:

When you join us, you’ll be part of an inclusive culture where your individual skills, experience, and voice are not only heard – but valued. Together, we’re building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow.

 

This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We’re proud to have an award-winning culture for all. 

Reasonable Accommodation Notice:

• Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

• If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627.   Representatives are available from 8am – 5pm Monday to Friday, Central Standard Time

Job Family Group:

Credit

Job Description:

Role Title: VP, Model Monitoring (L12)

Company Overview:

Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more.

• We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by Ambition Box Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.

• We provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being.

• We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles.

Organizational Overview:

Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth

Role Summary/Purpose:

The VP, Model Monitoring is  a role (Including People Management) within India Analytics Hub (IAH), operating under the Decision Management, reporting to the Model Monitoring Lead in US, is a key stakeholder in the ongoing risk oversight of deployed customer and non-customer facing models across the organization. This role serves as a subject matter expert in model monitoring best practices and governance standards, ensuring early identification of model risk through data-driven diagnostics and analyses. Leveraging advanced analytics, visualization tools, and regulatory understanding, this role ensures models remain robust, interpretable, and aligned with evolving business and regulatory expectations—ultimately safeguarding the integrity of the firm’s model risk management lifecycle.

Key Responsibilities

• Support the development and execution of the model monitoring roadmap, ensuring the practices are forward-looking, risk-informed, and aligned with business priorities and regulatory expectations. 

• Lead performance oversight for high-impact models, prioritizing monitoring efforts based on risk, materiality, and business impact—ensuring the right models receive the right level of scrutiny. 

• Build, mentor, and manage a high-performing analytics team, fostering a culture of innovation, accountability, and continuous learning.

• Drive complex performance investigations, including monitoring, reporting, and flagging performance issues to support identification of root causes and business implications and guide coordinated corrective actions 

• Oversee the design and evolution of monitoring tools, dashboards, and alerting systems that deliver timely, actionable insights to stakeholders and support informed decision-making 

• Maintain enterprise-wide monitoring standards, defining performance thresholds, stability indicators, and explainability requirements that reflect both regulatory guidance and internal risk appetite. 

• Champion automation and scalability, leveraging technology and analytics to streamline recurring monitoring routines and ensure consistency, accuracy, and long-term efficiency. 

• Act as a trusted advisor during audits and regulatory reviews, clearly articulating monitoring outcomes, risk mitigations, and the strength of the monitoring framework. 

• Collaborate cross-functionally with model developers, users, validators, and risk officers to ensure that performance insights are integrated throughout the model lifecycle—from design to retirement. 

• Continuously evolve the monitoring function, staying ahead of industry best practices, emerging risks, and new technologies to ensure our capabilities remain strong, relevant, and resilient.

Perform other duties/special projects as assigned

Required Skills & Knowledge

• 8+ years of of experience model analytics, monitoring, validation, or credit risk strategy within a financial or regulated setting. Strong technical proficiency in Python, SQL, and data visualization tools like Tableau or Power BI. 

• Solid understanding of model performance metrics such as KS, AUC, PSI, and statistical indicators of stability and drift. 

• Ability to synthesize complex technical findings into business-friendly communications and recommendations. 

• Experience managing multiple projects or monitoring streams, with attention to timelines, quality, and stakeholder expectations. 

• Experience with data visualization tools like Tableau, Power BI, or similar platforms to create actionable performance dashboards. 

• Working knowledge of performance drift metrics, stability indicators, and key model health metrics. 

• Demonstrated ability to synthesize technical insights into business-aligned narratives and actionable recommendations. 

• Proven project management capabilities with experience leading multiple monitoring initiatives in parallel. 

• Broad understanding of credit risk, fraud, marketing analytics, regulatory modeling, or consumer lending..

Desired Skills & Knowledge

• Exceptional verbal and written communication skills demonstrated through executive and cross-functional stakeholder engagement, detailed-oriented documentation, and visual storytelling.

• Advanced critical thinking skills in analytical problem-solving and the ability to use data to break down complex models.

• Strong project management and leadership skills to achieve specific goals within a defined timeline and budget.

• Familiarity with modern machine learning models, explainability techniques (e.g., SHAP, LIME), and MLOps frameworks. 

• Ability to effectively share knowledge by translating complex, technical subject matter and providing actionable coaching and feedback across all levels.

• Strong business acumen and familiarity with model governance frameworks, regulatory expectations, and internal audit processes (e.g., SR 11-7 compliance, MRM policies).

• Technical experience with exploratory data analysis, statistical modeling, machine learning, and generative AI.

Eligibility Criteria:

8 to 12 years of experience with Bachelor’s degree in a quantitative, technical, or data-focused field (e.g., Statistics, Mathematics, Computer Science, Data Science, Engineering) with 8+ years’ experience OR, in lieu of degree, and 10 to 12 years relevant work experience in model analytics, monitoring and validation.

Work Timings:

This role qualifies for Enhanced Flexibility offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs)
We are proud to offer flexibility at Synchrony. Our way of working allows you the option to work from home or workspaces in our Regional Engagement Hubs—Hyderabad, Bengaluru, Pune, Kolkata, or Delhi/NCR.
Occasionally you may be required to commute or travel to Hyderabad or one of the Regional Engagement Hubs for in person engagement activities such as business or team meetings, trainings, and culture events.

For Internal Applicants:

• Understand the criteria or mandatory skills required for the role, before applying

• Inform your manager or HRM before applying for the role on Workday

• Ensure that your professional profile is updated (fields such as education, prior experience, skills) and it is mandatory to upload your updated resume (Word or PDF format)

• Must not be any corrective action plan (First Formal/Final Formal, LPP)

• L10 + Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible

• L10+ Employees can apply

Grade/Level: 12

Job Family Group:

Data Analytics

Job Description:

Role Title: Manager, Model Risk Management (L9)

Company Overview: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more.

• We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.

• We provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being.

• We provide career advancement and upskilling opportunities, for all to take up leadership roles.

Organizational Overview: Synchrony's Risk Team provides independent oversight of Synchrony’s risk-taking activities to ensure safety and soundness, meet regulatory and legal requirements, and manage risks to the risk-appetite of the Board. Risk is responsible for independently assessing, quantifying, and overseeing risks & providing effective challenge. Risk serves as Synchrony’s Second Line of Defense.  

Overall, Risk Team oversees and manages the Risk Program to support the business in anticipating and addressing risks, issues and challenges. Results are consistent with the respective strategic uses and complying with related overall risk, risk testing policies, standards, procedures as well as regulations. Our Risk organization consists of 4 pillars: Compliance, Credit & Financial Risk, Enterprise Risk and Operational Risk. Each of the pillars play a vital role in managing Risk and supports the business in anticipating and addressing risks, issues, and challenges.

Enterprise Risk provides oversight on Synchrony-wide initiatives and projects and manages issues, risk assessment & reporting, risk monitoring activities, policy standards and procedure framework for governance documents.
 

Role Summary/Purpose

The Manager, Model Validation is responsible for model validation focusing on Loss/reserve/recovery/ forecast to Customer facing credit risk/Fraud risk models (Account acquisition and Account management) , and other models and ensure they are meeting the related Model Risk Management policies, standards, procedures as well as regulations (SR 11-7). This role requires expertise in supporting model validation initiatives related to quantitative analytic modeling with the Synchrony Model Governance and Validation team. This is an individual contributor role. .

Key Responsibilities

• Conduct full scope model review, annual review, ongoing monitoring model performance etc. for both internally and vendor-developed models, including new and existing, statistical/ML or non-statistical models, with effective challenges.

• Evaluate model development data quality, methodology conceptual soundness and accuracy, and conduct model performance testing including back-testing, sensitivity analysis, benchmarking, etc. and timely identify/highlight issues.

• Perform proper documentation within expected timeframes for effectively highlighting the findings for further review/investigation and facilitate informed discussions on key analytics.

• Conduct in-depth analysis of large data sets and support the review and maintenance process of relevant models and model validation documentation.

• Communicate technical information verbally and in writing to both technical and business team effectively. Additionally the role requires the capability to write detailed validation documents/reports for management

• Support in additional book of work or special projects as in when required.

Required Skills/Knowledge

• Bachelor’s degree with 2+ years of hands-on modeling experience in customer facing models such as credit, fraud, marketing or loss forecasting models or lieu of a degree 4+ Years of relevant exeprience.

• 2+ years of experience in developing/validating credit models with statistical tools like SAS, Python, SQL, etc.

• 2+ years of experience using large data sets for statistical and ML modeling within the banking or financial industry. Understanding of quantitative analysis methods or approaches in relation to credit models

• Strong programing skills with 2+ years’ hands-on and proven experience utilizing Python, Spark, SAS, SQL, AWS, Data Lake to perform statistical analysis and manage complex or large amounts of data and 4+ years of relevant experience in lieu of a degree

Desired Skills/Knowledge

• Knowledge of Credit Card/Consumer Finance products and business model.

• Strong knowledge of Regulatory requirements for MRM (SR 11-7 regulation) with proven track records of delivering Regulatory requirements.

• 2+ years in MRM in modeling and validation in the financial services industry including both analytic/modeling/quantitative experience and governance or other credit/financial discipline

Eligibility Criteria:

Bachelor’s degree with 2+ years of hands-on modeling experience in customer facing models such as credit, fraud, marketing or loss forecasting models or lieu of a degree 4+ Years of relevant exeprience.

Work Timings:

This role qualifies for Enhanced Flexibility offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs)

We are proud to offer flexibility at Synchrony. Our way of working allows you the option to work from home or workspaces in our Regional Engagement Hubs—Hyderabad, Bengaluru, Pune, Kolkata, or Delhi/NCR.

Occasionally you may be required to commute or travel to Hyderabad or one of the Regional Engagement Hubs for in person engagement activities such as business or team meetings, trainings, and culture events.

For Internal Applicants:

• Understand the criteria or mandatory skills required for the role, before applying

• Inform your manager and HRM before applying for any role on Workday

• Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format)

• Must not be any corrective action plan (Formal/Final Formal)

• L4 to L7 Employees who have completed 12 months in the organization and 12 months in their current role and level are only eligible

• L8+ Employees who have completed 18 months in the organization and 12 months in their current role and level are only eligible

• Employees at L4+ are eligible to apply for this opportunity

Grade/Level: 9

Job Family Group:

Credit

Job Description:

Role Summary/Purpose:

The AVP, Model Monitoring Analytics Lead is a key stakeholder in the ongoing risk oversight of deployed models across the organization. This role serves as a subject matter expert in model monitoring best practices and governance standards, ensuring early identification of model risk through data-driven diagnostics and analyses. Leveraging advanced analytics, visualization tools, and regulatory understanding, this role ensures models remain robust, interpretable, and aligned with evolving business and regulatory expectations—ultimately safeguarding the integrity of the firm’s model risk management lifecycle.

Our Way of Working

We’re proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices. Occasionally you may be required to commute or travel for in person engagement activities such as business or team meetings, training and culture events.

Essential Responsibilities:

• Support the development and execution of the model monitoring roadmap, ensuring the practices are forward-looking, risk-informed, and aligned with business priorities and regulatory expectations.

• Lead performance oversight for high-impact models, prioritizing monitoring efforts based on risk, materiality, and business impact—ensuring the right models receive the right level of scrutiny. Actively identifying and probing both explicit and implicit assumptions that could lead to model failure.

• Drive complex performance investigations, including monitoring, reporting, and flagging performance issues to support identification of root causes and business implications and guide coordinated corrective actions.

• Oversee the design and evolution of monitoring tools, dashboards, and alerting systems that deliver timely, actionable insights to stakeholders and support informed decision-making

• Maintain enterprise-wide monitoring standards, defining performance thresholds, stability indicators, and explainability requirements that reflect both regulatory guidance and internal risk appetite.

• Manage the end-to-end project lifecycle for model monitoring activities across all in-scope models, ensuring adherence to defined schedules and governance standards.

• Serve as the coordinator for cross-functional teams involved in monitoring execution, including data science, model risk, compliance, model owners,

• Champion automation and scalability, leveraging technology and analytics to streamline recurring monitoring routines and ensure consistency, accuracy, and long-term efficiency.

• Interface with model owners, developers, and validators to ensure timely review and resolution of model monitoring issues.

• Act as a trusted advisor during audits and regulatory reviews, clearly articulating monitoring outcomes, risk mitigations, and the strength of the monitoring framework.

• Collaborate cross-functionally with model developers, users, validators, and risk officers to ensure that performance insights are integrated throughout the model lifecycle—from design to retirement.

• Continuously evolve the monitoring function, staying ahead of industry best practices, emerging risks, and new technologies to ensure our capabilities remain strong, relevant, and resilient.

• Perform other duties and/or special projects as assigned.

Qualifications/Requirements:

• Bachelor’s degree and a minimum of 3 years of experience in model analytics, monitoring, validation, or credit risk strategy within a financial or regulated setting; or in lieu of a Bachelor's Degree, a High School Diploma/GED and a minimum of 6 years of experience in model analytics, monitoring, validation, or credit risk strategy within a financial or regulated setting.

• 3+ years of experience programming with SAS, SQL, Python, or other relevant languages

• Experience with utilizing model performance metrics such as KS, AUC, PSI, and statistical indicators of stability and drift.

• Experience with data visualization tools like Tableau, Power BI, or similar platforms to create actionable performance dashboards.

• Experience with synthesizing technical insights into business-aligned narratives and actionable recommendations.

• Ability and flexibility to travel for business as required

Desired Characteristics:

• Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Engineering, Data Science, Economics, or related discipline).

• Advanced Master’s degree or relevant advanced certification (e.g., CFA, FRM, data science bootcamps).

• Proven project management capabilities with experience leading multiple monitoring initiatives in parallel.

• Ability to synthesize complex technical findings into business-friendly communications and recommendations.

• Working knowledge of performance drift metrics, stability indicators, and key model health metrics.

• Experience managing multiple projects or monitoring streams, with attention to timelines, quality, and stakeholder expectations.

• Familiarity with modern machine learning models, explainability techniques (e.g., SHAP, LIME), and MLOps frameworks.

• Understanding of model governance frameworks, including second-line validation and third-line audit roles (e.g., SR 11-7/0CC 2011-12).

• Excellent communication and stakeholder engagement skills, with a proactive and collaborative approach to problem-solving.

• Experience supporting regulatory interactions, internal reviews, or enterprise risk governance initiatives.

• Ability to thrive in a dynamic, fast-paced, evolving environment and balance competing priorities across multiple teams and diverse stakeholder needs.

Grade/Level: 10

                                                      

The salary range for this position is 100,000.00 - 170,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance.

                                                      

Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge.

Salaries are adjusted according to market in CA, NY Metro and Seattle.

Eligibility Requirements:

• You must be 18 years or older

• You must have a high school diploma or equivalent

• You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process

• You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.

• New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles.  Once this new hire time in position requirement is met, the associate will have a minimum 6 months’ time in position before they can post for future non-exempt roles.  Employees, level 8 or greater, must have at least 18 months’ time in position before they can post.  All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don’t meet the time in position or performance expectations).

Legal authorization to work in the U.S. is required.  We will not sponsor individuals for employment visas, now or in the future, for this job opening. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. 

Our Commitment:

When you join us, you’ll be part of an inclusive culture where your individual skills, experience, and voice are not only heard – but valued. Together, we’re building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow.

 

This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We’re proud to have an award-winning culture for all. 

Reasonable Accommodation Notice:

• Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

• If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627.   Representatives are available from 8am – 5pm Monday to Friday, Central Standard Time

Job Family Group:

Data Analytics

Job Description:

Role Summary/Purpose:

The AVP, Model Monitoring Analytics Lead is a key stakeholder in the ongoing risk oversight of deployed models across the organization. This role serves as a subject matter expert in model monitoring best practices and governance standards, ensuring early identification of model risk through data-driven diagnostics and analyses. Leveraging advanced analytics, visualization tools, and regulatory understanding, this role ensures models remain robust, interpretable, and aligned with evolving business and regulatory expectations—ultimately safeguarding the integrity of the firm’s model risk management lifecycle.

Our Way of Working

We’re proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices. Occasionally you may be required to commute or travel for in person engagement activities such as business or team meetings, training and culture events.

Essential Responsibilities:

• Support the development and execution of the model monitoring roadmap, ensuring the practices are forward-looking, risk-informed, and aligned with business priorities and regulatory expectations.

• Lead performance oversight for high-impact models, prioritizing monitoring efforts based on risk, materiality, and business impact—ensuring the right models receive the right level of scrutiny. Actively identifying and probing both explicit and implicit assumptions that could lead to model failure.

• Drive complex performance investigations, including monitoring, reporting, and flagging performance issues to support identification of root causes and business implications and guide coordinated corrective actions.

• Oversee the design and evolution of monitoring tools, dashboards, and alerting systems that deliver timely, actionable insights to stakeholders and support informed decision-making

• Maintain enterprise-wide monitoring standards, defining performance thresholds, stability indicators, and explainability requirements that reflect both regulatory guidance and internal risk appetite.

• Manage the end-to-end project lifecycle for model monitoring activities across all in-scope models, ensuring adherence to defined schedules and governance standards.

• Serve as the coordinator for cross-functional teams involved in monitoring execution, including data science, model risk, compliance, model owners,

• Champion automation and scalability, leveraging technology and analytics to streamline recurring monitoring routines and ensure consistency, accuracy, and long-term efficiency.

• Interface with model owners, developers, and validators to ensure timely review and resolution of model monitoring issues.

• Act as a trusted advisor during audits and regulatory reviews, clearly articulating monitoring outcomes, risk mitigations, and the strength of the monitoring framework.

• Collaborate cross-functionally with model developers, users, validators, and risk officers to ensure that performance insights are integrated throughout the model lifecycle—from design to retirement.

• Continuously evolve the monitoring function, staying ahead of industry best practices, emerging risks, and new technologies to ensure our capabilities remain strong, relevant, and resilient.

• Perform other duties and/or special projects as assigned.

Qualifications/Requirements:

• Bachelor’s degree and a minimum of 3 years of experience in model analytics, monitoring, validation, or credit risk strategy within a financial or regulated setting; or in lieu of a Bachelor's Degree, a High School Diploma/GED and a minimum of 6 years of experience in model analytics, monitoring, validation, or credit risk strategy within a financial or regulated setting.

• 3+ years of experience programming with SAS, SQL, Python, or other relevant languages

• Experience with utilizing model performance metrics such as KS, AUC, PSI, and statistical indicators of stability and drift.

• Experience with data visualization tools like Tableau, Power BI, or similar platforms to create actionable performance dashboards.

• Experience with synthesizing technical insights into business-aligned narratives and actionable recommendations.

• Ability and flexibility to travel for business as required

Desired Characteristics:

• Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Engineering, Data Science, Economics, or related discipline).

• Advanced Master’s degree or relevant advanced certification (e.g., CFA, FRM, data science bootcamps).

• Proven project management capabilities with experience leading multiple monitoring initiatives in parallel.

• Ability to synthesize complex technical findings into business-friendly communications and recommendations.

• Working knowledge of performance drift metrics, stability indicators, and key model health metrics.

• Experience managing multiple projects or monitoring streams, with attention to timelines, quality, and stakeholder expectations.

• Familiarity with modern machine learning models, explainability techniques (e.g., SHAP, LIME), and MLOps frameworks.

• Understanding of model governance frameworks, including second-line validation and third-line audit roles (e.g., SR 11-7/0CC 2011-12).

• Excellent communication and stakeholder engagement skills, with a proactive and collaborative approach to problem-solving.

• Experience supporting regulatory interactions, internal reviews, or enterprise risk governance initiatives.

• Ability to thrive in a dynamic, fast-paced, evolving environment and balance competing priorities across multiple teams and diverse stakeholder needs.

Grade/Level: 10

                                                      

The salary range for this position is 100,000.00 - 170,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance.

                                                      

Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge.

Salaries are adjusted according to market in CA, NY Metro and Seattle.

Eligibility Requirements:

• You must be 18 years or older

• You must have a high school diploma or equivalent

• You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process

• You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.

• New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles.  Once this new hire time in position requirement is met, the associate will have a minimum 6 months’ time in position before they can post for future non-exempt roles.  Employees, level 8 or greater, must have at least 18 months’ time in position before they can post.  All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don’t meet the time in position or performance expectations).

Legal authorization to work in the U.S. is required.  We will not sponsor individuals for employment visas, now or in the future, for this job opening. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. 

Our Commitment:

When you join us, you’ll be part of an inclusive culture where your individual skills, experience, and voice are not only heard – but valued. Together, we’re building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow.

 

This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We’re proud to have an award-winning culture for all. 

Reasonable Accommodation Notice:

• Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

• If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627.   Representatives are available from 8am – 5pm Monday to Friday, Central Standard Time

Job Family Group:

Data Analytics

Job Description:

Role Title: VP, Model Risk Management (L13)

Company Overview:

Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more.

• We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.

• We provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being.

• We provide career advancement and upskilling opportunities, for all to take up leadership roles.

Organizational Overview:

Synchrony's Risk Team provides independent oversight of Synchrony’s risk-taking activities to ensure safety and soundness, meet regulatory and legal requirements, and manage risks to the risk-appetite of the Board. Risk is responsible for independently assessing, quantifying, and overseeing risks & providing effective challenge. Risk serves as Synchrony’s Second Line of Defense.  

Overall, Risk Team oversees and manages the Risk Program to support the business in anticipating and addressing risks, issues and challenges. Results are consistent with the respective strategic uses and complying with related overall risk, risk testing policies, standards, procedures as well as regulations. Our Risk organization consists of 4 pillars: Compliance, Credit & Financial Risk, Enterprise Risk and Operational Risk. Each of the pillars play a vital role in managing Risk and supports the business in anticipating and addressing risks, issues, and challenges. Enterprise Risk provides oversight on Synchrony-wide initiatives and projects and manages issues, risk assessment & reporting, risk monitoring activities, policy standards and procedure framework for governance documents.
 

Role Summary/Purpose

The VP, Model Risk Management (MRM) will initially serve as a senior individual contributor responsible for executing high-quality, end-to-end model validations across a broad range of model types and business use cases—including machine learning, traditional statistical, and non-statistical/heuristic models. Reviews will span credit risk (acquisition and account management), fraud (transactional and TNF), marketing, collections, finance, forecasting/loss, and other model applications. This role requires demonstrated excellence in independent validation execution, strong technical judgment, and the ability to deliver thorough, business-relevant, policy-compliant reviews with minimal supervision. The VP will use effective project and stakeholder management (clear scope, workplan, milestones, coordination, and timely escalation) to keep validations moving and complete them within agreed timeframes. In addition to meeting governance requirements, validations should generate actionable insights that strengthen model performance, monitoring, and controls. Upon demonstrating sustained high performance as a validator, the role is expected to evolve into a team lead position for the MRM India team (approximately 20 team members via dotted-line reporting). In the team lead capacity, the VP will shift from primarily owning validations to elevating team speed and quality by serving as an active second reviewer, providing hands-on guidance on complex work, and coaching validators on best practices—reducing rework and iteration with U.S. review managers and strengthening consistency of deliverables.

Key Responsibilities

1) Model Validation Delivery (Individual Contributor – Initial Primary Focus)

• Lead and execute end-to-end validations across diverse model categories (machine learning, traditional statistical, and non-statistical/heuristic models), including strong technical challenge, independent testing, clear documentation, and adherence to MRM policies/standards and applicable regulations.

• Deliver high-quality validation work products with minimal oversight, including well-supported conclusions, clearly articulated issues, and practical remediation recommendations.

• Identify model risk and assess control effectiveness across credit (acquisition and account management), fraud (transactional and TNF), marketing, collections, finance, forecasting/loss, and other model use cases.

2) Team Leadership & Capability Building (Upon Demonstrated Success)

• Serve as team lead for the MRM India team (~20 members dotted-line), providing day-to-day guidance and hands-on support to improve quality and turnaround time.

• Act as a hands-on secondary reviewer for selected validations to improve first-pass quality, reduce rework, and accelerate closure timelines.

• Coach and upskill validators through real-time feedback and structured development; develop and/or oversee onboarding and training to ramp new hires within expected timeframes and increase team independence over time.

3) Execution Discipline, Quality, and Timely Delivery

• Manage validations with strong execution discipline (scope, workplan, milestones, dependencies, coordination, and timely escalation) to keep work progressing and close reviews within agreed timeframes.

• Apply consistent quality control and best practices in testing, documentation, issue writing, and model risk articulation; ensure deliverables are audit-ready and examination-ready.

• Drive measurable improvements in delivery efficiency and consistency (e.g., reduced rework/iteration and improved cycle time) across model types.

4) Stakeholder Partnership (U.S. Validation Managers as Key Peers)

• Build strong, trusted relationships with U.S.-based validation managers as key stakeholders and peers; collaborate continuously to understand priorities, expectations, and challenges, and to identify where support is most needed.

• Align early on validation direction, scope, and review approach to minimize rework and improve timeliness.

• Incorporate U.S. validation manager feedback to strengthen second-review support and improve deliverables.

5) Governance, Reporting, and Exam/Audit Support

• Maintain strong governance and documentation practices, including validation artifacts, model risk summaries, and issue/remediation tracking; support governance routines and reporting.

• Provide periodic status updates and visibility into progress, risks, and bottlenecks through dashboards and leadership touchpoints.

• Support internal audits and regulatory examinations by preparing documentation, responding to inquiries, and driving timely remediation of observations.

• Contribute to model governance initiatives and other MRM priorities/special projects as assigned.

Required Skills/Knowledge

• Master's degree (or foreign equivalent) in Statistics, Mathematics, Economics or related quantitative field and 13+ years' experience in model development/model validation experience in financial services, banking, or retail; in lieu of a Master’s degree, 15+ years’ experience in model development/model validation experience in the retail section of a U.S. financial service/banking.

• Model validation leadership (hands-on): Extensive experience leading end-to-end model validations with strong technical challenge, independent testing, clear documentation, and defensible conclusions.

• Machine learning expertise: Deep, hands-on experience validating or developing ML models

• Non-Machine Learning experience (e.g. loss forecast, stress testing, finance, treasury): Working experience validating or developing qualitative models across a broad range of use cases

• MRM governance & regulatory fluency: Strong experience applying U.S. Model Risk Management expectations, including SR 11-7 and OCC 2011-12, to validation planning, execution, documentation, and issue management.

• Domain breadth: Strong working knowledge validating models across credit risk, fraud, marketing, collections, finance, and forecasting use cases.

• Programming & data: Proven, hands-on capability using Python, SQL, and Spark to execute development or validation analyses and work with large datasets in modern data environments (e.g., data lake platforms).

• Leadership & coaching foundation: Demonstrated experience mentoring/coaching analysts/validators, improving quality through review feedback, and influencing delivery outcomes; readiness to step into a dotted-line team lead role.

• Execution discipline: Ability to manage scope, milestones, dependencies, and escalations to maintain momentum and complete validations within agreed timeframes.

• Communication: Strong written and verbal communication skills, including producing clear validation narratives and presenting technical findings to senior stakeholders.

Desired Skills/Knowledge

• Cloud / platform experience: Experience validating or supporting models in cloud-based environments, including AWS/SageMaker.

• Team leadership (people management): Experience leading teams in a matrix/dotted-line environment, including prioritization and quality uplift.

• Project/program management: Experience managing multiple concurrent reviews using structured project management approaches

• Experience validating or developing GEN AI Models

Eligibility Criteria:

Master's degree (or foreign equivalent) in Statistics, Mathematics, Economics or related quantitative field and 13+ years' experience in model development/model validation experience in financial services, banking, or retail; in lieu of a Master’s degree, 15+ years’ experience in model development/model validation experience in the retail section of a U.S. financial service/banking.

Work Timings: 2:30 PM to 11:30 PM IST

For Internal Applicants:

• Understand the criteria or mandatory skills required for the role, before applying

• Inform your manager and HRM before applying for any role on Workday

• Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format)

• Must not be any corrective action plan (First Formal/Final Formal, LPP)

• L11+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible.

• L11+ Employees can apply

Grade/Level: 13

Job Family Group:

Risk Management

Job Description:

Role Summary/Purpose:

The AVP, Model Validation is responsible for model validation and ensure they are meeting Model Risk Management policies, standards, procedures as well as regulations (OCC2011-12/SR 11-7). This role requires high level of expertise with minimal technical supervision, requiring the ability to lead validation projects, take accountability for validation results across various model categories, and make meaningful contributions to projects.

Our Way of Working

We’re proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices. Occasionally you will be required to commute or travel for in person engagement activities such as business or team meetings, training and culture events. 

*Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences. 

Applicants external to Synchrony who are currently employed on H-1B visa must have at least 2 years of eligibility remaining on their current visa term in order for Synchrony to petition for an employment based visa on behalf of such applicant. L1 visa would be considered for an internal candidate meeting all requirements for the L1 and all US Synchrony eligibility requirements.

Applicants holding other types of visas, such as F-1 visas, must have at least 2 years of eligibility that would permit them to work for Synchrony.

Essential Responsibilities:

• Serve as a key contributor and lead analyst performing model validation with minimal supervision for credit acquisition, account management, fraud and marketing models built using both machine learning algorithms and traditional logistic regression techniques.

• Perform the full scope end-to-end validation independently for assigned internally and vendor developed new models and existing models.

• Lead/Perform the review and maintenance of relevant model and validation documentation, perform in depth analysis on large data sets and reports to support discussions on key analytics and model risks..

• Work closely within the Risk organization to validate accuracy and performance of all models, whether statistical/AI/ML or non-statistical to identify any issues requiring further investigation, and resolve problems independently.

• Collaborate with the Synchrony Financial business teams to uncover and highlight risk associated with models.

• Keep pace with the latest model developments in academia, regulatory environment, risk technology (vendor and in-house) and financial services industries in order to provide expert guidance to the Synchrony Financial functions.

• Support regulatory examinations and internal audits of the modeling process and selected models samples.

• Provide technical consultation and process improvement to model risk management on recommended solution based on solid research in the academic and industry practice.

• Perform other duties and/or special projects as assigned.

Qualifications/Requirements:

• Master's degree (or foreign equivalent) in Statistics, Mathematics, Data Science or related quantitative field and 4+ years' experience in model development / model validation experience in financial services, banking, or retail.

• 4+ years of hands-on and proven experience with data science and statistical tools including Python, R, SAS, SQL, SPARK, Data Lake, H2O, SageMaker and AWS.

• 4+ years of statistical analysis and the handling large amounts of data and analyzing for trends.

• 4+ years of experience with the application of US regulatory requirements for Model Risk Management.

• Ability and flexibility to travel for business as required

Desired Characteristics:

• Strong knowledge of Regulatory requirements for Model Risk Management with proven track records of delivering Regulatory requirements.

• 5+ years of proven experience in Model Risk Management in modeling and validation in the financial services industry including both analytic/modeling/quantitative experience and governance or other credit/financial discipline.

• Experience in people and project management, including demonstrated ability to develop actionable plan to meet high level objectives, strong execution, and timeline sensitive deliverables.

• Sharp focus on accuracy with extreme attention to detail.

• Knowledge of Credit Card/Consumer Finance products and business model.

• Experience with Machine Learning / AI methodologies and related applications, including generative AI model validation and validation framework development.

• Excellent written and oral communication and presentation skills.

​

Grade/Level: 10

                                                      

The salary range for this position is 100,000.00 - 170,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance.

                                                      

Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge.

Salaries are adjusted according to market in CA, NY Metro and Seattle.

Eligibility Requirements:

• You must be 18 years or older

• You must have a high school diploma or equivalent

• You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process

• You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.

• New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles.  Once this new hire time in position requirement is met, the associate will have a minimum 6 months’ time in position before they can post for future non-exempt roles.  Employees, level 8 or greater, must have at least 18 months’ time in position before they can post.  All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don’t meet the time in position or performance expectations).

Legal authorization to work in the U.S. is required.  We will not sponsor individuals for employment visas, now or in the future, for this job opening. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. 

Our Commitment:

When you join us, you’ll be part of an inclusive culture where your individual skills, experience, and voice are not only heard – but valued. Together, we’re building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow.

 

This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We’re proud to have an award-winning culture for all. 

Reasonable Accommodation Notice:

• Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

• If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627.   Representatives are available from 8am – 5pm Monday to Friday, Central Standard Time

Job Family Group:

Credit

Job Description: Role Summary/Purpose: At Synchrony, we enable commerce by delivering the leading financial ecosystem that connects our partners and our customers through world-class technology, products, and capabilities. Our partners and customers are at the forefront of everything that we do. Our AI organization is dedicated to advancing artificial intelligence solutions that put people at the center, ensuring technology serves human needs with empathy and respect. Guided by the core values of human-centric design, trust and understanding, and responsible AI governance, we strive to build AI systems that are transparent, fair, and reliable. We commit to fostering confidence among our customers, employees, and stakeholders by upholding the highest ethical standards, promoting accountability, and continuously enhancing AI safety and inclusiveness. Through collaboration, innovation, and stewardship, our AI organization empowers the institution to harness the transformative potential of AI while safeguarding the interests and well-being of all those we serve. The AVP, AI Governance will assist with the design, implementation, and management of a robust AI governance framework that ensures the responsible, ethical, and compliant use of artificial intelligence across the organization. AI Governance aligns AI initiatives with the company’s risk appetite, regulatory requirements, and industry best practices, while fostering collaboration across technical, legal, and business teams. The AVP, AI Governance will also assist with aligning the approved use of AI at Synchrony with AI terms in third party service agreements where applicable. Our Way of Working We’re proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home, near one of our Hubs or come into one of our offices. Occasionally you may be required to commute or travel for in person engagement activities such as business or team meetings, training and culture events. Essential Responsibilities: Implement approved AI governance strategies aligned with the company’s risk appetite, regulatory landscape, and responsible AI standards. Contribute to the development and implementation of AI policies, standards, and controls focusing on transparency, accountability, fairness, privacy, and security. Participate in efforts of compliance with global regulatory requirements related to AI, including data protection laws, financial regulations, and emerging AI-specific guidelines. Manage deployed AI risk assessment methodologies and frameworks to identify, monitor, and mitigate risks associated with AI systems. Collaborate with Engineering, Legal, and Risk teams to review AI models and applications, ensuring explainability, bias mitigation, robustness, and auditability. Facilitate AI governance committees and working groups, facilitating broad stakeholder engagement and governance oversight. Monitor AI developments, emerging risks, and regulatory trends; and assist in updating governance practices to respond to changes. Perform other duties and/or special projects as assigned. Qualifications/Requirements: Bachelor's Degree and 5+ years of IT experience or equivalent leadership program experience, or in lieu of degree High School Diploma/GED and 10+ years of IT experience, experience in developing and implementing information systems and project management experience Experience with leading and facilitating in collaborative Agile teams in Technology Ability and flexibility to travel for business as required Desired Characteristics: Previous AI governance and regulatory experience. Graduate degree preferred Experience or training in law / legal compliance or related preferred Deep understanding of AI technologies, including machine learning, natural language processing, and automation, and their associated risks. Experience in the financial services industry or a highly regulated environment is strongly preferred. Strong knowledge of regulatory frameworks related to AI, data privacy (e.g., GDPR, CCPA), and financial compliance. Proven ability to build and govern cross-functional programs, collaborating with technical and non-technical stakeholders. Excellent communication and leadership skills, capable of influencing senior executives and operational teams. Strong analytical, problem-solving, and risk assessment capabilities. Commitment to ethical AI principles and responsible innovation. Ability to coordinate collaborative projects and knowledge exchanges that contribute to advancing responsible AI research and best practices. Experience in product management, especially technical product management An analytical approach to problem solving and trouble shooting High level of initiative and can work well in a team environment Grade/Level: 11 The salary range for this position is 115,000.00 - 200,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance. Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge. Salaries are adjusted according to market in CA, NY Metro and Seattle. Eligibility Requirements: You must be 18 years or older You must have a high school diploma or equivalent You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act. New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months’ time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months’ time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don’t meet the time in position or performance expectations). Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Our Commitment: When you join us, you’ll be part of an inclusive culture where your individual skills, experience, and voice are not only heard – but valued. Together, we’re building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow. This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We’re proud to have an award-winning culture for all. Reasonable Accommodation Notice: Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627. Representatives are available from 8am – 5pm Monday to Friday, Central Standard Time Job Family Group: Information Technology Synchrony is a premier consumer financial services company delivering customized financing programs across key industries including retail, health, auto, travel and home, along with award-winning consumer banking products. With more than $139 billion in sales financed and 68.5 million active accounts, Synchrony brings deep industry expertise, actionable data insights, innovative solutions and differentiated digital experiences to improve the success of every business we serve and the quality of each life we touch. Our financial expertise spans key product areas, including apparel, electronics and appliances, home furnishings, automotive, power products and sports, jewelry and luxury, other retail, elective healthcare procedures and services, and more. Our investments in technology across multiple platforms—in-store, online and mobile—allow us to engage consumers when and where they want. Our programs and tools strengthen the relationship between our business partners and their customers, driving growth and opportunity across the board.