Risk - Model Risk Governance - Analyst - Warsaw
Worldwide
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Risk, Model Risk Governance, Analyst, Warsaw
Poland
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United Kingdom
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United States
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United States
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Worldwide
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AI Governance & Risk Management - Warsaw - Associate - Software Engineering
Worldwide
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AI Governance & Risk Management - Warsaw - Vice President- Software Engineering
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AI Governance & Risk Management - Warsaw - Vice President- Software Engineering
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Open Positions at Goldman Sachs
12
Full Time
$120,000 - $180,000*
3 weeks ago
Worldwide
Job Description
MORE ABOUT THIS SKILLSET Risk teams focus on giving the firm clarity on the risk profile of our activities and devise strategies to protect the firm’s ability to serve our clients effectively. Embedded in everything we do, risk management is key to effectively identifying, monitoring and anticipating the diverse array of risks the firm faces in serving clients and operating its global businesses, including credit risk, market risk, liquidity risk operational risk and model risk. If you apply to this skillset, you will be considered for multiple roles across the firm that require this skillset. Please note division and function examples below are representative of opportunities common for this skill-set. The list is not exhaustive, and availability of open roles is determined based on business. DIVISIONS AND JOB FUNCTIONS Asset Management Division is a global, broad and deep platform with diversified capabilities across public and private asset classes. We are a top 10 global asset manager with a leadership position across asset classes and key market segments. The integration of our traditional and alternative asset management businesses will enhance our ability to deliver a holistic suite of client-centric investment solutions, benefitted by our global scale, deep industry expertise, market insights and long-standing experience. * Alternatives Capital Markets & Strategy (ACMS) is a firmwide group established in 2019 to oversee all institutional capital markets, capital raising, and strategy for alternative investments throughout Goldman Sachs. Engaging with both Goldman Sachs’ proprietary direct-investing programs and external managers’ open-architecture strategies, the ACMS Group centrally manages capital raising for all alternatives products and portfolio solutions for all institutional investors in alternatives, across private equity, credit, real estate, infrastructure, growth equity, secondaries, GP stakes, impact investing, and absolute-return strategies. Compliance is dedicated to protecting the reputation of the firm and managing risk across all business areas. We work closely with each business, our professionals interpret and ensure compliance with regulatory requirements and determine how the firm can appropriately pursue global market opportunities. We monitor regulatory trends and changes in all jurisdictions in which the firm does business, and we share information and collaborate with regulators to manage financial market risk. * Teams: Financial Crime Compliance, Surveillance Analytics, Global Compliance Testing, Regulatory Practice Group, Regulatory Reporting, Consumer Compliance Conflicts Resolution Group is involved in a wide range of the firm's businesses and transactions and provides exposure to the most senior business leaders and risk managers across the firm. This role offers an exceptional opportunity for professional development for a person interested in financial markets who has the capacity to appreciate the complexities of risk management in the space. CRG reviews business opportunities across the firm to ensure that reputational risk and potential and actual conflicts of interest are identified, assessed and managed so as to protect client relationships, safeguard confidential information, mitigate reputational risk and ensure that we are able to fulfill our responsibilities to our clients prior to accepting a role Consumer (Marcus by Goldman Sachs) builds the consumer bank of the future to address the spending, borrowing and saving needs for millions of customers and help them take control of their financial lives through products that are simple, transparent, valuable, personal and secure. * Consumer Risk is comprised of Credit Risk, Business Risk, Fraud Strategy and Collections, we are responsible for establishing policies and procedures to protect our business. Corporate & Workplace Solutions Our mission is to deliver solutions that maximize the efficiency and productivity of our people. CWS includes the following pillars: Workplace Experience, CWS Engineering, Spend Management, Divisional Management and the Office of Global Security. We strive to build great work solutions and experiences. * Workplace Experience encompasses the comprehensive onsite workplace experience, how people interact with the workplace, on and off-site events and our overall location strategy. Departments include Events, Real Estate Strategy, Real Estate Development and On-Site Solutions, which is comprised of Document Management, Facilities, Ground Transportation and Hospitality. * CWS Engineering aligns several engineering functions focused on collaboration and productivity tools. Departments include Digital Workplace, Client and Production Engineering, Corporate Engineering, Spend, Data and Automation and Product Success and Delivery Engineering. * Spend Management encompasses the functions responsible for managing all aspects of the firm's spend with third parties -- advising commercial agreements, managing third party and payment risk and driving operating efficiency. Departments include Product Finance, Strategic Sourcing, Third Party Governance, Procure to Pay, Integrated Travel and Expense and Infrastructure and Transformation. * Divisional Management aligns division-wide functions to drive strategic cohesiveness, consistency and efficiency. Departments include Business Unit Management, Communications and User Engagement, Risk and Environmental, Social & Governance. Global Markets Division enables our clients to buy and sell financial products, raise funding and manage risk. We make markets and facilitate client transactions in fixed income, equity, currency and commodity products. In addition, we make markets in and clear client transactions on major stock, options and futures exchanges worldwide. Through our global sales force, we maintain relationships with our clients, receiving orders and distributing investment research, trading ideas, market information and analysis. * Equities teams transact in stocks and other equity-related products, including convertible securities, options, and futures. Their work includes financing, securities lending, and other services for institutional investors. * Fixed Income, Currency, and Commodities teams transact in a variety of assets, including interest rate products (such as government bonds, treasury bills, and other highly liquid instruments), credit products, mortgages, currencies, and commodities Internal Audit assesses the firm’s internal control structure, advises management on developing control solutions, and monitors the implementation of these measures. Working in this department means you’ll be providing reasonable assurance that financial reporting is reliable, there is compliance with applicable laws and regulations and the firm’s operations are effectively controlled. Risk aims to effectively identify, monitor, evaluate and manage the firm’s financial and operational risks - including reputational risk - in support of the firm’s strategic plan. Operating in a fast changing environment and utilizing the best in class risk framework, Risk teams are analytically curious, have an aptitude for challenges and an unwavering commitment to excellence. * Teams: Credit Risk, Enterprise Risk, Liquidity Risk, Market Risk, Model Risk, Operational Risk, Risk Engineering, Corporate Risk, Credit Review Group BASIC QUALIFICATIONS * Bachelor’s degree (2018 – June 2022) * 0-3 years of prior work experience in a relevant field. * Proficient to advanced skills with MS Office (Excel, PowerPoint, Word, Outlook) * Highly organized with exceptional attention to detail and follow-through * Strong ability to manage multiple projects with competing deadlines * Team player with positive attitude and strong work ethic * Strong communication skills (written and verbal) * Ability to work in a fast-paced environment * Ability to adapt quickly to a variety of industries and businesses * Ability to self-direct, analyze and evaluate and form independent judgments * Ability to effectively interact and build relationships with senior management and global stakeholders * Commercially savvy with ability to exercise discretion with respect to highly confidential/sensitive information * Integrity, ethical standards and sound judgment ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
Requirements
- Risk Management expertise
- Model Risk Management experience
- Compliance with regulatory requirements
- Data analysis and interpretation skills
- Machine learning knowledge
- Strong communication and collaboration skills
- Ability to work in a fast-paced environment
- Adaptability and flexibility
Benefits
- 401k Matching
- Health Insurance
- Paid Time Off
- Performance Bonus
- Professional Development
- Remote Work
- Training Budget
Skills
Risk Management Model Risk Compliance Regulatory Requirements Machine Learning Data Analysis Financial MarketsFull Time
$120,000 - $180,000*
4 weeks ago
Poland
Worldwide
Job Description
RISK DIVISION Risk aims to effectively identify, monitor, evaluate and manage the firm’s financial and non-financial risks in support of the firm’s strategic plan. Operating in a fast changing environment and utilizing the best in class risk framework, Risk teams are analytically curious, have an aptitude for challenges and an unwavering commitment to excellence. MODEL RISK The Model Risk Management (MRM) group is a multidisciplinary group of quantitative experts at Goldman Sachs with presence in New York, Dallas, London, Warsaw, Singapore, Hong Kong, and Bangalore. MRM is responsible for independent oversight of the firm’s model risk, ensuring compliance with the Model Control Policy, and evidencing effective challenge over model development, documentation, implementation, and usage. The group’s primary mandate is to manage risk that arises from model use through the firm’s range of businesses – including derivatives, securities and other investments’ valuation; market, credit and operational risk management; liquidity and capital computations; and more. RESPONSIBILITIES AND QUALIFICATIONS JOB RESPONSIBILITIES Model Governance * Establish, maintain and enforce the MRM framework and governance structure * Operate processes related to firmwide requirements supporting the MRM framework * Establish requirements specific to Model Inventory, and support quarterly attestations across all divisions in the firm * Oversee ongoing Model performance monitoring jointly with Model Validation and enforce change control procedures * Manage Model validation findings, including tracking and escalation of findings * Communicate and coordinate with Compliance to train key stakeholders on Model Control Policy and related requirements, including any significant changes * Maintain model inventory data integrity by resolving exceptions from automated checks on inventory changes * Help process new model classifications, changes, deactivations * Provide ad-hoc analysis on model inventory * Liaise with MRM Technology team to support Model Inventory Management * Resolve inquiries from model stakeholders and owners on models inventory * Provide support to regulatory processes including IMA/IMM applications, ICAAP, etc. QUALIFICATIONS * Bachelor’s degree in mathematics, computer science, hard sciences, financial engineering or finance/economy * Strong programming skills, including object oriented languages and scripts (e.g., SQL, Access, VBA) are desirable * Experience in a quantitative role in the Financial markets is a plus * Excellent analytical, quantitative, interpersonal and organizational skills, team oriented ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers [https://www.goldmansachs.com/careers/?cid=sch-pd-google-gsbrandcareers-searchad-20185--&mkwid=oGzpEuYF&gclid=Cj0KCQiA5dPuBRCrARIsAJL7oehmD_H4HQyImlk86Gkgk24hMp1TSYW7nitsx8loyHW29RrjInHvFYMaAr_VEALw_wcB]. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html [https://www.goldmansachs.com/careers/footer/disability-statement.html] © The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
Requirements
- Bachelor's degree in mathematics, computer science, hard sciences, financial engineering or finance/economy
- Strong programming skills, including object oriented languages and scripts
- Experience in a quantitative role in the Financial markets
- Excellent analytical, quantitative, interpersonal and organizational skills
- Team oriented
Benefits
- 401k Matching
- Health Insurance
- Paid Time Off
- Performance Bonus
- Remote Work
- Stock Options
- Training Budget
- Wellness Programs
Skills
SQL VBA Quantitative Analysis Model Development Model documentation Model Implementation Access Object Oriented LanguagesFull Time
$80,000 - $140,000*
4 weeks ago
United Kingdom
Worldwide
Job Description
About the Team Goldman Sachs's Model Risk Management (MRM) team plays a critical role in ensuring the safety and soundness of the firm's models. MRM validates a diverse set of models, including AI and machine learning models, used within the firm. This role offers the opportunity to significantly contributions to the firm's overall model risk management framework and AI. MODEL RISK MANAGEMENT (MRM) The Model Risk Management (MRM) group is a multidisciplinary group of quantitative experts at Goldman Sachs with presence in New York, Dallas, London, Birmingham, Warsaw, Hong Kong, and Bangalore. The MRM group is responsible for independent oversight of Model Risk at the firm, ensuring compliance with Firmwide Policy on Model Control and related standards, including documentation to evidence effective challenge over the Model development, implementation, and usage of Models. The group’s primary mandate is to manage risk that arises from models used in the firm through its range of businesses– from models used for derivatives valuation to models used for risk management, liquidity and capital computations. In addition to independently reviewing these classes of models for their validity, theoretical consistency and implementation accuracy, the group is also responsible to assess the risk associated with model choice, e.g., exposure to choice of model in various contexts such as pricing exotic options or in calculating capital. Who We Look For Goldman Sachs is seeking a highly motivated AI Model Risk Associate to join our Model Risk Management (MRM) team in Birmingham. You will play a crucial role in validating the firm's AI models, ensuring their accuracy, reliability, and compliance with regulatory requirements. This is a unique opportunity to gain exposure to a wide range of AI applications within a leading global financial institution and contribute directly to the firm's risk management framework. You will work closely with AI researchers, AI model developers, and other stakeholders to understand model methodologies, assess model risks, and implement validation plans and benchmarking models. Responsibilities * Independently validate the performance, accuracy, and reliability of AI models used within Goldman Sachs, focusing on aspects such as accuracy, explainability, model design, and algorithmic robustness. * Develop and implement validation methodologies and benchmark models tailored to the specific characteristics of AI models. * Conduct thorough testing and analysis of model outputs, identifying and documenting potential risks and limitations. * Collaborate with model developers and business stakeholders to address identified issues and improve model performance. Preferred Qualifications * A Bachelor, Master or Ph.D. degree in Computer Science, Mathematics, Physics, Engineering, or a closely related quantitative field. * Programming expertise in Python, including experience with relevant data science libraries (e.g., NumPy, Pandas, TensorFlow, Pytorch). * Understanding of statistical modelling and machine learning algorithms * Excellent analytical, problem-solving, and communication skills. * Demonstrated curiosity, ownership, and a willingness to work in a collaborative environment. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
Requirements
- Independently validate the performance, accuracy, and reliability of AI models used within Goldman Sachs
- Develop and implement validation methodologies and benchmark models tailored to the specific characteristics of AI models
- Conduct thorough testing and analysis of model outputs, identifying and documenting potential risks and limitations
- Collaborate with model developers and business stakeholders to address identified issues and improve model performance
- A Bachelor, Master or Ph.D. degree in Computer Science, Mathematics, Physics, Engineering, or a closely related quantitative field
- Programming expertise in Python, including experience with relevant data science libraries
- Experience with AI model development and validation
- Strong understanding of machine learning algorithms and techniques
Benefits
- 401k Matching
- Company Retreats
- Conference Budget
- Dental Insurance
- Employee Assistance Program
- Employee Discounts
- Flexible Hours
- Gym Membership
Skills
Python NumPy Pandas TensorFlow Machine Learning Data ScienceFull Time
$120,000 - $180,000*
2 months ago
United States
Worldwide
Job Description
Job Duties: Associate, Model Risk with Goldman Sachs & Co. LLC in Dallas, Texas. Analyze, monitor, and assess model risk associated with the development and implementation of counterparty credit risk models used in Prime Brokerage and Clearing across a wide range of assets including equities, crypto, commodities, FX and credit. Assess model implementation risk by analyzing implementation code and reviewing all associated changes. Verify the conceptual soundness of models and their mathematical and statistical correctness. Examine code implementation in a variety of platforms including C++, Java, Python, or R. Document the entire validation fieldwork in Latex files for automated version controls and report major validation findings to model owners and developers for remedial action. Provide timely updates as required to meet requirements set out in regulatory exams. Monitor the performance of the Firm’s counterparty credit risk models and investigate major model-related incidents. Team with Risk governance, and other federation groups to address any counterparty credit risk model-related issues or new regulatory compliance requirements. Advise senior management on the risks associated with new initiatives and changes to existing counterparty credit risk models. Job Requirements: Master’s degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Industrial Engineering or related field and one (1) year of experience in the job offered or in a related role OR Bachelor’s degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Industrial Engineering or related field and three (3) year of experience in the job offered or in a related role. Prior experience must include one (1) year of experience with Master’s degree or three (3) years of experience with Bachelor’s degree with the following: working with Counterparty Credit Risk Models; performing-testing analysis of statistical models to assess their consistency and performance against historical data; scripting with Python and working with relational databases and SQL for data extraction and processing; pricing and risk analysis of derivative products including futures, options and swaps; performing model development, testing, validation, and issue remediation throughout the model life cycle; and writing formal version-controlled validation reports using LaTex, including equations and tables. ©The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.
Requirements
- Master's degree in Mathematics, Computer Science, Financial Engineering, Industrial Engineering or related field
- 1 year of experience in the job offered or in a related role
- Prior experience with Master's degree or 3 years of experience with Bachelor's degree
- Working with Counterparty Credit Risk Models
- Performing-testing analysis of statistical models
- Scripting with Python and working with relational databases and SQL
- Pricing and risk analysis of derivative products
- Performing model development, testing, validation, and issue remediation
Benefits
- 401k Matching
- Health Insurance
- Paid Time Off
- Performance Bonus
- Stock Options
- Training Budget
Skills
Python C++ Java LaTex SQL Counterparty Credit Risk ModelsFull Time
$120,000 - $180,000*
3 months ago
United States
Worldwide
Job Description
DEPARTMENT OVERVIEW The Model Risk Management (MRM) group is a multidisciplinary group of quantitative experts at Goldman Sachs with presence in New York, Dallas, London, Birmingham, Warsaw, Hong Kong, Bangalore, and Hyderabad. The MRM group is responsible for independent oversight of Model Risk at the firm, ensuring compliance with Model Control Policy and related requirements, including documentation to evidence effective challenge over the Model development, implementation and usage of Models. The group’s primary mandate is to manage risk that arises from models used in the firm through its range of businesses– from models used for derivatives valuation to models used for risk management, liquidity and capital computations. In addition to independently reviewing these classes of models for their validity, theoretical consistency and implementation accuracy, the group is also responsible to assess the risk associated with model choice, e.g., exposure to choice of model in various contexts such as pricing exotic options or in calculating capital. As AI adoption increases across the firm, the MRM group plays a critical role in ensuring that innovative AI capabilities are deployed safely. JOB RESPONSIBILITIES * Play a central role in shaping firmwide AI risk management oversight and governance through: * Management of the AI oversight committee including agenda-setting, materials, and executive-level decision support * Managing the AI risk assessment and approval activities across control functions, working closely with the business and engineers to guide them through the approval process * Owning the firmwide view of AI usage, enabling senior leadership to understand risk posture, trends, and emerging concentrations including through management of the firmwide AI inventory, and tracking and reporting on committee activities, approvals, and follow-ups * Design, maintain, and evolve the firmwide AI governance framework, liaising with other business units such as Legal, Compliance, and Engineering to translate regulatory expectations and emerging industry standards into practical, scalable controls * Liaise with technology teams to design scalable infrastructure for AI inventory management and AI risk assessment and approval workflows * Manage and coordinate engagement with regulators, helping shape external understanding of the firm’s risk management approach QUALIFICATIONS * 3 plus years of experience, preferably in Financial Services and with working knowledge of AI * Excellent project management and communication skills, with ability to work and communicate effectively with a wide variety of technical and non-technical stakeholders across various seniority levels * Excellent analytical, quantitative, interpersonal and organizational skills. Team oriented and able to pick up technical concepts quickly * Comfort operating in areas of evolving regulation and limited precedent, with the ability to exercise sound judgment * Programming skills preferred (e.g., Python) ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html [https://www.goldmansachs.com/careers/footer/disability-statement.html] © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
Requirements
- 3 plus years of experience
- Excellent project management and communication skills
- Excellent analytical, quantitative, interpersonal and organizational skills
- Team oriented and able to pick up technical concepts quickly
- Comfort operating in areas of evolving regulation and limited precedent
- Programming skills
Benefits
- 401k Matching
- Certification Support
- Company Retreats
- Conference Budget
- Dental Insurance
- Disability Insurance
- Employee Assistance Program
- Employee Discounts
Skills
Python AI Machine Learning Risk Management Governance ProgrammingFull Time
$120,000 - $180,000*
4 months ago
Worldwide
Job Description
RISK
Our Risk teams develop comprehensive processes to monitor, assess, and manage the risk of expected and unexpected events that may have an adverse impact on the firm. Risk professionals execute critical day-to-day risk management activities, lead projects, and contribute to the ongoing advancement of a robust risk management program. Effective coordination with executive management, business units, control departments and technology is critical for success.
MODEL RISK MANAGEMENT (MRM)
Goldman Sachs Model Risk Management (MRM) is a multidisciplinary group of quantitative experts located in New York, Dallas, London, Warsaw, Hong Kong, and Bangalore. MRM is responsible for independent oversight and approval of all the firm’s quantitative models, ensuring compliance with both internal and supervisory standards. There are a wide variety of models used in the firm across its range of businesses, including ones used for derivatives valuation, risk management, electronic trading. Mathematical methods employed by these models include stochastic processes, machine learning, optimization techniques, statistical analyses and numerical techniques.
RESPONSIBILITIES
- Perform validation and approval of the firm’s models by verifying conceptual soundness, methodology, and implementation, and by identifying limitations and uncertainties.
- Assess and quantify model risk by developing alternative benchmark models.
- Oversee monitoring of ongoing model performance.
- Communicate validation outcomes to key stakeholders and management.
SKILLS & EXPERIENCE
The MRM group looks for people with strong quantitative and technical backgrounds and a strong interest in financial markets. We seek bright and dynamic individuals with a degree in quantitative fields such as math's, physics, engineering, computer science, or financial engineering. Applicants should possess the following:
- Excellent quantitative problem-solving skills.
- Knowledge of stochastic modeling, numerical simulation, and data analysis.
- Machine learning knowledge (preferred).
- Good communication skills with the ability to explain complex problems in a simple way.
- Eagerness and ability to learn new technologies and programming languages.
- Excellent organizational skills.
- Team orientation and ability to work in a fast-paced environment.
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
© The Goldman Sachs Group, Inc., 2024. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
Requirements
- Excellent quantitative problem-solving skills
- Knowledge of stochastic modeling, numerical simulation, and data analysis
- Machine learning knowledge (preferred)
- Good communication skills with the ability to explain complex problems in a simple way
- Eagerness and ability to learn new technologies and programming languages
- Excellent organizational skills
- Team orientation and ability to work in a fast-paced environment
Benefits
- 401k Matching
- Certification Support
- Company Retreats
- Conference Budget
- Dental Insurance
- Employee Assistance Program
- Employee Discounts
- Equity
Skills
Data Analysis Machine Learning Python Mathematics stochastic modeling numerical simulationFull Time
$120,000 - $180,000*
4 months ago
Worldwide
Job Description
As a Senior AI Guardrail Evaluation Expert & Project Manager, you will play a pivotal role in safeguarding the integrity and trustworthiness of our AI systems. You will lead the charge in evaluating and refining the guardrails that protect our models from generating harmful, biased, or unfaithful content. This is a unique chance to combine your deep technical expertise with your leadership skills, working within a dynamic, hybrid environment to define best practices in AI ethics and safety for the financial industry.
You’ll do
- Lead the comprehensive evaluation and continuous refinement of AI guardrails to ensure robust detection and mitigation of harmful content and behaviours.
- Develop and improve sophisticated strategies for evaluating guardrails against:
- Profane, Toxic, and Adult Content
- Bias detection and mitigation in AI outputs
- Illegal and Harmful Content generation
- Misuse of Personal Data (PII) and other sensitive information
- Hallucination and the generation of unfaithful or factually incorrect content
- Drive the planning, execution, and meticulous documentation of complex AI guardrail evaluation projects, ensuring adherence to timelines, resources, and quality deliverables.
- Identify, onboard, train, and motivate a team of skilled human annotators, providing clear guidance and fostering a high-performance environment.
- Leverage strong linguistic understanding to guide annotation efforts, refine guardrail performance, and ensure high-quality human feedback.
- Collaborate cross-functionally with AI researchers, engineers, product managers, and legal teams to integrate ethical considerations throughout the AI development lifecycle.
You'll bring
- A proven track record in AI/ML ethics, content moderation, linguistic analysis, or a related field, with significant project leadership experience.
- Deep practical expertise in evaluating and improving AI guardrails on an evaluation platform like Braintrust, specifically addressing the categories mentioned above.
- Proficiency with version control systems (e.g., GitHub), collaboration platforms (e.g., Confluence), and data science environments (e.g., JupyterHub).
- Scripting and automation skills, particularly with Python, for data analysis and workflow optimization.
- Demonstrated ability to plan, execute, and meticulously document complex projects, managing timelines, resources, and deliverables effectively.
- Exceptional leadership skills, with experience in building, motivating, and managing high-performing teams, especially human annotators.
- Superior linguistic understanding and analytical capabilities to guide complex annotation tasks and interpret nuanced AI behaviours.
- Excellent communication, interpersonal, and problem-solving skills, with the ability to articulate complex technical concepts.
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
© The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
Requirements
- Proven track record in AI/ML ethics, content moderation, linguistic analysis, or a related field
- Deep practical expertise in evaluating and improving AI guardrails
- Scripting and automation skills, particularly with Python
- Exceptional leadership skills, with experience in building, motivating, and managing high-performing teams
- Superior linguistic understanding and analytical capabilities to guide complex annotation tasks
Benefits
- 401k Matching
- Health Insurance
- Paid Time Off
- Performance Bonus
- Stock Options
Skills
Python JupyterHub GitHub Confluence BraintrustFull Time
$120,000 - $180,000*
4 months ago
Worldwide
Job Description
As a Senior AI Guardrail Evaluation Expert & Project Manager, you will play a pivotal role in safeguarding the integrity and trustworthiness of our AI systems. You will lead the charge in evaluating and refining the guardrails that protect our models from generating harmful, biased, or unfaithful content. This is a unique chance to combine your deep technical expertise with your leadership skills, working within a dynamic, hybrid environment to define best practices in AI ethics and safety for the financial industry.
You’ll do
- Lead the comprehensive evaluation and continuous refinement of AI guardrails to ensure robust detection and mitigation of harmful content and behaviours.
- Develop and improve sophisticated strategies for evaluating guardrails against:
- Profane, Toxic, and Adult Content
- Bias detection and mitigation in AI outputs
- Illegal and Harmful Content generation
- Misuse of Personal Data (PII) and other sensitive information
- Hallucination and the generation of unfaithful or factually incorrect content
- Drive the planning, execution, and meticulous documentation of complex AI guardrail evaluation projects, ensuring adherence to timelines, resources, and quality deliverables.
- Identify, onboard, train, and motivate a team of skilled human annotators, providing clear guidance and fostering a high-performance environment.
- Leverage strong linguistic understanding to guide annotation efforts, refine guardrail performance, and ensure high-quality human feedback.
- Collaborate cross-functionally with AI researchers, engineers, product managers, and legal teams to integrate ethical considerations throughout the AI development lifecycle.
You'll bring
- A proven track record in AI/ML ethics, content moderation, linguistic analysis, or a related field, with significant project leadership experience.
- Deep practical expertise in evaluating and improving AI guardrails on an evaluation platform like Braintrust, specifically addressing the categories mentioned above.
- Proficiency with version control systems (e.g., GitHub), collaboration platforms (e.g., Confluence), and data science environments (e.g., JupyterHub).
- Scripting and automation skills, particularly with Python, for data analysis and workflow optimization.
- Demonstrated ability to plan, execute, and meticulously document complex projects, managing timelines, resources, and deliverables effectively.
- Exceptional leadership skills, with experience in building, motivating, and managing high-performing teams, especially human annotators.
- Superior linguistic understanding and analytical capabilities to guide complex annotation tasks and interpret nuanced AI behaviours.
- Excellent communication, interpersonal, and problem-solving skills, with the ability to articulate complex technical concepts.
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
© The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
Requirements
- Proven track record in AI/ML ethics, content moderation, linguistic analysis, or a related field
- Deep practical expertise in evaluating and improving AI guardrails
- Scripting and automation skills, particularly with Python
- Exceptional leadership skills, with experience in building, motivating, and managing high-performing teams
- Superior linguistic understanding and analytical capabilities to guide complex annotation tasks
Benefits
- 401k Matching
- Health Insurance
- Paid Time Off
- Performance Bonus
- Remote Work
Skills
Python JupyterHub GitHub Confluence BraintrustFull Time
$120,000 - $180,000*
4 months ago
Worldwide
Job Description
As a Senior AI Guardrail Evaluation Expert & Project Manager, you will play a pivotal role in safeguarding the integrity and trustworthiness of our AI systems. You will lead the charge in evaluating and refining the guardrails that protect our models from generating harmful, biased, or unfaithful content. This is a unique chance to combine your deep technical expertise with your leadership skills, working within a dynamic, hybrid environment to define best practices in AI ethics and safety for the financial industry.
You’ll do
- Lead the comprehensive evaluation and continuous refinement of AI guardrails to ensure robust detection and mitigation of harmful content and behaviours.
- Develop and improve sophisticated strategies for evaluating guardrails against:
- Profane, Toxic, and Adult Content
- Bias detection and mitigation in AI outputs
- Illegal and Harmful Content generation
- Misuse of Personal Data (PII) and other sensitive information
- Hallucination and the generation of unfaithful or factually incorrect content
- Drive the planning, execution, and meticulous documentation of complex AI guardrail evaluation projects, ensuring adherence to timelines, resources, and quality deliverables.
- Identify, onboard, train, and motivate a team of skilled human annotators, providing clear guidance and fostering a high-performance environment.
- Leverage strong linguistic understanding to guide annotation efforts, refine guardrail performance, and ensure high-quality human feedback.
- Collaborate cross-functionally with AI researchers, engineers, product managers, and legal teams to integrate ethical considerations throughout the AI development lifecycle.
You'll bring
- A proven track record in AI/ML ethics, content moderation, linguistic analysis, or a related field, with significant project leadership experience.
- Deep practical expertise in evaluating and improving AI guardrails on an evaluation platform like Braintrust, specifically addressing the categories mentioned above.
- Proficiency with version control systems (e.g., GitHub), collaboration platforms (e.g., Confluence), and data science environments (e.g., JupyterHub).
- Scripting and automation skills, particularly with Python, for data analysis and workflow optimization.
- Demonstrated ability to plan, execute, and meticulously document complex projects, managing timelines, resources, and deliverables effectively.
- Exceptional leadership skills, with experience in building, motivating, and managing high-performing teams, especially human annotators.
- Superior linguistic understanding and analytical capabilities to guide complex annotation tasks and interpret nuanced AI behaviours.
- Excellent communication, interpersonal, and problem-solving skills, with the ability to articulate complex technical concepts.
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
© The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
Requirements
- Proven track record in AI/ML ethics, content moderation, linguistic analysis, or a related field
- Deep practical expertise in evaluating and improving AI guardrails
- Scripting and automation skills, particularly with Python
- Exceptional leadership skills, with experience in building, motivating, and managing high-performing teams
- Superior linguistic understanding and analytical capabilities to guide complex annotation tasks
Benefits
- 401k Matching
- Health Insurance
- Paid Time Off
- Performance Bonus
- Stock Options
Skills
Python JupyterHub GitHub Confluence BraintrustFull Time
$120,000 - $180,000*
4 months ago
Worldwide
Job Description
As a Senior AI Guardrail Evaluation Expert & Project Manager, you will play a pivotal role in safeguarding the integrity and trustworthiness of our AI systems. You will lead the charge in evaluating and refining the guardrails that protect our models from generating harmful, biased, or unfaithful content. This is a unique chance to combine your deep technical expertise with your leadership skills, working within a dynamic, hybrid environment to define best practices in AI ethics and safety for the financial industry.
You’ll do
- Lead the comprehensive evaluation and continuous refinement of AI guardrails to ensure robust detection and mitigation of harmful content and behaviours.
- Develop and improve sophisticated strategies for evaluating guardrails against:
- Profane, Toxic, and Adult Content
- Bias detection and mitigation in AI outputs
- Illegal and Harmful Content generation
- Misuse of Personal Data (PII) and other sensitive information
- Hallucination and the generation of unfaithful or factually incorrect content
- Drive the planning, execution, and meticulous documentation of complex AI guardrail evaluation projects, ensuring adherence to timelines, resources, and quality deliverables.
- Identify, onboard, train, and motivate a team of skilled human annotators, providing clear guidance and fostering a high-performance environment.
- Leverage strong linguistic understanding to guide annotation efforts, refine guardrail performance, and ensure high-quality human feedback.
- Collaborate cross-functionally with AI researchers, engineers, product managers, and legal teams to integrate ethical considerations throughout the AI development lifecycle.
You'll bring
- A proven track record in AI/ML ethics, content moderation, linguistic analysis, or a related field, with significant project leadership experience.
- Deep practical expertise in evaluating and improving AI guardrails on an evaluation platform like Braintrust, specifically addressing the categories mentioned above.
- Proficiency with version control systems (e.g., GitHub), collaboration platforms (e.g., Confluence), and data science environments (e.g., JupyterHub).
- Scripting and automation skills, particularly with Python, for data analysis and workflow optimization.
- Demonstrated ability to plan, execute, and meticulously document complex projects, managing timelines, resources, and deliverables effectively.
- Exceptional leadership skills, with experience in building, motivating, and managing high-performing teams, especially human annotators.
- Superior linguistic understanding and analytical capabilities to guide complex annotation tasks and interpret nuanced AI behaviours.
- Excellent communication, interpersonal, and problem-solving skills, with the ability to articulate complex technical concepts.
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
© The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
Requirements
- Proven track record in AI/ML ethics, content moderation, linguistic analysis, or a related field
- Deep practical expertise in evaluating and improving AI guardrails
- Proficiency with version control systems, collaboration platforms, and data science environments
- Scripting and automation skills, particularly with Python
- Demonstrated ability to plan, execute, and meticulously document complex projects
- Exceptional leadership skills, with experience in building, motivating, and managing high-performing teams
- Superior linguistic understanding and analytical capabilities to guide complex annotation tasks
- Excellent communication, interpersonal, and problem-solving skills
Benefits
- 401k Matching
- Health Insurance
- Paid Time Off
- Performance Bonus
- Professional Development
- Remote Work
- Stock Options
- Training Budget
Skills
Python JupyterHub GitHub Confluence BraintrustFull Time
$120,000 - $180,000*
4 months ago
Worldwide
Job Description
As a Senior AI Guardrail Evaluation Expert & Project Manager, you will play a pivotal role in safeguarding the integrity and trustworthiness of our AI systems. You will lead the charge in evaluating and refining the guardrails that protect our models from generating harmful, biased, or unfaithful content. This is a unique chance to combine your deep technical expertise with your leadership skills, working within a dynamic, hybrid environment to define best practices in AI ethics and safety for the financial industry.
You’ll do
- Lead the comprehensive evaluation and continuous refinement of AI guardrails to ensure robust detection and mitigation of harmful content and behaviours.
- Develop and improve sophisticated strategies for evaluating guardrails against:
- Profane, Toxic, and Adult Content
- Bias detection and mitigation in AI outputs
- Illegal and Harmful Content generation
- Misuse of Personal Data (PII) and other sensitive information
- Hallucination and the generation of unfaithful or factually incorrect content
- Drive the planning, execution, and meticulous documentation of complex AI guardrail evaluation projects, ensuring adherence to timelines, resources, and quality deliverables.
- Identify, onboard, train, and motivate a team of skilled human annotators, providing clear guidance and fostering a high-performance environment.
- Leverage strong linguistic understanding to guide annotation efforts, refine guardrail performance, and ensure high-quality human feedback.
- Collaborate cross-functionally with AI researchers, engineers, product managers, and legal teams to integrate ethical considerations throughout the AI development lifecycle.
You'll bring
- A proven track record in AI/ML ethics, content moderation, linguistic analysis, or a related field, with significant project leadership experience.
- Deep practical expertise in evaluating and improving AI guardrails on an evaluation platform like Braintrust, specifically addressing the categories mentioned above.
- Proficiency with version control systems (e.g., GitHub), collaboration platforms (e.g., Confluence), and data science environments (e.g., JupyterHub).
- Scripting and automation skills, particularly with Python, for data analysis and workflow optimization.
- Demonstrated ability to plan, execute, and meticulously document complex projects, managing timelines, resources, and deliverables effectively.
- Exceptional leadership skills, with experience in building, motivating, and managing high-performing teams, especially human annotators.
- Superior linguistic understanding and analytical capabilities to guide complex annotation tasks and interpret nuanced AI behaviours.
- Excellent communication, interpersonal, and problem-solving skills, with the ability to articulate complex technical concepts.
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
© The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
Requirements
- Proven track record in AI/ML ethics, content moderation, linguistic analysis, or a related field
- Deep practical expertise in evaluating and improving AI guardrails
- Proficiency with version control systems, collaboration platforms, and data science environments
- Scripting and automation skills, particularly with Python
- Demonstrated ability to plan, execute, and meticulously document complex projects
- Exceptional leadership skills, with experience in building, motivating, and managing high-performing teams
- Superior linguistic understanding and analytical capabilities to guide complex annotation tasks
- Excellent communication, interpersonal, and problem-solving skills
Benefits
- 401k Matching
- Health Insurance
- Paid Time Off
- Performance Bonus
- Professional Development
- Remote Work
- Stock Options
- Training Budget
Skills
Python JupyterHub GitHub Confluence BraintrustFull Time
$120,000 - $180,000*
4 months ago
Worldwide
Job Description
As a Senior AI Guardrail Evaluation Expert & Project Manager, you will play a pivotal role in safeguarding the integrity and trustworthiness of our AI systems. You will lead the charge in evaluating and refining the guardrails that protect our models from generating harmful, biased, or unfaithful content. This is a unique chance to combine your deep technical expertise with your leadership skills, working within a dynamic, hybrid environment to define best practices in AI ethics and safety for the financial industry.
You’ll do
- Lead the comprehensive evaluation and continuous refinement of AI guardrails to ensure robust detection and mitigation of harmful content and behaviours.
- Develop and improve sophisticated strategies for evaluating guardrails against:
- Profane, Toxic, and Adult Content
- Bias detection and mitigation in AI outputs
- Illegal and Harmful Content generation
- Misuse of Personal Data (PII) and other sensitive information
- Hallucination and the generation of unfaithful or factually incorrect content
- Drive the planning, execution, and meticulous documentation of complex AI guardrail evaluation projects, ensuring adherence to timelines, resources, and quality deliverables.
- Identify, onboard, train, and motivate a team of skilled human annotators, providing clear guidance and fostering a high-performance environment.
- Leverage strong linguistic understanding to guide annotation efforts, refine guardrail performance, and ensure high-quality human feedback.
- Collaborate cross-functionally with AI researchers, engineers, product managers, and legal teams to integrate ethical considerations throughout the AI development lifecycle.
You'll bring
- A proven track record in AI/ML ethics, content moderation, linguistic analysis, or a related field, with significant project leadership experience.
- Deep practical expertise in evaluating and improving AI guardrails on an evaluation platform like Braintrust, specifically addressing the categories mentioned above.
- Proficiency with version control systems (e.g., GitHub), collaboration platforms (e.g., Confluence), and data science environments (e.g., JupyterHub).
- Scripting and automation skills, particularly with Python, for data analysis and workflow optimization.
- Demonstrated ability to plan, execute, and meticulously document complex projects, managing timelines, resources, and deliverables effectively.
- Exceptional leadership skills, with experience in building, motivating, and managing high-performing teams, especially human annotators.
- Superior linguistic understanding and analytical capabilities to guide complex annotation tasks and interpret nuanced AI behaviours.
- Excellent communication, interpersonal, and problem-solving skills, with the ability to articulate complex technical concepts.
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
© The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
Requirements
- Proven track record in AI/ML ethics, content moderation, linguistic analysis, or a related field
- Deep practical expertise in evaluating and improving AI guardrails
- Proficiency with version control systems, collaboration platforms, and data science environments
- Scripting and automation skills, particularly with Python
- Demonstrated ability to plan, execute, and meticulously document complex projects
- Exceptional leadership skills, with experience in building, motivating, and managing high-performing teams
- Superior linguistic understanding and analytical capabilities to guide complex annotation tasks
- Excellent communication, interpersonal, and problem-solving skills
Benefits
- 401k Matching
- Health Insurance
- Paid Time Off
- Performance Bonus
- Professional Development
- Remote Work
- Stock Options
- Training Budget
