Remote Python Developer Jobs

Requirements

• Master's Degree or PhD in a quantitative discipline
• Strong understanding of regulatory guidance
• 5 years of modelling experience in financial services
• Experience with complex quantitative modelling
• Numerical analysis and computational methods
• Programming languages (Python, Project R, C/C++, C#, Java, FORTRAN, MATLAB, SAS)
• Mathematical/statistical software packages

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• Design and execute independent test plans for classical ML and LLMs/GenAI
• Define acceptance criteria and go/no-go recommendations
• Partner with teams to qualify opportunities, shape solutions/SOW/ELs, develop proposals and pricing
• Evolve Crowe's AI Governance methodologies, accelerators, control libraries, templates, and training
• Publish insights, speak on webinars/events, and support marketing campaigns to grow brand presence
• Supervise, coach, and develop consultants
• Mentor consultants and help evolve Crowe's run-state accelerators, test harnesses, and control libraries

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Design and execute independent test plans for classical ML and LLMs/GenAI
• Define acceptance criteria and go/no-go recommendations
• Partner with teams to qualify opportunities, shape solutions/SOW/ELs, develop proposals and pricing
• Evolve Crowe's AI Governance methodologies, accelerators, control libraries, templates, and training
• Publish insights, speak on webinars/events, and support marketing campaigns to grow brand presence
• Supervise, coach, and develop consultants; manage
• Quantify risks (bias, robustness, safety, privacy)
• Provide transparent reporting to business, risk, and technology stakeholders

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Develop and maintain the Enterprise AI Risk Management Framework
• Oversee model validation and technical assessments of models across the lifecycle
• Lead evaluations of specific AI risks (e.g., bias detection, explainability, adversarial robustness, hallucination)
• Provide decisive, independent challenge on all AI initiatives
• Prepare high-level risk dashboards and reports for the Board of Directors and regulators

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Retirement Plan

Skills

Requirements

• Strong research or product deployment record in areas related to responsible AI
• Strong research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion models
• Proficient programming skills in Python and deep learning toolkits
• Work with highly-sensitive content with exposure to offensive and controversial content
• BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Remote Work
• Stock Options

Skills

Requirements

• Bachelor’s, Master’s or PhD in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering, Physics)
• 3–5 years of experience in quantitative models for derivatives and/or electronic market making
• Excellence in probability theory, stochastic processes, statistics, and numerical analysis
• Strong understanding of option pricing theory and quantitative models for derivatives
• Experience with Monte Carlo simulation and numerical methods, familiarity with calibration techniques and performance benchmarking

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Training Budget

Skills

Requirements

• Conduct independent validation of AI/ML models
• Design and implement comprehensive validation strategies and test plans
• Define clear success criteria and quality benchmarks
• Assess conceptual soundness, methodology, and alignment with intended business use
• Review data quality, preprocessing steps, and feature engineering for AI use cases
• Execute functional and performance tests
• Evaluate performance metrics, robustness, and limitations under various scenarios
• Document validation findings, provide recommendations

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• Own and evolve the Incubator Environment — the platform and tooling that enables CISO teams to move from idea to working PoC to validated use case
• Partner with cybersecurity domain teams to understand their challenges, identify high-value AI use cases, and rapidly prototype agentic solutions
• Design, build, and deploy agentic AI systems that autonomously perform cybersecurity tasks — including threat analysis, security control validation, intelligent triage, and response orchestration
• Architect multi-agent orchestration systems, defining how AI agents collaborate, delegate, and escalate across security workflows
• Implement robust agent infrastructure: tool use frameworks, memory and context management, planning/execution loops, guardrails, and human-in-the-loop controls

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Bachelor's Degree in Computer Science, Machine Learning, Statistics, or related quantitative field
• Establishes enterprise-grade, decision-relevant methodologies for red teaming, testing, and evaluating AI systems
• Develops reproducible frameworks to measure AI value, user impact, and broader outcomes
• Designs rigorous evaluation methodologies for assessing AI system performance, safety, reliability, and alignment with intended use
• Develops criteria and benchmarks to determine whether existing evaluations are adequate and sufficient for different AI applications and risk profiles
• Establishes standards for evaluation coverage, rigor, and documentation across the AI lifecycle
• Advances the scientific understanding of AI evaluation and safety through white papers and trainings
• Provides technical leadership and mentorship to scientists, engineers, and compliance professionals

Benefits

• 401k Matching
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Review and validate credit rating models
• Discuss review outcomes with model owners and Criteria Officers
• Write high-quality validation reports and memos
• Contribute to enhancements in validation approaches and testing framework
• Develop a solid knowledge of model governance practices and the regulatory environment

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work

Skills

Requirements

• Master's degree in Statistics, Mathematics, Data Science or related quantitative field
• 4+ years' experience in model development/model validation experience in financial services, banking, or retail
• High level of expertise with minimal technical supervision
• Ability to lead validation projects and take accountability for validation results
• Experience with data science and statistical tools including Python, R, SAS, SQL, SPARK, Data Lake, H2O, SageMaker and AWS

Benefits

• 401k Matching
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Highly technology-savvy and continuously current on rapidly evolving AI/LLM platforms, agent frameworks, developer tooling, and emerging attack techniques
• Strong engineering intuition through prior software development experience or equivalent hands-on technical background
• Comfortable reading, writing, and reviewing code (e.g., Python, TypeScript, or similar) to understand AI workflows, model integrations, APIs, pipelines, and real-world failure modes
• Practical experience experimenting with AI tooling, copilots, agents, and 'vibe-coding' workflows
• Able to translate modern development practices into effective AI security guidance

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• 7+ years of experience in model development, validation, or model risk management in financial services
• Master's degree in a quantitative field (Statistics, Economics, Mathematics, Financial Engineering, or similar)
• Hands-on experience with statistical and machine learning models
• Ability to independently assess model performance using Python code and large datasets
• Understanding of regulatory model risk expectations and ability to apply them pragmatically in a high-growth environment
• Strong judgment, intellectual independence, and confidence to challenge assumptions
• Ability to translate complex modeling concepts into clear, actionable insights for senior stakeholders

Benefits

• 401k Matching
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Develop and implement security frameworks for enterprise IT solutions and AI agents
• Conduct risk assessments and threat modeling for enterprise IT and AI systems
• Design and implement technical security solutions and mitigation strategies
• Automate security solutions to achieve a 'secure by default' enterprise IT infrastructure
• Collaborate closely with the AI Taskforce, engineering, and IT teams

Benefits

• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Master’s or Ph.D. degree in computer science, finance, mathematics, applied mathematics, statistics, economics, and/or econometrics, physics or engineering
• Experience in statistical modeling: logistic regressions, scorecards, survival models
• Deep understanding of credit risk concepts (PD, LGD, EAD)
• Expert-judgment and override scorecards, modeling philosophy, benchmarking risk rating models and testing of sensitivity to selected risk variables
• Assessment of model degradation and data stability using metrics like Population Stability Index (PSI), Kolmogorov-Smirnov (KS) test, and in fairness/bias assessments, including demographic parity and equalized odds

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Remote Work

Skills

Requirements

• 6-10 years of experience in quantitative fields such as Mathematics, Statistics, Financial Engineering, Quantitative Finance, Computer Science, Data Science, etc.
• AI/ML development experience in a Data Scientist role or similar – A Must
• NLP development experience in a Data Scientist role or similar – Strongly preferred
• Knowledge of AI risk management and validation
• Ability to work across teams that implement a variety of GenAI solutions
• Ability to own and maintain GenAI solution book of work for eligible GenAI use-cases
• Ability to communicate and coordinate with the model risk validation team on refining the group’s policy or procedural changes

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus
• Remote Work

Skills

Requirements

• Master's or Ph.D. degree in computer science, finance, mathematics, applied mathematics, statistics, economics, and/or econometrics
• Experience of developing and validating statistical models
• Deep knowledge of relevant regulations and guidelines
• In-depth hands-on experience in Statistical modelling tools
• Ability to learn and adapt to new technologies

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Remote Work
• Training Budget

Skills

Requirements

• 5 years relevant experience with Bachelor's in related field
• 3 years relevant experience with
• Design, develop, and implement advanced statistical and analytical methods
• Develop and source software programs, algorithms, dashboards, information tools, and data queries
• Employs statistical concepts, linguistic analysis, and programming skills
• Collaborate with functional business units to drive analytic solutions
• Present findings in a clear and actionable manner to enable informed business and operational decisions

Benefits

• Gym Membership
• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• Perform model validations on AI and GenAI model use cases across The Hartford's functional areas and lines of business to ensure models are performing effectively and efficiently
• Ensure model calculations, machine learning algorithms, and GenAI methods are accurate and appropriate for intended use
• Review and assess the quantitative and qualitative testing techniques to ensure model accuracy, robustness, and reliability
• Assess key data inputs, assumptions, prompt engineering, context engineering for accuracy and appropriateness
• Review model outputs for accuracy and appropriate downstream usage
• Deliver effective challenge to key modeling elements such as inputs, calculations, outputs, conceptual soundness, monitoring & controls, documentation, etc.
• Identify findings and recommendations, including impact analysis, to mitigate model risk and compile clear and concise model validation reports

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• Bachelor's degree in Finance, Statistics, Financial Engineering, or Economics
• 5+ years' experience of working in financial institutions, Big 4 or equivalent, or regulatory supervisory of financial institutions
• Working knowledge of Model risk management regulatory guidance (SR 11-7, OCC 2011-12, FDIC FIL-22-2017)
• Credit risk model types (e.g., CECL, PD/LGD, Roll Rate, Scorecards, Stress Testing, etc.)
• Direct experience performing model validations or model development, including concepts such as back testing, stress testing, sensitivity testing, and benchmarking
• Technical knowledge about data processing, data storage, and data visualization
• Ability to lead and manage a team
• Write and present to clients clear and concise reports and presentations containing meaningful recommendations

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Professional Development

Skills

Requirements

• Bachelor's degree in computer science, Engineering, or related field
• 8+ years of relevant work experience
• Expertise with common security testing methodologies
• Experience with regulatory compliance and industry standards for AI safety
• Familiarity with AI development frameworks and tools
• Strong understanding of AI and machine learning algorithms and their associated risks
• Experience with LLMs, AI Agents, and Natural Language Processing (NLP) techniques, with a focus on safety testing and benchmarking

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• Masters or Doctorate degree in a quantitative discipline
• 6-9 years of relevant work experience in a Model / Tool Validation role
• Proficient programmer in Python
• Knowledge of statistical techniques, quantitative finance and programming
• Good understanding of various complex financial instruments

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Training Budget

Skills

Requirements

• At least nine years of relevant experience
• Five years in pricing or market risk model validation
• Masters or PhD level knowledge on quantitative finance-oriented subject
• Hands on expertise on coding using Python/C++
• CQF certification is a strong added advantage

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Training Budget

Skills

Requirements

• Support the development and execution of the model monitoring roadmap
• Lead performance oversight for high-impact models
• Actively identifying and probing both explicit and implicit assumptions that could lead to model failure
• Drive complex performance investigations
• Oversee the design and evolution of monitoring tools, dashboards, and alerting systems
• Maintain enterprise-wide monitoring standards
• Manage the end-to-end project lifecycle for model monitoring activities
• Serve as the coordinator for cross-functional teams involved in monitoring execution

Benefits

• 401k Matching
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills