CrawlJobs Logo

Manager, Data Scientist - Model Risk Audit

capitalone.com Logo

Capital One

Location Icon

Location:
United States , McLean

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

179400.00 - 245600.00 USD / Year

Job Description:

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. As part of Capital One’s Model Audit team, you will have a unique vantage point to review models and model risk practices across the enterprise and the opportunity to connect the dots to raise the appropriate model risk issues and provide assurance to the Audit Committee.

Job Responsibility:

  • Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
  • Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data
  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals

Requirements:

  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
  • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
  • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
  • At least 1 year of experience leveraging open source programming languages for large scale data analysis
  • At least 1 year of experience working with machine learning
  • At least 1 year of experience utilizing relational databases

Nice to have:

  • PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
  • At least 1 year of experience working with AWS
  • At least 4 years’ experience in Python, Scala, or R for large scale data analysis
  • At least 4 years’ experience with machine learning
  • At least 4 years’ experience with SQL
What we offer:
  • performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Additional Information:

Job Posted:
February 16, 2026

Employment Type:
Fulltime
Job Link Share:
PREMIUM
More languages and countries
+ Unlock 31002 hidden job offers
Languages
English Čeština Deutsch Ελληνικά Español Français +15
Countries
United States United Kingdom India Canada Australia +
See plans
Plans from $2.99 / month

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Manager, Data Scientist - Model Risk Audit

Senior Data Scientist

We are seeking a highly experienced and motivated Senior Data Scientist to join ...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field, with 8–14 years of relevant experience
Job Responsibility
Job Responsibility
  • Lead the design, development, and deployment of advanced analytics, statistical models, and machine learning solutions to generate actionable insights that enhance compliance monitoring, auditing, and risk assessment
  • Manage and oversee data science projects end-to-end, including project scoping, planning, execution, and delivery
  • ensure quality control (QC) and validation of work produced by junior data scientists
  • Develop scalable, automated data pipelines and AI-driven analytics products to improve efficiency and accuracy in audit and compliance processes
  • Partner with cross-functional stakeholders across Compliance, Internal Audit, Commercial, R&D, and Information Systems to design and implement analytics solutions aligned with business priorities
  • Access, integrate, and analyze data from multiple enterprise systems (e.g., SAP, Concur, Salesforce.com) to identify trends, anomalies, and compliance risks
  • Serve as a technical and analytical mentor to data scientists and analysts, promoting best practices in data science methodology, documentation, and reproducibility
  • Stay current with emerging technologies and techniques, including generative AI, agentic AI, and automation frameworks, to continuously advance analytical capabilities
  • Effectively communicate complex analytical concepts and findings to both technical and non-technical audiences, including senior leaders
  • Contribute to strategic planning and roadmap development for analytics initiatives within Compliance and Internal Audit
What we offer
What we offer
  • competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Read More
Arrow Right
New

Senior TPM Manager

We are hiring a Group Technical Program Manager to lead the reporting, analytics...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience
  • 1+ years people management experience
  • 2+ years of experience managing cross-functional and/or cross-team projects
Job Responsibility
Job Responsibility
  • Operational systems - Run the platforms that audit, risk, and compliance teams use to deliver results. This includes AI tooling, BI and dashboarding platforms, data pipelines and warehouses, case management, control testing tools, risk registers, and workflow automation amongst others
  • Understand the Microsoft stack and the value it drives, optimize, enable efficiencies where possible and influence the evolution of the ARC technology roadmap
  • Analytics, AI & automation - Drive AI, agent, and analytics-driven modernization of audit and compliance workflows, such as anomaly detection, continuous controls monitoring, audit-request automation, and assisted walkthroughs
  • Build advanced analytics capabilities (statistical sampling, outlier detection, predictive risk scoring) on top of a well-governed data foundation
  • Ensure analytics products meet enterprise standards for data quality, security, privacy, and auditability
  • Reporting & Analytics Operations- Production systems enable enterprise reporting for audit, risk, and compliance. Ensure that the outputs scale and are what leadership needs to deliver desired outcomes
  • Manage the metrics and KPI framework for audit coverage, issue aging, control effectiveness, remediation velocity, and risk posture. Make sure every number is defensible, traceable, and refreshed on a reliable cadence
  • Govern the semantic data model and the "single source of truth" underlying all audit and risk reporting, including data lineage, definitions, data quality, and access controls
  • Drive self-service analytics adoption across the audit, risk, and compliance community through curated datasets, trained reports, and citizen-developer enablement
  • Lead the portfolio roadmap and quarterly prioritization across SOX, internal audit, Investigations, and enterprise risk management workstreams
What we offer
What we offer
  • Certain roles may be eligible for benefits and other compensation
Read More
Arrow Right

Head of Enterprise Data & Analytics

The Head of Enterprise Data Management & Analytics is a senior leadership role r...
Location
Location
United States , San Jose
Salary
Salary:
219000.00 - 300000.00 USD / Year
archer.com Logo
Archer Aviation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (Master’s preferred)
  • 10+ years of experience in data management, analytics, or related roles, with increasing leadership responsibility
  • Proven experience leading teams of data architects and/or data scientists
  • Strong expertise in enterprise data architecture, data warehousing, and analytics platforms (cloud-based preferred)
  • Experience establishing data governance and quality frameworks in a regulated or public company environment
  • Ability to operate effectively in a fast-paced, high-growth setting
  • Familiarity with SOX, financial reporting data requirements, and audit support
  • Hands-on experience with modern data stacks (e.g., cloud data warehouses, BI tools, orchestration frameworks)
  • Demonstrated success scaling data capabilities alongside rapid business growth
  • Excellent written and verbal communication skills
Job Responsibility
Job Responsibility
  • Define and execute the enterprise data management and analytics strategy aligned with business objectives and growth plans
  • Serve as the senior leader for enterprise data architecture, data governance & privacy, analytics, and data science capabilities
  • Establish operating models, standards, and best practices suitable for a growing public company
  • Build, lead, and mentor a high-performing team of data architects and data scientists
  • Own the enterprise data architecture, including data models, integration patterns, and analytics platforms
  • Ensure scalable, secure, and reliable data pipelines across internal and external data sources
  • Partner with engineering and IT teams on cloud data platforms, tooling, and technology roadmaps
  • Drive simplification and modernization of data systems as the company scales
  • Establish and oversee enterprise data governance, including data ownership, stewardship, metadata, and lineage
  • Ensure data quality, consistency, and integrity across enterprise systems
What we offer
What we offer
  • Equal-opportunity employer committed to creating a diverse and inclusive workplace
  • Reasonable accommodations for applicants with physical or mental disabilities, and those with sincerely held religious beliefs
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

We are seeking a Senior Data Scientist to join the Enterprise Reporting and Anal...
Location
Location
United States
Salary
Salary:
100000.00 - 135000.00 USD / Year
personifyhealth.com Logo
Personify Health
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s, Master’s, or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Actuarial Science, or a related field
  • 5-7+ years of experience in data science, with a strong focus on health data, claims analytics, or health insurance
  • Proven experience coding in either SQL and Python or R
  • Python preferred
  • Experience with health data risk models, and program evaluation statistical methodologies such as propensity score matching and difference in differences analyses
  • Troubleshoot and perform data audits to ensure and improve data integrity
  • investigate and resolve data discrepancies
  • Familiarity with predictive modeling, AI/ML algorithms, and working with large datasets
  • Understanding of healthcare regulations (HIPAA, ACA, CMS rules) (preferred)
  • Strong problem-solving and communication skills with the ability to translate technical findings into business strategies
Job Responsibility
Job Responsibility
  • Data Analysis & Modeling: Design, conduct, and manage new analytical projects, starting with project planning, hypothesis development, and data gathering, then to analysis and modeling, and through to communications and recommendations
  • Research & Evaluation: Leverage existing studies, literature, and analyses into current research and analysis projects
  • Risk Stratification: Design risk models to assess member health risks and recommend proactive interventions for cost savings and better health outcomes through care recommendations
  • Delivery of Results: Build presentations, reports and dashboards that translate complex data into actionable insights for decision-making
  • Data Engineering & Integration: Work with data engineering and data development teams to optimize data pipelines, ensure data quality, and integrate diverse health datasets
  • Regulatory & Compliance Analysis: Ensure models comply with HIPAA, CMS, and other regulatory guidelines while supporting analytical insights and reporting
  • Collaboration & Leadership: Partner with operational and client teams to present results and to drive data-driven strategies and mentor junior data scientists
What we offer
What we offer
  • Comprehensive medical and dental coverage through our own health solutions
  • Mental health support and wellness programs designed by experts who get it
  • Flexible work arrangements that fit your life
  • Retirement planning support to help you build real wealth for the future
  • Basic Life and AD&D Insurance plus Short-Term and Long-Term Disability protection
  • Employee savings programs and voluntary benefits like Critical Illness and Hospital Indemnity coverage
  • Professional development opportunities and clear career progression paths
  • Mentorship from industry leaders who want to see you succeed
  • Learning budget to invest in skills that matter to your future
  • Competitive base salary that rewards your success
  • Fulltime
Read More
Arrow Right

Vp/lead Vp, Mrm Ai Coe

Model Risk Management (MRM) at HSBC is structured as a global function, headed u...
Location
Location
Poland , Krakow
Salary
Salary:
23300.00 - 30900.00 PLN / Month
https://www.hsbc.com Logo
HSBC
Expiration Date
June 08, 2026
Flip Icon
Requirements
Requirements
  • Master’s or PhD degree in a quantitative discipline like Science, Engineering, Mathematics, Statistics, Quantitative Finance, or Engineering
  • Data Scientist with relevant experience leading the building or validating AI products
  • Deep understanding of AI models, algorithms and the associated mathematics
  • Experience with Python, including the main libraries used for data science and AI (e.g. PyTorch, TensorFlow, scikit-learn)
  • Knowledge of the risks associated with developing, deploying and using AI in large commercial organizations
  • Knowledge of the regulatory landscape for AI and ability to access the impact of proposed changes in these regulatory rules to the bank
  • Knowledge of AI research, methodologies and techniques, particularly General Purpose AI, Deep Neural Networks, Agentic AI frameworks and statistical analysis (Variable Reduction, Feature engineering) with Supervised and Unsupervised machine learning algorithms
  • Expertise with data cleaning, feature engineering, and data normalization techniques
  • Active interest in the latest tools and ways of working linked to AI, with the ability to apply this knowledge in a flexible way adapting to varied circumstances across HSBC
  • Ability to promote a strong risk control culture and continually improve risk awareness
Job Responsibility
Job Responsibility
  • Lead the local MRM AI CoE team in Krakow based on direction from the Global Head, MRM AI CoE, coordinate with the Head, MRM AI CoE in India
  • Monitor academic, industry and internal HSBC developments in AI tools, techniques and ways of working to support a forward-looking agenda for emerging risks and challenges that ERM and the Bank may face, and ensure MRM’s approach to AI remains effective, efficient and up to date
  • Undertake AI related model validation activities as dictated by the Global Model Risk Policy including the assessment of
  • model inputs, calculations, reporting outputs, conceptual soundness of the underlying theory and the suitability of the use for its intended purpose, relevance and completeness of data, qualitative information and judgements, documentation, and implementation of the model
  • Identify opportunities to use AI tools and techniques to improve internal MRM processes
  • Adapt or refine existing AI tools to enable their use for internal MRM processes
  • Provide written reports detailing the results of validations highlighting issues identified during the validation
  • Validate remediation activities completed by the ILOD to ensure appropriate resolution of identified issues
  • Work with relevant stakeholders to support the embedding of new Global Model Risk Policies and Procedures
  • Provide model users, model owners, senior management, audit, and regulators (across 1LOD, 2LOD, 3LOD) with confidence that the models and tools developed, maintained, and used within the Group are compliant with internal and regulatory expectations and fit for the intended purpose
What we offer
What we offer
  • Additional car allowance in the amount of 4,786 PLN (monthly, gross)
  • Additional bonuses for recognition awards
  • Multisport card
  • Private medical care
  • Life insurance
  • One-time reimbursement of home office set-up (up to 800 PLN)
  • Cafeteria platform
  • Employee assistance program
  • Additional contributions to PPK scheme
  • Corporate parties & events
  • Fulltime
Read More
Arrow Right

AI Systems & Governance – Specialist

Support the responsible design, deployment, and governance of AI-enabled systems...
Location
Location
Salary
Salary:
Not provided
hiremoters.ai Logo
HiRemoters
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in cybersecurity, information security, access governance, or IT security architecture roles
  • 4 years experience in AI governance, analytics operations, automation governance, or related digital roles
  • Understanding of AI/ML concepts, model lifecycle, and automation workflows
  • Familiarity with responsible AI principles (bias, explain ability, transparency, risk controls)
  • Working knowledge of data governance and enterprise architecture concepts
  • Experience with AI-enabled tools or platforms (Azure AI, OpenAI integrations, or equivalent is an advantage)
  • Basic understanding of APIs, integrations, and system workflows
  • Ability to document technical concepts clearly for governance purposes
Job Responsibility
Job Responsibility
  • Support the implementation of AI governance frameworks, standards, and guardrails across AI and automation initiatives
  • Maintain inventories of AI use cases, models, and automation workflows
  • Assist in risk assessment and classification of AI use cases, including bias, explain ability, and operational risks
  • Coordinate documentation of model assumptions, intended use, limitations, and governance approvals
  • Support deployment readiness checks for AI-enabled solutions in collaboration with technical teams
  • Monitor AI systems for compliance with governance standards and escalate risks when required
  • Maintain AI governance documentation and lifecycle tracking
  • Support review processes for new AI use cases before deployment
  • Ensure alignment of AI initiatives with enterprise architecture and data governance standards
  • Contribute to governance reporting related to AI adoption and risk management
What we offer
What we offer
  • Flexible and Remote Working
  • Work from anywhere, supporting your work-life balance
  • Career Growth
  • We're committed to your development, offering training and advancement opportunities
  • Performance Recognition
  • Earn raises and career progression opportunities based on a quarterly performance review and a constructive feedback cycle
  • Health and Fitness Benefits
  • Receive fitness reimbursements from day one, and after one year of employment, gain access to a health budget to support your well-being
  • Extra Paid Annual Leave
  • Enjoy 22 days of vacation, with an additional day added for each year of employment, up to a maximum of 26 days
  • Fulltime
Read More
Arrow Right

AI Product Owner

Beazley’s data reflects the complexity of our business. We are committed to buil...
Location
Location
United Kingdom , Birmingham
Salary
Salary:
Not provided
socialvalueportal.com Logo
Social Value Portal Ltd
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Stakeholder influence, structured problem-solving, commercial acumen, clear communication, and change leadership
  • Domain Expertise: Strong understanding of the specialist area (Ops/Reg, Dist/Marketing, or Policy/Claims) and adjacent functions (pricing, risk, finance)
  • Detailed knowledge of business and technology issues / opportunities related to insurance, data and AI
  • Strong understanding of data management principles, data governance, and analytics
  • Experience in Agile product development and backlog management
  • Degree in Data Science, Computer Science, Business Analytics, or related field
  • advanced degree desirable
  • Demonstrable experience of AI product delivery / ownership within insurance or financial services
  • Strong understanding of AI/ML concepts, model lifecycle, and MLOps
  • Knowledge of ethical AI principles and regulatory frameworks
Job Responsibility
Job Responsibility
  • Define and communicate the vision, goals, and roadmap for AI products
  • Align AI initiatives with business strategy and regulatory compliance
  • Work with Head of AI to establish AI CoE and drive platform / product capability in collaboration with federated analytics teams in Finance, Underwriting, Actuarial and Claims
  • Own and prioritize the AI product backlog, balancing short-term delivery with long-term strategic goals
  • Translate business problems into AI use cases with clear actionable user stories and acceptance criteria
  • Ensure delivery practices (Agile/Scrum/Kanban), NFRs (performance, governance, resilience, privacy-by-design), and control frameworks (quality, metadata, lineage) are embedded
  • Drive delivery of AI products through agile ceremonies (sprint planning, reviews, retrospectives)
  • Monitor KPIs and value metrics to ensure AI products deliver measurable outcomes (e.g., loss ratio improvement, leakage reduction, NB premium, campaign ROI uplift, cycle-time reduction)
  • Maintain product-level scorecards and dashboards tracking usage, quality, SLA performance, and business impact
  • Manage seamless AI product integration into Value streams (martech/Claims, etc) and Change initiatives (Modernisation, Underwriting Transformation, etc.)
What we offer
What we offer
  • Attractive base compensation and discretionary performance related annual bonus
  • Private medical insurance coverage for both you and your dependents
  • Company paid life assurance and long term disability insurance
  • Pension with 10% employer contribution, plus a further matched contribution up to 2.5%
  • 25 days of annual leave (prorated for 1st calendar year of employment), plus public holidays, with the ability to flex the religious bank holidays to suit your religious beliefs, subject to approval
  • Additional annual leave purchase is also available up to a maximum of five additional days per year
  • Up to 2.5 days matched paid leave for volunteering at a charity of your choice and 5 days paid leave to provide or arrange care for a dependent with a long term care need annually
  • Up to £550 reimbursement towards home office setup
  • Free in-office lunch and monthly lifestyle allowance
  • Monthly travel allowance or annual season ticket
  • Fulltime
Read More
Arrow Right

AI Product Owner

Beazley’s data reflects the complexity of our business. We are committed to buil...
Location
Location
United Kingdom , Birmingham
Salary
Salary:
Not provided
socialvalueportal.com Logo
Social Value Portal Ltd
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Stakeholder influence, structured problem-solving, commercial acumen, clear communication, and change leadership
  • Strong understanding of the specialist area (Ops/Reg, Dist/Marketing, or Policy/Claims) and adjacent functions (pricing, risk, finance)
  • Detailed knowledge of business and technology issues / opportunities related to insurance, data and AI
  • Strong understanding of data management principles, data governance, and analytics
  • Experience in Agile product development and backlog management
  • Degree in Data Science, Computer Science, Business Analytics, or related field
  • advanced degree desirable
  • Demonstrable experience of AI product delivery / ownership within insurance or financial services
  • Strong understanding of AI/ML concepts, model lifecycle, and MLOps
  • Knowledge of ethical AI principles and regulatory frameworks
Job Responsibility
Job Responsibility
  • Define and communicate the vision, goals, and roadmap for AI products
  • Align AI initiatives with business strategy and regulatory compliance
  • Work with Head of AI to establish AI CoE and drive platform / product capability in collaboration with federated analytics teams in Finance, Underwriting, Actuarial and Claims
  • Own and prioritize the AI product backlog, balancing short-term delivery with long-term strategic goals
  • Translate business problems into AI use cases with clear actionable user stories and acceptance criteria
  • Ensure delivery practices (Agile/Scrum/Kanban), NFRs (performance, governance, resilience, privacy-by-design), and control frameworks (quality, metadata, lineage) are embedded
  • Drive delivery of AI products through agile ceremonies (sprint planning, reviews, retrospectives)
  • Monitor KPIs and value metrics to ensure AI products deliver measurable outcomes (e.g., loss ratio improvement, leakage reduction, NB premium, campaign ROI uplift, cycle-time reduction)
  • Maintain product-level scorecards and dashboards tracking usage, quality, SLA performance, and business impact
  • Manage seamless AI product integration into Value streams (martech/Claims, etc) and Change initiatives (Modernisation, Underwriting Transformation, etc.)
What we offer
What we offer
  • Attractive base compensation and discretionary performance related annual bonus
  • Private medical insurance coverage for both you and your dependents
  • Company paid life assurance and long term disability insurance
  • Pension with 10% employer contribution, plus a further matched contribution up to 2.5%
  • 25 days of annual leave (prorated for 1st calendar year of employment), plus public holidays, with the ability to flex the religious bank holidays to suit your religious beliefs, subject to approval
  • Additional annual leave purchase is also available up to a maximum of five additional days per year
  • Up to 2.5 days matched paid leave for volunteering at a charity of your choice and 5 days paid leave to provide or arrange care for a dependent with a long term care need annually
  • Up to £550 reimbursement towards home office setup
  • Free in-office lunch and monthly lifestyle allowance
  • Monthly travel allowance or annual season ticket
  • Fulltime
Read More
Arrow Right