Manager- R&C
IBM · Posted Oct 12
Hybrid cloud, artificial intelligence, enterprise software, quantum computing, and IT consulting services
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About the role
Enterprise Operations at IBM supports a bank's Model Risk Management (MRM) framework through independent model validation. The team assesses quantitative and qualitative models including credit risk, market risk, liquidity risk, stress testing, AML/fraud, capital planning, CECL, pricing, and machine learning models in line with SR 26-2, OCC, and FDIC expectations. This role performs independent validations and reviews of models/EUCs across the model lifecycle under the supervision of the U.S. team, working with model developers, business stakeholders, Internal Audit, and regulators.
What you will do
- Perform independent validations and reviews of models/EUCs across the model lifecycle under supervision of the US team.
- Assess model conceptual design, methodology, assumptions, limitations, data quality, implementation, and usage.
- Conduct quantitative testing, including: Outcome analysis Benchmarking Back-testing Sensitivity analysis Stress testing Performance monitoring reviews
- Evaluate model development documentation and supporting evidence.
- Verify compliance with internal model risk policies and regulatory guidance.
- Assign validation findings and risk ratings based on established governance standards.
- Develop recommendations for model improvements and risk mitigation.
- Assist in maintaining the model inventory, model risk ratings, and issue tracking and remediation.
- Collaborate with bank MRM team, model developers, business units, risk management teams, and technology teams.
- Comprehensive model validation reports.
- Validation test workpapers and supporting documentation.
- Findings and remediation tracking.
- Model performance monitoring assessments.
Skills used in this role
What the employer is looking for
- Bachelor's degree in Statistics, Mathematics, Economics, Finance, Data Science, or related quantitative discipline
- 2-5 years of experience in model validation, model development, quantitative analytics, data science, risk management, or related fields within banking or financial services, preferably for U.S. clients.
- Familiarity with model risk management frameworks and regulatory expectations.
- Strong understanding of statistical and quantitative modeling techniques.
- Knowledge of: Regression analysis Time series forecasting Classification models Machine learning methodologies Probability and statistical inference
- Proficiency in one or more programming languages: Python R SAS SQL
- Experience working with large datasets and analytical tools.
- Strong analytical and critical thinking skills.
- Ability to independently challenge complex quantitative methodologies.
- Excellent written and verbal communication skills.
- Strong report-writing and documentation capabilities.
- Attention to detail and commitment to quality.
- Ability to manage multiple projects and deadlines.
- Strong stakeholder engagement and relationship management skills.
Preferred qualifications
- Experience validating or developing risk, financial, or machine learning models is preferred.
- Master's degree in a quantitative field.
- Experience validating: Credit risk models CECL models Stress testing models Market risk models AML/Fraud models Machine learning and AI models
- Experience or familiarity with: SR 26-2 Model Risk Management Guidance, OCC Model Risk Management expectations, CECL framework, Basel regulations, Fair Lending and model governance requirements, AI/ML model risk considerations
Benefits and support
- Compensation and benefits are detailed in the job posting
About IBM
International Business Machines Corporation (IBM) is a global technology and consulting company that provides hybrid cloud, artificial intelligence, and enterprise infrastructure solutions. Operating in over 175 countries, IBM helps businesses across industries modernize operations, secure data, and drive digital transformation through platforms like watsonx and Red Hat OpenShift. Founded over a century ago, the company remains a pioneer in high-performance computing, enterprise automation, and quantum technology.
- Industry
- Information Technology
- Company size
- 260,000+ employees
- Founded
- June 16, 1911
- Location
- Armonk, New York, USA
- Funding stage
- Public Company
Funding
Public Company · $3.5B raised
- ·Post Ipo Debt$150M
Leadership
Chairman, President and Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President, Software and Chief Commercial Officer
Senior Vice President, IBM Consulting
Senior Vice President, Marketing and Communications
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