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IBM

Manager- R&C

  • Bengaluru
  • Full-time
  • 2–5 yrs
  • On-site
  • Posted Today

About this role

Your Role and Responsibilities:
  • 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.
Required Education: Bachelor's Degree Preferred Education: Master's Degree Required Technical and Professional Expertise:Education
  • Bachelor's degree in Statistics, Mathematics, Economics, Finance, Data Science, or related quantitative discipline
Experience
  • 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.
  • Experience validating or developing risk, financial, or machine learning models is preferred.
Technical Skills
  • 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.
Preferred Technical and Professional Experience:
  • 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:
o SR 26-2 Model Risk Management Guidanceo OCC Model Risk Management expectationso CECL frameworko Basel regulationso Fair Lending and model governance requirementso AI/ML model risk considerationsCompetencies
  • 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.
Key Deliverables
  • Comprehensive model validation reports.
  • Validation test workpapers and supporting documentation.
  • Findings and remediation tracking.
  • Model performance monitoring assessments.
Years of Experience:2 - 5

Skills

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