BENGALURU · FULLTIME
Manager- R&C
IBM
Bengaluru · onsite · Posted 5d ago
Sourced from
Undisclosed2–5 yrsfulltimeBengaluru
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Section · 01
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 Guidance
o OCC Model Risk Management expectations
o CECL framework
o Basel regulations
o Fair Lending and model governance requirements
o AI/ML model risk considerations
Competencies
- 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
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Section · 02
Skills
data qualityConceptual DesignMarket Riskai modelsmathematicsLendingclassificationAnalyticsBankingcredit riskCommunication SkillsFinancial ServicesAmlcompliancefinanceData ScienceArtificial IntelligenceMachine LearningForecasting
Section · Company
About IBM
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