
Model Market Risk (XVA/IMM Pricing Model, Vice President, Firm Risk Management
- Mumbai, Maharashtra
- Permanent
- Full-time
- Provide independent review and validation for XVA pricing and/or IMM capital compliant with MRM policies and procedures, regulatory guidance and industry leading practices, including evaluating conceptual soundness, quality of model methodology, model limitations, data quality, and on-going monitoring of model performance
- Take initiatives and responsibility of end-to-end delivery of a stream of Model Validation and related Risk Management deliverables
- Write Model Review findings in validation documents that could be used for presentations both internally (model developers, business unit managers, Audit, various global Committees)
- Verbally communicate results and debate issues, challenges and methodologies with internal audiences including senior management
- Represent MRM team in interactions with regulatory and audit agencies as and when required
- Follow financial markets & business trends on a frequent basis to enhance the quality of Model Validation and related Risk Management deliverables
- Masters or Doctorate degree in a quantitative discipline such as Statistics, Mathematics, Physics, Computer Science or Engineering is essential
- Experience in a Quant role in validation of Models, in developments of Models or in a technical role in Financial institutions e.g. Developer, is essential
- Strong written & verbal communication skills including debating different viewpoints and making formal presentations of complex topics to a wider audience is preferred
- 5+ years of relevant work experience in a Model Validation role in a bank or financial institution
- Proficient programmer in Python ; knowledge of other programming languages like R, Scala, MATLAB etc. is preferred
- Willingness to learn new and complex topics and adapt oneself (continuous learning) is preferred
- Working knowledge of statistical techniques, quantitative finance and programming is essential; good understanding of various complex financial instruments is preferred
- Knowledge of popular machine learning techniques is preferred
- Relevant professional certifications like CQF, CFA or progress made towards it are preferred
- Desire to work in a dynamic, team-oriented, fast-paced environment focusing on challenging tasks mixing fundamental, quantitative, and market-oriented knowledge and skills is essential