Job Description

Model Risk Management - Vice President | Risk & Capital Planning
Primary Responsibilities
The primary responsibilities of the role include, but are not limited to the following:
? Provide independent review and validation 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 / Tool Validation and related
Risk Management deliverables
? Write Model / Tool Review findings in validation documents that could be used for presentations both
internally (model and tool developers, business unit managers, Audit, various global Committees) as well
as externally (Regulators)
? 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 and Tool
Validation and related Risk Management deliverables.
Qualifications
Skills required (essential / preferred)
? Masters or Doctorate degree in a quantitative discipline such as Statistics, Mathematics, Physics 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
? 12+ 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. 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 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

Skills Required