Part of the firm's model risk management function, the Model Risk Governance and Review group is charged with developing model risk policy and control procedures, performing model validation activities, providing guidance on a model s appropriate usage in the business context, evaluating ongoing model performance testing and ensuring that model users are aware of the model strengths and limitations.

As a Quant Analytics Analyst/Associate you will be a member of the Model Risk Governance and Review group in Bangalore, tasked with validation and governance of quantitative and qualitative models developed primarily within the Corporate Investment Banking (CIB) lines of businesses for the Firm s Capital Stress Testing, Resolution planning, Risk Management, and other processes. CIB Finance models have exposure to multiple assets classes; hence, you will have day-to-day interaction with multiple development teams and Risk functions. Your position will focus on the following activities

Job responsibilities

Model validation of CIB Finance models - Evaluate conceptual soundness of model specification, the appropriateness of the methodology for its intended purpose, reasonableness of assumptions and reliability of inputs, assessment of model limitations, completeness of testing performed to support the correctness of the implementation.
Perform ongoing performance monitoring tests to ascertain that models performance is acceptable and fit for purpose.
Assist with model governance processes, model inventory and issue management, and help on ad-hoc tasks, special projects and new initiatives as and when required.
Work closely with model developers and controls functions across the firm to understand methodology, usage and establish transparency around model controls, model limitations and performance.

Required qualifications, capabilities, and skills

Analyst or Associate based on number of years of experience in banking / financial services industry with good understanding of Econometric Modelling. Model Validation and Governance experience is preferred.
Advanced degree in Math/Statistics, Finance, Economics, Engineering, or related quantitative discipline.
Strong writing, organizational, communication and negotiation skills.
Strong quantitative and analytical skill, and keen on independent research & problem solving.
Ability to communicate clearly and concisely and collaborate across multiple teams/functions.
Self-starter, and can work independently or with minimum supervision.
Have risk and control mindset and have an eye for details.

Preferred qualifications, capabilities, and skills

Knowledge and interest in Python programming.
Experience in financial products/markets and regulatory stress testing (CCAR/ICAAP).

Role: Business Intelligence & Analytics - Other

Industry Type: Financial Services

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Business Intelligence & Analytics

Education

UG: Any Graduate

PG: Any Postgraduate

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