Associate-Model Risk Management (Mumbai)

Associate-Model Risk Management (Mumbai)

04 Nov
|
Morgan Stanley
|
Mumbai

04 Nov

Morgan Stanley

Mumbai

Company Profile Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture. Department Profile The cornerstone of Morgan Stanleys risk management philosophy is the execution of risk-adjusted returns through prudent risk-taking that protects Morgan Stanley’s capital base and franchise. Risk Management protects the firm from exposure to losses resulting from market volatilities and defaults by our lending and trading counterparties. Background on the Position Morgan Stanley’s Model Risk Management (MRM) department resides within Morgan Stanley’s Firm Risk Management Division. Morgan Stanley’s global MRM team, spread across New York, London, Mumbai and Budapest is broadly responsible for the risk management of all of the Firm’s models involving model validation, risk assessment, and governance and act as an effective second line of defence within the Firm.



Morgan Stanley is seeking a strong candidate to be a member of the MRM team in Mumbai, focused on the review, validation and risk assessment of models and tools on Traded Risk including, but not limited to VaR, FRTB IMA, RNIV etc. 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 Validation and related Risk Management deliverables

Write Model 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, 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

4-6 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 setting focusing on challenging tasks mixing fundamental, quantitative, and market-oriented knowledge and skills is essential

📌 Associate-Model Risk Management (Mumbai)
🏢 Morgan Stanley
📍 Mumbai

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