Morgan Stanley

Associate - Stress Testing Analytics (Firm Risk Management)

Posted On

June 12, 2024

Location

Mumbai, Maharashtra

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

July 10, 2024

Job Description

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.

Firm Risk Management

Firm Risk Management (FRM) supports Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient risk-adjusted returns, acting as a strategic advisor to the Board and protecting the Firm from exposure to losses as a result of credit, market, liquidity, model and other risks.

Primary Responsibilities include, but are not limited to:
- Development, enhancement and maintenance of capital forecasting models under stress scenarios to ensure ongoing appropriateness and adaptations to new regulations (e.g. FRTB).
- Contribution to key regulatory deliverables and programs as well as analysis and interpretation of key regulatory requirements.
- Perform ongoing monitoring and evaluation of risk capital forecasting models, review existing models to ensure they remain fit for purpose and make improvements where necessary.
- Collaborate closely with the model validation team to understand validation findings and remediate any identified issues.
- Collaborate with the other teams (data, IT, change management) to ensure that model changes are appropriately implemented.
- Document models and associated developmental analysis/testing, present results to partners and stakeholders at internal committees and official governance forums.

Required Qualifications
- Master's or equivalent in a quantitative subject (such as quantitative finance, statistics/mathematics, sciences, or engineering)
- 3 to 5 years of experience at a financial institution or a consulting firm, preferably on a Quant/ Data Science role in a data-rich environment

Skills Required
- Deep understanding of quantitative risk including good knowledge of financial products and their risk representation.
- Demonstrable experience in delivering enhancements to risk models.
- Excellent mathematical, analytical, problem solving and troubleshooting skills.
- Strong programming skills and demonstrable experience in coding numerical methods and algorithms, data analysis and manipulation
- Strong knowledge of at least one prototyping programming language (preferably Python) and preferably experience/knowledge of professional development concepts and technologies and modern development toolchain.
- The ability to effectively communicate with a wide range of stakeholders, both written and verbally
- An interest in working in a fast-paced environment, often balancing multiple high priority deliverables.

"Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents".

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