Vice President role in Market Risk Analytics team of Morgan Stanley

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

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.

Background on the Group

Morgan Stanley's Risk Analytics department that resides within Firm Risk Management (FRM) performs quantitative analysis on the Firm's Credit, Market, Operational, and Liquidity risk exposures. The departments primary objective is to measure and project risks across the Firm to support executive decisions and protect the Firm. Risk Analytics has main presence in New York and London and attracts talent in Budapest and Mumbai.

Position Background and Responsibilities

Morgan Stanley recruits quantitative research associates for the Risk Analytics Department. The ideal candidate will be actively involved in market risk modeling and statistical analysis of Morgan Stanleys portfolios for the Market Risk Department. The Market Risk Analytics group develops, maintains, and monitors the performance of market risk (VaR, Stressed VaR, IRC and CRM) and stress testing models for Morgan Stanley's portfolio of assets, as required by the regulatory framework and the Firm's risk management needs. Strong problem-solving abilities, solid writing, and oral presentation skills are desired. The candidate should be able to work in fast-paced environment and willing to learn and evolve along with the role.

Primary Responsibilities include, but are not limited to:

• Development, enhancement and maintenance of FRTB market risk models to ensure ongoing appropriateness and adaptations to new regulations
• Contribution to key regulatory deliverables and programs (in particular FRTB SA and SA CVA) as well as analysis and interpretation of key regulatory requirements.
• Development and implementation of P2A models aligned to new FRTB framework
• Perform ongoing monitoring and evaluation of market risk 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; present results to partners and stakeholders
• Manage, guide and train junior members of the team

Skills Required

• 9+ years of work experience in Quantitative modeling, Risk Management, Algorithmic trading, Global markets, or any other quantitative/Data Science field.
• 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
• Advanced knowledge of at least one prototyping programming language (preferably Python) and preferably experience/knowledge of professional development concepts and technologies and modern development toolchain
• Experience in people management is required - the candidate should be able to support and motivate the team
• 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.

Required Qualifications

• Postgraduate/ Advanced degree in Quantitative Finance, Mathematics, Econometrics, Engineering, or other Quantitative subjects.

Desirable Skills

• FRM, CFA, CQF certification is an advantage.

Preferred candidate profile

Perks and benefits