Morgan Stanley - Associate - Market Risk Analytics - EMEA

Department Profile :

The cornerstone of Morgan Stanley's risk management philosophy is the execution of risk-adjusted returns through prudent risk-taking that protects Morgan Stanley's capital base, liquidity and franchise. The EMEA Market Risk Management Division is responsible for the independent identification, analysis, reporting and escalation of all market risk exposures arising from EMEA and UK Group business activities, acting independently of business management and providing an effective challenge process.

Primary Responsibilities :

- Morgan Stanley is seeking an Associate to work in its Market Risk Analytics team. The team is responsible for the development of market risk methodology and market risk models which feed directly into the firm's internal and regulatory capital calculations and risk management frameworks.

- The team operates in London, Budapest and Mumbai.

- We seek candidates with a strong desire to learn and the ability to work well at both the regional and global level.

Core responsibilities include :

- Development, enhancement and maintenance of market risk models (VaR, Stressed VaR, IRC, CRM and RNIV) to ensure ongoing appropriateness.

- Contribution to key regulatory deliverables and programs as well as analysis and interpretation of key regulatory requirements.

- 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

Skills required (essential) :

- An excellent academic background, including as advanced degree in a quantitative discipline, such as quantitative finance, statistics/mathematics, sciences or engineering.

- Deep understanding of quantitative risk including good knowledge of financial products and their risk representation.

- Demonstrable experience in delivering enhancements to risk models, ability to produce high quality, accurate work, under pressure and to tight deadlines

- 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 ( e.g. Python, R) and preferably experience/knowledge of professional development concepts and technologies and modern development toolchain

- Strong communication skills for written, graphical and verbal presentations and ability to explain complicated concepts clearly to business partners and present proposals in a clear and precise manner.