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.
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 business activities, acting independently of business management and providing an effective challenge process.
Model Risk Management is part of the Firm Risk Management Department of Morgan Stanley and it has global responsibility for the independent risk control, review and validation of models used by Morgan Stanley. These include derivative pricing models in all product areas (i.e. interest rates, currencies, commodities, equities, credit, and securitized products), as well as models used for electronic trading, credit risk (CVA/IMM/IRB), market risk, operational risk, and capital and liquidity stress tests. Model Risk Management professionals are located in New York, London, and Budapest, and they work closely with business quantitative strategists, risk analytics, risk managers and financial controllers. The London team works closely with other members of the Model Risk Management across all model areas globally. Primary Responsibilities
Review, test and independently implement electronic trading models or controls (there will be opportunities to work on other types of models over time)
Produce written model review reports
Conduct on-demand analyses of model or control performance
Participate in the model control and model risk management processes of the Firm
Skills required (essential)
The ideal candidate should have strong previous experience gained in a similar role at a banking institution or equivalent first-hand experience in electronic trading
Masters or Ph.D. degree (or equivalent) in Finance, Economics, Statistics, Machine Learning, Artificial Intelligence, Operations Research or a related quantitative field
In-depth knowledge of electronic trading, market microstructure and relevant statistical and algorithmic methods
Proficiency with object-oriented and reactive programming (preferably in Java or C++), statistical/data science languages (e.g. R/Python) and time-series databases (q/kdb+)
An eye for detail, exceptional logical thinking, integrity and a good business sense
Strong interpersonal, oral and written communication skills Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise 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.
Internal Number: 5237144
About Morgan Stanley
eFinancialCareers is a career site specializing in financial services.