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 Credit Algo Strats team built and run the EU Corporate Bond Algo. The Algo is fully autonomous and trades and manages its own principal risk. We are responsible for the pricing models, trading engines and automated risk management of the Algo.
Continue quantative development of the corporate bond trading algorithm, with initial particular focus on improving the pricing models with an aim to generating +ve PL. Responsibilities will extend to developing and improving trading engines, automated risk management and signal generation.
Skills required (essential)
Strong quantitative skills in probability, stochastic calculus, stochastic optimal control, MCMC, PDEs, numeric methods (Ph.D. or MSc in Maths, Physics, Engineering)
Previous experience in electronic trading of credit or Equity or other
Ability to carry out research and contribute to the pool of ideas
A hands-on ability in numeric analysis tools such as Python, KDB+/Q, C++, VBA, Matlab and R
Understanding of corporate credit products
Good communication skills
The salary of this role is competitive.
The closing date for applications is 01/03/2019
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: 5253549
About Morgan Stanley
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