eCredit Strategist- VP

This job is focused on building algorithms to trade corporate bonds, bond ETFs, and customized credit portfolios. You will work closely with the trading desk, provide insights into pricing, risk, and liquidity of the credit market, and contribute to monetize the flow, drive the revenue, and expand the business. Research will take a substantial portion of your duty, tackling some of the most challenging quantitative problems in credit market making, such as:

· Realtime pricing for tens of thousands of corporate and EM bonds with limited and noisy input of market data.

· Identify patterns and factors driving trading flow and liquidity of the bonds.

· Develop algorithmic trading and market risk models and design cost-efficient hedging strategies.

· Search for trading signals to best monetize the flow and mitigate adverse selection.

· Help set up an efficient back testing framework to quickly validate new ideas and trading strategies.

You will also be contributing to designing, improving, and maintaining analytical tools and supporting day-to-day operation of the credit algo desk., Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Internal Applicants:

Internal mobility can be a way to grow your career and realize your professional potential. Typically, you must be in your position for at least 18 months and performing satisfactorily before applying for another job at the Firm. Internal applicants can find out more regarding career navigation, mobility guidelines and policy on our employee portal by clickinghere.

Equal opportunities statement:

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.#LI-KF1

The job involves building statistical and/or machine learning models for pricing, risk management, liquidity/flow prediction, alpha research, and many other crucial components of a successful systematic market making strategies. The ideal candidate would be proficient in statistical and machine learning techniques, possesses a creative yet practical mindset when tackling challenging problems, and show genuine interest and passion in quantitative trading., · Advanced degree (PhD, Master or equivalent) in quantitative field such as mathematics, statistics, physics, computer science and engineering. Relevant experience of academic research is a plus. · Basic understanding of financial markets. Knowledge of fixed income instruments is preferred. · Solid knowledge in probability, statistics, machine learning and optimization. · Experience in coding in Python. Knowledge in KDB and Java is a plus. · Comfortable working with large and sparse dataset. · Capable of formulating trading ideas and business request into well-defined problems and making incremental steps to implement the solution. · Experience of developing, deploying, and maintaining models in production. · Ability to communicate complex technical details to a wide range of audience including stake holders, traders, fellow strats and model validators. · Self-motivation, rigor, and tenacity.

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services.

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. We 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.