Credit Automated Trading Strat/Quant Researcher - Fixed Income - Vice President
Listed on 2026-06-19
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Finance & Banking
Data Scientist
Location: New York
Job Summary
The Credit Automated Trading team builds the models, systems and AI-driven tools that underpin our highly successful automated trading business. We are looking for a researcher to work with us at the frontier of algorithmic credit trading, developing new ways to manage risk, predict liquidity, and trade a strategist on the team, you will design, develop, and deploy automated trading solutions, work closely with traders and technology partners, contribute directly to desk performance, and take ideas from concept to production.
Research is essential, but delivery defines success. You will have access to a set of leading AI tools to help you pursue ever better models. Success is measured by improvements in model performance, pricing accuracy, and impact on trading outcomes.
- Use modern analytical tools and LLMs to improve models, speed up development, and generate ideas across the desk.
- Develop and improve real-time pricing models for tens of thousands of corporate and sovereign bonds with limited and noisy market data.
- Identify patterns and factors driving trading flow, liquidity and market behavior and translate them into actionable signals.
- Own initiatives across the full lifecycle of electronic trading from research, modelling and back‑testing to deployment and continuous performance improvement.
- Partner closely with book runners, strats and technology to deliver solutions.
- Enhance our back‑testing and research framework to accelerate idea generation.
- 2–5 years of experience in a quantitative role.
- Advanced degree (PhD, Master or equivalent) in quantitative fields such as mathematics or statistics.
- Experience applying modern technologies, including AI, to solve quantitative and modelling problems.
- Solid understanding of probability, statistics, machine learning, and optimisation.
- Proficiency in Python.
- Familiarity with Q/Kdb+, Scala or Java is beneficial.
- Basic understanding of financial markets; knowledge of fixed‑income products is preferred.
- Ability to explain a model to a trader, defend it to validators and discuss implementation details with technology.
- Comfortable working independently while managing multiple projects simultaneously.
- Self‑motivation, rigor and tenacity.
Expected base pay rates for the role will be between $225,000 - $250,000 for Vice President at the commencement of employment. Base pay, if hired, will be determined on an individualized basis and is only part of the total compensation package, which may also include commission earnings, incentive compensation, discretionary bonuses, other short and long‑term incentive packages, and other Morgan Stanley‑sponsored benefit programs.
Morgan Stanley is an equal‑opportunity employer committed to building and maintaining a diverse workforce.
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