Quantitative Strategist - Structure Rates, Senior Associate/Manager, Fixed Income Division

The position offers close collaboration with regional teams, particularly Singapore, and exposure across Asia rates markets.\n\nResponsibilities\n\n- Quantitative support for the Interest Rates Options Trading desk.\n- Develop and maintain risk management and valuation model tools used by the desk.\n- Improve and maintain market models for interest rate derivatives.\n- Maintain and develop pricing algorithms.\n- Assess pricing model limitations and analyze effectiveness of existing risk models.\n- Monitor daily profit and loss attribution, ensuring model risks properly capture price volatility.\n- Work with control groups to resolve valuation attribution issues and with IT groups to improve profit and loss attribution.\n- Maintain certification of existing valuation and risk models; script and automate routine tasks (e.g., model change analysis, ad‑hoc risk reports) using C++ and Scala.\n- Develop tools for pricing, risk management, and data‑driven insights.\n- Work with controllers and model‑risk groups on documentation and approval.\n- Write and maintain required documentation and testing evidence for control groups, ensuring compliance with model control standards.\n- Respond to inquiries from control groups.\n- Facilitate risk management of the trading desk’s portfolio, developing risk‑analysis algorithms and implementing risk management tools (including stress and scenario tests).\n- Work with risk‑management department to enhance risk‑management practices.\n- Work closely with the trading desk to support existing tools and build next‑generation risk‑management and valuation tools.\n- Explain evaluation and risk‑model behavior under various market‑move scenarios.\n- Communicate to senior traders on key quantitative projects.\n\nQualifications and Experience\n\n- 2‑5 years of experience in a Desk Strat, Quant, or Front‑Office Technology role supporting trading desks.\n- Bachelor’s degree in Engineering or Sciences (Master’s in Financial Engineering, Computational Engineering, or related field a plus).\n- Solid understanding of interest rate derivatives, including caps, swaptions, and Bermudan options.\n- Strong grasp of no‑arbitrage pricing principles.\n- Working knowledge of PnL attribution, with the ability to interpret and explain daily PnL drivers.\n- Ability to discuss pricing and risk behavior of rate products under different market scenarios.\n- Comfortable discussing pricing intuition, risk sensitivities, and PnL drivers of IR derivatives in detail.\n- Strong foundation in quantitative methods (probability, stochastic processes, numerical methods).\n- Conceptual understanding of interest‑rate modeling frameworks (e.g., LMM, SABR, short‑rate models).\n- Experience implementing or debugging models in a production environment.\n- Programming experience in any language (C++, Scala, Java, Python); ability to work across systems is more important than language specialization.\n- Experience building testable, maintainable code for quantitative applications.\n- Strong communication skills with the ability to interact with traders and global teams.\n- Ability to work independently in a fast‑paced trading environment.\n- Strong problem‑solving mindset with a focus on automation and scalable solutions.\n\nMorgan Stanley is an equal‑opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. For more information, visit https://www.morganstanley.com/people-opportunities/eeo.\n\n#J-18808-Ljbffr