US Interest Rate Swaps Algo Trading Strategist - Fixed Income - Associate / Vice President

Overview   The US E- S waps team builds advanced models and systems that power trading in USD interest rate swaps. As a quantitative strategist focused on algorithmic market making, you will help build, improve, and   operate   automated trading strategies that support the performance of the business.   This role combines quantitative research, hands-on development, and close engagement with live trading systems. You will analyze market data,   identify   signals and monetizable opportunities, and translate those insights into enhancements across pricing, hedging, execution, and risk management. Your work will influence   PnL , market share, client coverage, execution efficiency, and how the algo responds to changing market conditions.   This is a high-impact front-office role with strong visibility. You will collaborate closely with trading, sales, fellow   strats , and technology teams while contributing to the desk’s trading performance and automated   market-making   capabilities.

Lead initiatives across the full lifecycle of electronic and algorithmic market making, from research and modeling to back-testing, deployment, live monitoring, and performance optimization.    Use quantitative methods, including machine learning and statistical modeling, to build, improve, and   operate   automated trading strategies across pricing, hedging, execution, and risk management.    Analyze market data, trading behavior, client flow, and execution patterns to   identify   signals and monetizable opportunities, then translate those insights into practical enhancements to live trading algorithms.    Monitor algo performance and market conditions to help ensure strategies respond effectively to changing market dynamics.     Partner with trading and sales to   identify   opportunities that improve   PnL , market share, client coverage, and execution efficiency.    Collaborate with technology teams to develop solutions that are robust, scalable, and   production-ready .

4+ years of experience in   a quantitative   role, ideally within trading, electronic market making, algorithmic trading, or a front-office environment.    Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, Physics, Financial Engineering, or a related quantitative field.    Strong programming skills in Python   and   working   understanding of software development lifecycle   and system design .    E xperience working with large or high-frequency   market   and trading datasets using   KDB /q .   Strong analytical and problem-solving skills, with sharp attention to detail and a proactive mindset.

Familiarity with Java or other object-oriented programming languages.    Experience working on automated   market-making   strategies, including pricing, hedging, execution, or risk-management logic.   Experience with   rates   product including swaps, UST s , bond/rate futures, and   familiarity with pricing and risk calculation.     Ideal Candidate Profile   The ideal candidate is a hands-on quant strategist who combines strong technical skills with a rigorous analytical approach and takes ownership from idea generation and design through implementation, testing, and ongoing improvement, with a focus on practical business impact.   WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years.  Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At