FID, Rates Swaps Algo Strat - VP
About The Position
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 Fixed Income Division is comprised of Interest Rate and Currency Products, Credit Products and Distribution. Professionals in the Division assess and actively manages risk, trade securities, and structure as well as execute innovative transactions in the fast-paced and constantly changing global markets. The Commodities Division is a market leader in energy, metals, and agricultural product trading worldwide whose professionals trade in both physical and derivative commodity risk. US Interest Rate Swaps Algorithmic Trading Strategist The US IRS Algo Trading team builds advanced models and systems that power trading in USD interest rate swaps. As a strategist on the team, you’ll design, develop, and deploy automated trading solutions that span pricing, hedging, execution, and risk management. This is a high-impact role with strong visibility—you’ll collaborate closely with bookrunners and technology, contribute directly to the desk’s performance, and see your work make a tangible difference.
Requirements
- 2–5 years of experience in a quantitative role.
- Bachelor’s degree (or higher) in Computer Science, Engineering, Mathematics, Physics, or a related quantitative field.
- Strong programming skills in Python.
- Exposure to Unix/Linux environments.
- Solid analytical and problem-solving skills, with sharp attention to detail and a proactive mindset.
Nice To Haves
- Familiarity with Java or other object-oriented languages is a plus.
- Experience with KDB/q.
Responsibilities
- Lead initiatives across the full lifecycle of electronic trading — from research and modeling to back-testing, deployment, and performance optimization.
- Partner with bookrunners and fellow strats to identify opportunities and deliver meaningful quantitative and technical enhancements.
- Collaborate with technology teams to develop solutions that are robust, scalable, and production-ready.
- Contribute both as a quantitative modeler and hands-on developer, continually improving our automated trading capabilities.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
