Morgan Stanley
US Interest Rate Swaps Algorithmic Trading Strategist
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.
The Fixed Income Division is comprised of Interest Rate and Currency Products, Credit Products and Distribution. Professionals in the Division assess and actively manage 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.
What You’ll Do
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.
What We’re Looking For
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.
Familiarity with Java or other object‑oriented languages is a plus.
Experience with KDB/q.
Exposure to Unix/Linux environments.
Solid analytical and problem‑solving skills, with sharp attention to detail and a proactive mindset.
Expected base pay rates for the role will be between $150,000 and $200,000 for Associate and between $160,000 and $250,000 for Vice President. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, 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 diversifying its workforce (M/F/Disability/Vet).
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
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The Fixed Income Division is comprised of Interest Rate and Currency Products, Credit Products and Distribution. Professionals in the Division assess and actively manage 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.
What You’ll Do
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.
What We’re Looking For
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.
Familiarity with Java or other object‑oriented languages is a plus.
Experience with KDB/q.
Exposure to Unix/Linux environments.
Solid analytical and problem‑solving skills, with sharp attention to detail and a proactive mindset.
Expected base pay rates for the role will be between $150,000 and $200,000 for Associate and between $160,000 and $250,000 for Vice President. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, 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 diversifying its workforce (M/F/Disability/Vet).
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
#J-18808-Ljbffr