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 StrategistThe 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.What You’ll DoLead 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 For2–5 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.WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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 Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.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's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.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, sex stereotype, gender, 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.Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).