FID, E-Rates Algo Quant - VP/Associate
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 ethics. 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. Department Profile The Fixed Income Division (FID) spans Interest Rate and Currency Products, Credit Products, and Distribution. Teams within FID actively manage risk, trade complex securities, and design innovative solutions in fast-moving global markets. The E-Rates group is a global leader in electronic market making for U.S. Treasuries. We build and operate low-latency, high-reliability trading systems that power some of the most active markets in the world. Role Overview We are seeking an experienced E-Trading Algorithmic Quant at the Associate or VP level to help design, build, and evolve best-in-class electronic trading algorithms. This role sits at the intersection of quantitative finance, software engineering, and market microstructure, with direct exposure to production trading systems. Why Join Us This role offers direct impact on real-world markets, ownership of critical trading systems, and the opportunity to work on cutting-edge technology at scale. It is well suited for driven engineers and quants who want responsibility, visibility, and the chance to grow quickly in a world-class electronic trading organization.
Requirements
- Bachelor’s degree or higher in Computer Science or a related field, with additional coursework or background in a quantitative discipline such as Mathematics, Statistics, Physics, or Engineering.
- 2–6 years of experience in electronic trading or electronic trading system development across asset classes such as Rates, FX, or Equities.
- Strong communication skills with the ability to clearly explain complex technical or quantitative concepts.
- Excellent analytical thinking and problem-solving abilities.
- High attention to detail, ownership mindset, and the ability to work thoughtfully in a production-critical environment.
Responsibilities
- Partner closely with Strats and Trading to design, implement, and optimize electronic trading algorithms.
- Apply GenAI and modern engineering techniques to modernize legacy systems and improve performance, maintainability, and scalability.
- Drive efficiency across the SDLC, DevOps tooling, and model risk management (MRM) processes.
- Build and operate highly performant, low-latency, and highly available production systems.
- Work in an agile environment with close feedback loops from traders, quants, and engineers.
- Contribute to a modern technology stack built primarily in C++ and Python.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
