Rates eTrading Engineer (Vice President)

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.

This is a Lead Software Engineering position at the Vice President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.

Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on.

We are looking for a Senior Java developer with fixed Income electronic trading experience.

The ideal candidate will be expected to gain expertise in several components of this etrading platform and take full ownership of their assignments from requirements gathering to rollout. The nature of the application development tasks could the adding business logic, new services, maintenance, bug fix, QA automation or framework development.


What you’ll do in the role:

• Developer with relevant Java development experience

• Strong knowledge of core/server-side Java

• Development experience in object-oriented programming and working with mixture of new and legacy systems

• Fixed Income domain knowldge. Experience with Rates (US Treasuries or Swaps) is expected

• The candidate must be willing to communicate directly with clients they serve (ex. Traders, Sales representatives, Operations and other technology partners)

• Good problem-solving, result-focused, can-do attitude, and strong focus to keep the business running and competitive.

• Ability to work in a team as individual contributor

• Claude Code or similar CLI AI tools

 
What you’ll bring to the role:

• Previous eTrading experience with B2C Exchanges (eg: Tradeweb/Bloomberg) or B2B Venues (eg: Brokertec/eSpeed/Fenics)

• Previous Algo development experience

• Previous low latency development experience

• Open to learn and work with other technologies (eg: Python) as business objectives require

• 6+ year of relevant experience

• Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or a related field, or equivalent industry experience.

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 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.

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Expected base pay rates for the role will be between $155,000 and $215,000 per year at the commencement of employment. 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 building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

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