JOB LEVEL

Associate

Company Profile:

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.

Department Profile:

The Fixed Income Division (FID) is comprised of Interest Rate and Currency Products, Corporate Credit, Muni Products, and Securitized Product Group. 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 Municipality Division is a market leader across a broad range of markets, with expertise in areas including Sales & Trading, Muni Capital Solutions, Muni Capital Markets, and Public Finance.

Job Description:

Join us in building the next generation of large-scale, bond-electronic trading systems powered by advanced neural networks. We’ve already deployed Version 1 and are actively developing Version 2. We’re looking for someone to help lead this evolution.

What You’ll Do:

• Drive the development, optimization, and monitoring of bond-trading algorithms using machine learning and quantitative methods.
• Analyze and track profit and loss (P&L) to identify opportunities to improve performance and reduce risk.
• Design, build, and maintain intuitive dashboards and web-based tools to visualize trading activity, financial exposure, and portfolio performance in real time.
• Collaborate directly with traders to transform data-driven insights into actionable trading strategies.
• Work on hedging frameworks, portfolio composition, and strategy evaluation using large-scale market and transaction data.
• Continuously test hypotheses, measure outcomes, and iterate toward higher alpha and efficiency.

What We Offer:

• A chance to work at the intersection of finance, AI, and real-world impact — where your code directly drives trading decisions.
• Access to deep, high-quality financial datasets and cutting-edge computing infrastructure.
• A small, high-impact team where ideas move fast from concept to production.
• The freedom to experiment, innovate, and directly influence system performance and profitability.

Required Skills:

• MFE degree and/or of 3+ years’ experience working as a desk strategist/quant
• Bachelor’s degree in computer science, mathematics, physics or equivalent
• Working knowledge of probability / statistics
• Enjoy telling stories with data
• Knowledge of financial instruments such as bond, TRS and futures
• Excellent sense of humour
• Experience with python, pandas, numpy and Javascript

Beneficial Skills:

• Knowledge of kdb
• Machine learning algorithms such as random forest and logistic regression
• knowledge of American Football and golf very helpful, (ice hockey also gets a pass)

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 $150,000 to $200,000 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'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).