Public Finance Quantitative Developer & Strategist Fixed Income Associate

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking securities investment management and wealth management services. The Firms employees serve clients worldwide including corporations governments and individuals from more than 1200 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 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 whose professionals trade in both physical and derivative commodity risk.

The Setup

Picture a market that finances schools hospitals bridges and transit systems across America.

Now picture it moving fast issuance calendars shifting daily yields repricing in real time traders making split-second calls on inventory and originators trying to win mandates in a market where the difference between winning and losing is a few basis points and the quality of your analysis.

Thats the Public Finance Business and we need someone who can think in models and ship in Python.

What Youll Actually Do

Youll be part quant part engineer part product thinker and you wont be handing work off to someone else to make it real. Youll take your own ideas from a concept all the way to a production application in use every day.

On any given week you might:

• Build a model that helps the desk understand where risk is quietly accumulating

• Ship a React dashboard that puts that models output in front of the right people in real time

• Automate a workflow that used to take someone two hours and now takes two seconds

• Integrate an AI agent that reads deal documents extracts key terms and flags anomalies before anyone else notices

• Question an assumption the business has been making for years with data and be right

We use Python Flask React kdb/q Docker OpenAI and Anthropic Claude and were building AI into everything. If that stack excites you keep reading.

The Kind of Person Were Looking For

• You think in systems. You dont just solve the problem in front of you you build something that solves it 1000 times automatically with logging monitoring and in a way that it can interact with every other system we build

• You ship things. Ideas are cheap. You know how to take an idea through design development testing and deployment and you care about what happens after it goes live

• Youre quantitatively grounded. You understand probability statistics and why models fail. Youre skeptical of your own outputs and even more skeptical of other peoples

• Youre excited about AI not intimidated by it. Youve used LLMs as a coding tool youve thought about how to embed them into workflows and you want to be at the frontier of whats possible in a regulated financial environment

• You communicate clearly. You can explain a complex idea to a trader who doesnt care about your methodology only whether it works

What Youll Need

• Masters or PhD in a quantitative field or a strong undergraduate background with demonstrated hands-on experience.

• Strong Python you write clean testable production-ready code

• CI/CD fluency: Git Docker structured development workflow

• Solid statistics and probability fundamentals

• Some exposure to fixed income (or you learn fast and ask good questions)

• Experience using GenAI coding tools (Copilot Cursor etc.)

Why This Role

Because youll actually own things. Your models will have impact. Your apps will be used. Your ideas will be heard. Youll work alongside senior strategists bankers and traders who will push you and youll push back with data.

Were not looking for someone to maintain spreadsheets. Were looking for someone who will make spreadsheets obsolete.

AI is not the future here its the present. Were actively building it into our workflows our tools and our thinking using frontier models RAG architectures and LLM-powered automation. If you want to be somewhere that takes that seriously this is it.

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 thats differentiated and weve 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 - arent just beliefs they guide the decisions we make every day to do whats best for our clients communities and more than 80000 employees in 1200 offices across 42 countries. At Morgan Stanley youll 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. Theres 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$150000 - $200000per year for Associate 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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