Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted yesterday

Fixed Income Division - Associate, Municipal Markets (New York)

ms1,325 open roles

Pay
$110,000 – $125,000 a year
Where
New York, New York, United States of America
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowFixed Income Division - Associate, Municipal Markets (New York)ms · New York, New York, United States of America

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on ms's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. ms postings stay open a median of 12 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted yesterday

ms median: 12 days open

The posting

Job Description

Join a quantitative team supporting a large municipal bond market-making desk. We work alongside traders across electronic and voice trading, bond origination, specialized lending, and bespoke derivative products.

Our team uses mathematics, statistics, machine learning, and software to solve practical trading problems. We analyze trading strategies, build electronic trading algorithms, model the financial risks associated with the desk’s inventory, and conduct detailed analysis of trading profits and losses.

Municipal markets offer particularly interesting quantitative challenges. Many securities trade infrequently, bonds differ across numerous structural features, and available market data can be incomplete. We develop mathematical models that connect observable market variables to bond prices, helping the trading desk estimate value, identify relative-value opportunities, manage risk, and make better trading decisions.

The Role

As a Quantitative Strategist, you will work directly with traders, quantitative researchers, and engineers. You will use data and statistical analysis to identify potential trading strategies, assist with complex trades and hedging decisions, and improve the models and systems used to price securities and monitor risk.

You will also help organize and maintain the team’s quantitative research environment, including its modeling software, research archive, Python packages, Linux environment, containers and testing. The role includes both immediate desk-facing analysis and longer-term research into trading strategies and market behavior.

Responsibilities

  • Research and test quantitative trading strategies.
  • Help traders evaluate complex transactions, hedge selection, position sizing, and execution timing.
  • Develop pricing and risk models for municipal bonds, bond derivatives, and related products.
  • Analyze inventory risk, trading activity, and profit-and-loss performance.
  • Apply statistics and machine learning to trading, pricing, and risk-management problems.
  • Help move machine-learning and AI models into production.
  • Organize and maintain quantitative models, research code, and development environments.
  • Communicate analytical findings clearly to traders and other stakeholders.

Qualifications

  • Bachelor’s degree in mathematics.
  • Masters degree in STEM, preferably Applied Math, MFE, Operations Research, Statistics, Physics, Engineering.
  • Strong knowledge of probability, statistics, numerical methods, and mathematical modeling.
  • Good programming skills, preferably in Python.
  • Familiarity with, or an interest in learning, Linux, Git, package management, containers, pandas, and NumPy.
  • Strong interest in trading and financial markets.
  • The ability to take ownership of software, models, and research processes.
  • Excellent analytical, organizational, and communication skills.
  • A collaborative personality and an interest in working closely with PEOPLE on trading desk.
  • Ability to stay calm under pressure
  • Positive, can do, extrovert personality
  • Experience with fixed income, derivatives, bond mathematics, JavaScript, kdb+/q, machine learning, or production model deployment is helpful but not required.
  • Recent graduates and candidates with up to three years of relevant experience are encouraged to apply. Prior municipal bond experience is not required.

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.

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 $110,000 and $125,000 per year at the commencement of employment for Analyst or $150,000 - $200,000 per year for Associate. 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.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against ms's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on ms's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    ms's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.