About Morgan Stanley
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services.
Location / Role
London
Associate to VP
Role Overview
We are seeking a highly motivated and technically proficient Quantitative Strategist at the Associate/VP level to join our front‑office team supporting the Credit Derivatives Trading Desk. This role offers a unique opportunity to work directly with traders and sales professionals on a wide range of credit products, including Single Name CDS, Credit Indices, Index Options, Index Tranches, and Total Return Swaps (TRS). The strategist will play a critical role in enhancing pricing accuracy, managing risk, improving liquidity insights, and driving revenue growth through data‑driven strategies and analytics.
Responsibilities
- Collaborate closely with traders and sales teams to support daily business activities. Respond to desk inquiries with timely and accurate analysis, contributing to trade idea generation and execution. Analyse, report, and monitor the performance of business and resource allocations, providing actionable insights and recommendations to senior management.
- Design and implement relative value models and analytical tools to support trading decisions, risk management, P&L attribution, product pricing, and strategic market analysis. Stay abreast of regulatory changes and industry trends to ensure competitive positioning.
- Leverage quantitative insights to monetise trading flows, identify revenue opportunities, and support business expansion initiatives across the credit derivatives space.
- Partner with Technology teams to support trading system migration and development. Provide business domain expertise, guide feature design for analytics, validate numerical outputs, and participate in system testing.
- Build, automate, and maintain centralised databases and daily reporting tools for desk‑level risk scenarios and market data analysis. Ensure data integrity and accessibility for decision‑making.
Requirements
- Advanced degree (PhD, Master’s or equivalent) in a quantitative field such as mathematics, statistics, physics, computer science, or engineering. Relevant academic research experience is a plus.
- Basic understanding of financial markets. Knowledge of fixed income instruments is preferred.
- Solid knowledge of probability, statistics, machine learning, and optimisation.
- Experience coding in Python. Knowledge of KDB and Java is a plus.
- Comfortable working with large and sparse datasets.
- Capable of formulating trading ideas and business requests into well‑defined problems and making incremental steps to implement solutions.
- Experience developing, deploying, and maintaining models in production.
- Ability to communicate complex technical details to a wide range of audiences, including stakeholders, traders, fellow strategists, and model validators.
- Self‑motivation, rigour, and tenacity.
Certified Persons Regulatory Requirements
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.
Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.
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.
#J-18808-Ljbffr”, “datePosted”: “2026-04-28”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Morgan Stanley”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__416680355__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=33” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }About Morgan Stanley
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services.
Location / Role
LondonAssociate to VP
Role Overview
We are seeking a highly motivated and technically proficient Quantitative Strategist at the Associate/VP level to join our front‑office team supporting the Credit Derivatives Trading Desk. This role offers a unique opportunity to work directly with traders and sales professionals on a wide range of credit products, including Single Name CDS, Credit Indices, Index Options, Index Tranches, and Total Return Swaps (TRS). The strategist will play a critical role in enhancing pricing accuracy, managing risk, improving liquidity insights, and driving revenue growth through data‑driven strategies and analytics.
Responsibilities
- Collaborate closely with traders and sales teams to support daily business activities. Respond to desk inquiries with timely and accurate analysis, contributing to trade idea generation and execution. Analyse, report, and monitor the performance of business and resource allocations, providing actionable insights and recommendations to senior management.
- Design and implement relative value models and analytical tools to support trading decisions, risk management, P&L attribution, product pricing, and strategic market analysis. Stay abreast of regulatory changes and industry trends to ensure competitive positioning.
- Leverage quantitative insights to monetise trading flows, identify revenue opportunities, and support business expansion initiatives across the credit derivatives space.
- Partner with Technology teams to support trading system migration and development. Provide business domain expertise, guide feature design for analytics, validate numerical outputs, and participate in system testing.
- Build, automate, and maintain centralised databases and daily reporting tools for desk‑level risk scenarios and market data analysis. Ensure data integrity and accessibility for decision‑making.
Requirements
- Advanced degree (PhD, Master’s or equivalent) in a quantitative field such as mathematics, statistics, physics, computer science, or engineering. Relevant academic research experience is a plus.
- Basic understanding of financial markets. Knowledge of fixed income instruments is preferred.
- Solid knowledge of probability, statistics, machine learning, and optimisation.
- Experience coding in Python. Knowledge of KDB and Java is a plus.
- Comfortable working with large and sparse datasets.
- Capable of formulating trading ideas and business requests into well‑defined problems and making incremental steps to implement solutions.
- Experience developing, deploying, and maintaining models in production.
- Ability to communicate complex technical details to a wide range of audiences, including stakeholders, traders, fellow strategists, and model validators.
- Self‑motivation, rigour, and tenacity.
Certified Persons Regulatory Requirements
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.
Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.
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.
#J-18808-Ljbffr…