Credit Strat

is 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.

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://https://www.morganstanley.com/about-us/global-offices into your browser.

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://https://www.morganstanley.com/people-opportunities/eeo .