Quantitative Trading and Research - Credit - Vice President

Job Description

We are seeking a highly skilled and motivated Vice President to join our Credit Quantitative Trading and Research team, specifically within the Cash Credit team. This is a unique opportunity to work with Investment Grade (IG) and High Yield (HY) corporate bonds, bond portfolios, and fixed income ETFs globally. You will be involved in comprehensive analytics, models, and tools used in various trading activities, including High-Touch and Low-Touch (Algo/Systematic) bond market making, bond portfolios tailored for client customizations, and Fixed-Income ETFs primary and secondary trading.

As a Vice President on our Credit Quantitative Trading and Research team, you will have the opportunity to collaborate with cross-functional teams, leveraging AI/ML to enhance our trading strategies and decision-making processes. You will explore and integrate various AI/ML methodologies into our modeling approach. This involves a scientific exploration of innovative techniques, with a focus on developing and deploying proven results in a production setting end-to-end.

You need to be a forward-thinking individual who can bridge the gap between cutting‑edge research and practical application, ensuring that AI/ML models are robust, scalable, and aligned with business objectives. This is an exciting role for those who appreciate how every part of the business connects well together and are eager to contribute to the evolution of our quantitative research capabilities.

• Develop and enhance quantitative models and analytics for corporate bonds, bond portfolios, and fixed income ETFs.
• Collaborate with market makers, traders, and other stakeholders to support trading activities and strategies.
• Analyze market trends and large datasets, translating them into actionable insights using various methodologies relevant to the projects.
• Design and implement tools and systems end-to-end, ensuring that models and analytics comply with industry best practices.
• Foster a deep understanding of how different parts of the business connect and contribute to the overall success of both the individual and the team.
• Drive projects with a keen eye from a quantitative research perspective, ensuring they progress in the right direction for long-term success.

• A post‑graduate degree in a STEM discipline (e.g., Mathematics, Physics, Engineering, Computer Science) with hands on experience in statistical modeling.
• Minimum 3 to 5 years of experience in a quantitative research or related role within the financial industry.
• Strong knowledge of corporate credit, fixed income markets, and ETFs.
• Excellent analytical skills with a keen attention to detail and a systematic approach to problem‑solving, with a willingness to explore new ideas.
• Ability to work collaboratively in a fast‑paced, dynamic environment, while also demonstrating independent thinking and exceptional organizational capabilities.
• Strong communication skills to effectively convey complex concepts to non‑technical stakeholders.

• Expertise in time series data modeling, with the ability to experiment with and apply various modeling techniques to enhance predictive accuracy and insights.
• Advanced proficiency in programming languages such as Python, or Java, enabling the development and implementation in libraries, micro‑services, and systems.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility.

These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and…