Quantitative Strategist - Credit

Job Summary

We are looking for a quantitative strategist to join our Credit Trading Quant team, which works in the front office, delivering technological solutions for Credit Trading into production.

The team owns the analytics and e-trading roadmap for credit trading in partnership with desk heads, with accountability for prioritisation, delivery, and realised business impact. We develop the foundational platform and analytics that enable performant e-trading for credit flow. We research systematic trading ideas that predict the future of financial markets, applying scientific techniques to find patterns in large, noisy and rapidly changing real-world data sets.

We develop and deploy those ideas into production to positively impact targeted e-trading metrics. The team also provides analytics and tooling to the whole of Credit Trading. Our tools help drive efficiency, increase revenue and make processes more robust. They can be delivered as dashboarding, web apps, scheduled jobs, APIs and more.

• Initiate and develop the analytics and tooling that serves the whole of Credit Trading.
• Partner with front office traders to understand desk requirements and translate them into flexible, production-ready analytical products with rapid turnaround on new modules and configurations.
• Contribute to our capabilities across all components of our e-Trading platform including fair value engines, portfolio and risk management engines, client segmentation and RFQ response.
• Deploy analytical techniques as appropriate ranging from statistical analysis to modern machine learning.
• Take ownership of their projects from inception to final delivery. This will require effective engagement and coordination with many teams including Trading, KDB, QA, Dev Ops, PSS, and the second line.

• Improve Credit Flow trading metrics such as response rates, hit-rates, market share and PnL through the expansion and improvement of our e-Trading platform.
• Improve Credit Trading performance through the delivery of analytics, tools, dashboards and applications that enable enhanced efficiency, revenue and RoRWA.

• Partner with front office traders to understand desk requirements and translate them into flexible, production-ready analytical products with rapid turnaround on new modules and configurations.
• Support business growth by ensuring components of the e-Trading platform are made available to line traders to improve metrics across all of Credit Flow.

• Target best practice in code quality, environment management, and cross-team integration.

• Lead through example and build the appropriate culture and values. Set appropriate tone and expectations amongst colleagues and work in collaboration with risk and control partners.
• Ensure active communication of vision, priorities, and progress to the business to foster engagement, awareness, and motivation.
• Contribute to continuous process improvement and sharing best practice.

• Proactively identify, elevate, and mitigate operational and model risks, including ensuring that analytical tools are appropriately registered as Deterministic Quantitative Methods (DQMs) or models in line with Group standards.
• Apply rigorous testing and quality assurance processes — including UAT cycles and cross-team QA reviews — before deploying models, dashboards and pricing tools to production.

The ideal candidate will bring proven experience in developing quantitative analytics and models within a front office or trading environment
, with strong proficiency in Python and some knowledge of Java
. They will demonstrate the ability to apply statistical and machine learning techniques to large, complex datasets,…