Referment is working with a financial-markets technology business whose analytics help major institutions identify potentially abusive trading activity. Its approach combines quantitative modelling, large-scale trade-data analysis and practical markets expertise.
This is a customer-facing quantitative development role within a professional services team. You will work with former traders and structurers to understand each institution’s needs, translate its trade data into useful analysis, and build tailored market-surveillance metrics. The position offers a blend of quantitative modelling, hands-on technical delivery and direct stakeholder engagement.
The Role
- Work directly with customers to understand their surveillance requirements and analyse the trade data behind them.
- Design, implement and validate bespoke market-abuse metrics and quantitative models.
- Support proofs of concept and the technical onboarding of new customers.
- Configure systems, run data batches and troubleshoot implementation issues during delivery.
- Use a specialist large-scale data language for pricing, modelling and analytical work.
- Coordinate with engineering, sales and other internal teams to deliver customer work to agreed priorities.
What We're Looking For
- Commercial programming experience with C#, C++, Python or a comparable language.
- Practical financial-markets experience gained in trading, risk, quantitative analysis or a closely related discipline.
- Strong fixed-income knowledge, including an understanding of derivatives.
- A sound grasp of risk sensitivities such as Delta, Gamma and DV01.
- The communication skills to explain complex analysis clearly to both technical and non-technical stakeholders.
- The judgement to prioritise competing customer needs while maintaining accurate delivery.
Desirable Experience
Experience delivering analytics, models or technical implementations directly to financial-institution stakeholders would be particularly useful.
This could suit a quantitative developer, desk quant, risk quant or technically strong markets professional who enjoys combining modelling and code with customer-facing problem solving.
#Referment
