• Build and lead a high-impact quant & risk analytics function
• Market competitive salary with good potential upsides

About Our Client

Our client is a rapidly growing financial markets firm operating across multiple asset classes and regions, with a strong focus on data-driven trading performance and risk management.

With a distributed global footprint and continued expansion into new products, they are investing heavily in advanced analytics, trading infrastructure, and quantitative capabilities to maintain a competitive edge.

Job Description

* Design the team structure and lead 5-10 quant researchers across four domains, and

establish the quantitative and analytics stack as the only source of truth for the firm's

commercial and risk performance.

* Drive product settings optimisation (spreads, fees, promotions); build client segmentation,

LTV and deposit-conversion models; run controlled commercial experiments with

measurable P&L impact.

* Oversee quoting quality, inventory efficiency and capital deployment; develop flow-quality

scoring for institutional counterparties and liquidity partners.

* Own real-time exposure and P&L attribution monitoring; build and govern A/B-book routing

logic, flow-toxicity classification and hedging strategy quantification.

* Lead the analytics layer for bonus abuse, arbitrage abuse, multi-accounting and payment

fraud detection; work alongside the fraud operations team to reduce losses and cut

detection latency.

* Translate analysis into board-ready recommendations; maintain model governance and

analytical independence; lead Stage 2 expansion into additional asset classes.

The Successful Applicant

* 10+ years in quantitative analytics, trading risk or quant research, with a clear leadership

track record

* Prior ownership of an analytics or risk function - models that changed decisions, not just

dashboards

* Deep domain expertise in at least one of: retail FX/multi-asset brokerage, market making /

HFT, or derivatives risk

* Hands-on applied statistics / ML and data engineering: Python, SQL, large real-time datasets

* Demonstrated ability to influence commercial and risk decisions at desk-head and executive

level

* Comfortable operating alongside directional market risk

What's on Offer

This is a rare opportunity to shape a critical analytics function at the heart of a growing trading organisation. The role offers significant influence over commercial and risk strategy, alongside the chance to build a team and infrastructure from the ground up. You will benefit from strong senior leadership exposure, a performance-driven culture, and long-term career progression aligned with the company's expansion across markets and asset classes.