Head of Quant & Risk Analytics

• 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.

Contact: Gavin Teo (Lic No: R1328332 / EA No: 18S9099) Quote job ref: JN-062026-7051479