# Head of Quant & Risk Analytics

> Fuku · Hong Kong, Hong Kong · Full-time · Posted 2026-07-01

**Workplace:** on_site

## Description

Head of Quant & Risk Analytics  
  
Role Overview:  
\- Build and lead a high-performing middle-office team spanning four domains: commercial analytics, market-making & institutional analytics, trading risk, and fraud & detection.  
\- The team does not own a trading book; instead, it enables every trading desk to perform measurably better.  
\- Responsible for hiring, developing, and retaining the team, owning the firm’s risk and performance infrastructure, and acting as the independent analytical authority to desk heads and senior leadership across a distributed, multi-site organisation.  
  
Key Responsibilities:  
\- Design the team structure and lead 5–10 quant researchers across four domains.  
\- Establish the quantitative and analytics stack as the single 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; collaborate with 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.  
  
Requirements:  
\- 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.  
\- Proficient in English and Chinese.

## Apply

[Apply at Fuku](https://apply.workable.com/fuku/j/6A2142AFE3/apply)

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