Data Analyst / Quant Analyst
About Hash Hedge
Hash Hedge is a global prop trading company that gives traders around the world access to capital and the conditions they need to grow.
Our platform is already used by traders in dozens of countries, and we’re scaling fast — expanding the product and strengthening the team. We’re building an ecosystem where traders can earn and experts can thrive inside a strong, fast-growing, and tech-driven company.
Role Overview
We’re looking for a curious, research-driven data analyst who goes beyond dashboards — someone who can spot trends, detect anomalies, generate hypotheses, and drive product decisions.
We already operate with a high-volume data stream — covering everything from funnel performance to trading metrics. Now we need to structure that data and build a scalable, insight-driven analytics system to support our next phase of growth.
What You’ll Be Doing
- Analyze the full funnel: registration → challenge payment → phase 1/2 → funded → payout
- Detect anomalies in trader behavior: scammers, multi-account users, high-risk profiles
- Build reports on key metrics: CR, ROI, churn, LTV, win rate, payout rate
- Run A/B tests across products, UI, and marketing hypotheses
- Find correlations between challenge type, trader behavior, and outcomes
- Provide ongoing reporting for the risk, marketing, and support teams
What We’re Looking For
- Strong SQL skills; Python or R is a plus
- 2+ years of experience in analytics for digital products or fintech
- Ability to not just visualize data, but clearly explain insights and implications
- Initiative to influence the product — not afraid to propose bold ideas
- Understanding of trading metrics: PnL, drawdown, win rate, RR, and more
- English — good reading and comprehension skills (for documentation, specs, etc.)
What We Offer
- Remote work with flexible hours
- A live product with full access to data — and your insights will matter
- Minimal bureaucracy, fast decision-making
- Opportunities to grow into Head of Analytics
- A chance to build the analytics foundation of a global trading platform