• 7+ years of industry experience and an advanced degree, such as a PhD or MS, in a quantitative field such as Statistics, Engineering, Sciences, Computer Science or Economics.
• Significant experience applying statistics, machine learning or optimisation to financial markets, trading, fintech or other dynamic decision systems.
• Strong understanding of FX, execution, pricing, liquidity, market risk or related quantitative domains.
• Expert Python skills and strong SQL skills; experience with R or other quantitative tools is a plus.
• Strong foundations in time-series modelling, statistical inference, optimisation and experimental design.
• Ability to do schema design and dimensional data modelling, taking models from research/prototyping into reliable production systems.
• Proven ability to set direction, influence and communicate with senior stakeholders and deliver through cross-functional teams.
• Experience in technology, financial services, a trading environment and/or a high-growth environment.
• YOU'LL THRIVE HERE IF
• You're comfortable owning the roadmap yourself.
• You're comfortable making decisions with incomplete information and moving quickly anyway.
• You connect dots across functions and hold the big picture without losing grip on the details.
• You simplify complexity rather than hiding behind it.
• You can advocate hard for a position, then fully support the team's direction once a call is made.