Trading Strategy Lead

About the role

We are hiring a Trading Strategy Lead to help build and scale our proprietary systematic trading businesses across different geographies. This is a unique opportunity to operate at the intersection of quant research, technology, and strategy, with a clear path toward P&L ownership and leadership.

You’ll work directly with quants, technologists, and firm leadership to drive new business lines from inception to scale. Your success will come from a rare blend of analytical depth and business drive: you can challenge a model, understand execution logic, and still push the team to move faster, hire smarter, and commercialize better.

Location

London, UK or Yerevan (Hybrid, with 3 days in-office requirement)

Responsibilities

• Lead cross-functional buildout of new trading verticals
• Align quant and tech teams toward clear commercial objectives
• Analyze research output, infrastructure bottlenecks, and capital deployment decisions
• Own the roadmap for execution, hiring, and scale-up the business
• Partner with the CEO/CIO and senior leadership to define and launch new initiatives
• Track performance metrics and identify levers to improve strategy ROI
• Develop toward full ownership of a trading business (GM/Desk Head track)
  
  

Who You Are

• 4-6 years of experience at a top-tier consulting firm (McKinsey, BCG, Bain)
• Degree in physics, mathematics, computer science, engineering, or a similarly rigorous technical field (undergrad or grad level)
• Able to understand and challenge quant research, infrastructure design, and execution logic
• Commercially minded fluent in tradeoffs between model accuracy, latency, and capital efficiency
• Obsessed with clarity and momentum - you simplify, prioritize, and move fast
• Long-term ambition to run a trading business, not just advise or support one
  
  

Why This Role

• Rare opportunity to join a high-performing quant firm in a leadership capacity
• Exposure to both technical alpha creation and commercial strategy
• High-trust, high-autonomy environment