Quantitative Research Leadership in Trading Strategy

last updated October 25, 2025 0:26 UTC

Apexver

HQ: Cayman

  • OFF: Anywhere in the World
  • Full-Time
  • Full-Stack Programming

Location: Remote
Compensation: €180,000 base salary per year, with potential performance bonus up to 100%
Team: Quantitative Research & Trading Strategy

Role Summary
As the Quantitative Research Team Lead, you will manage a team of quantitative researchers focused on building trading strategies, enhancing alpha models, and improving execution. This is a dual role involving both hands-on research and strategic leadership. You will guide model development, oversee research workflows, mentor team members, and help define Apexver’s research direction.

You’ll collaborate closely with traders, engineers, and data scientists to advance capabilities in high-frequency and systematic trading.

Key Responsibilities

Leadership & Strategy
– Lead, mentor, and expand a team of quantitative researchers
– Set research priorities aligned with trading and technology goals, ensuring measurable alpha generation
– Promote best practices in model development, testing, and deployment

Research & Innovation
– Design and improve alpha models, statistical arbitrage signals, and systematic strategies
– Analyze large datasets to uncover patterns, anomalies, and predictive indicators
– Work with engineers to implement research into reliable, production-ready systems

Collaboration & Execution
– Partner with traders and risk managers to integrate models into trading workflows
– Coordinate with infrastructure teams to enhance simulations, backtesting tools, and data pipelines
– Balance immediate trading opportunities with long-term research projects

Qualifications

Required:
– 7+ years of experience in quantitative research or systematic trading, including 2+ years in a leadership role
– Advanced degree (PhD preferred, MSc acceptable) in Mathematics, Physics, Computer Science, Statistics, or a related quantitative field
– Strong background in time-series analysis, probability, statistics, and machine learning
– Proficient in Python for research; familiarity with C++ for production integration
– Demonstrated success in developing profitable trading strategies or alpha models
– Excellent leadership and communication skills, with the ability to coordinate cross-functional teams

Preferred:
– Experience in high-frequency trading (HFT) or market making
– Expertise in market microstructure, execution algorithms, or exchange connectivity
– Familiarity with managing large-scale datasets and distributed research systems
– Understanding of risk management and capital allocation frameworks

Why Work at Apexver?
– Competitive compensation: €180k base + up to 100% bonus
– High impact: Influence the research strategy of a rapidly growing proprietary trading firm
– Collaborative environment: Work with top-tier engineers and traders on complex problems
– Innovation-driven: Freedom to experiment, deploy, and iterate quickly
– Culture: Flat, collaborative, and merit-based—where the best ideas win

Application
If you’re passionate about leading a top-tier research team, thrive on solving high-stakes problems, and want to shape the future of Apexver’s trading strategies, we’d love to hear from you.

Apply info ->

To apply for this job, please visit www.apexver.com