Quantitative Research Team Lead (Completed)
Role Overview
As the Quantitative Research Team Lead, you will head a team of quants and researchers dedicated to developing trading strategies, improving alpha models, and optimizing execution. This role is both hands-on research and strategic leadership: you will drive model development, oversee research pipelines, and mentor team members while shaping Apexver’s research roadmap.
You will partner with traders, engineers, and data scientists to push the boundaries of what’s possible in high-frequency and systematic trading.
Key Responsibilities
• Leadership & Strategy
◦ Lead, mentor, and grow a team of quantitative researchers.
◦ Define research priorities, align with trading and technology strategy, and ensure results deliver measurable alpha.
◦ Instill best practices for model development, testing, and deployment.
• Research & Innovation
◦ Develop and refine alpha models, statistical arbitrage signals, and systematic trading strategies.
◦ Explore large-scale datasets to identify patterns, anomalies, and predictive signals.
◦ Partner with engineers to translate research into robust, production-ready systems.
• Collaboration & Execution
◦ Work closely with traders and risk managers to integrate models into execution pipelines.
◦ Collaborate with infrastructure teams to optimize simulation environments, backtesting frameworks, and data feeds.
◦ Balance short-term opportunities with long-term research initiatives.
Qualifications
Required:
• 7+ years of experience in quantitative research / systematic trading, with at least 2+ years in a leadership capacity.
• Advanced degree (PhD strongly preferred, MSc acceptable) in Mathematics, Physics, Computer Science, Statistics, or related quantitative discipline.
• Deep experience with time-series analysis, probability, statistics, and machine learning methods.
• Strong programming skills in Python (for research) and familiarity with C++ (for production alignment).
• Proven track record of delivering profitable trading strategies or alpha models.
• Strong leadership, communication, and ability to align a multi-disciplinary team.
Nice to Have:
• Background in high-frequency trading (HFT) or market-making.
• Expertise in market microstructure, execution algorithms, or exchange connectivity.
• Experience managing petabyte-scale datasets and distributed research pipelines.
• Comfort with risk management frameworks and capital allocation.
Why Join Apexver?
• Compensation & upside: €180k base salary + up to 100% performance bonus.
• Impact: Shape the research direction of a fast-growing proprietary trading firm.
• Collaboration: Work alongside elite engineers and traders on high-stakes challenges.
• Innovation: Freedom to test ideas quickly, deploy models, and iterate in production.
• Culture: Flat, collaborative, and meritocratic environment where best ideas win.
Application
If you are excited to lead a world-class research team, love solving problems where milliseconds and insights matter, and want to directly impact the future of Apexver’s trading business — we’d love to talk to you.
Apply Now
As the Quantitative Research Team Lead, you will head a team of quants and researchers dedicated to developing trading strategies, improving alpha models, and optimizing execution. This role is both hands-on research and strategic leadership: you will drive model development, oversee research pipelines, and mentor team members while shaping Apexver’s research roadmap.
You will partner with traders, engineers, and data scientists to push the boundaries of what’s possible in high-frequency and systematic trading.
Key Responsibilities
• Leadership & Strategy
◦ Lead, mentor, and grow a team of quantitative researchers.
◦ Define research priorities, align with trading and technology strategy, and ensure results deliver measurable alpha.
◦ Instill best practices for model development, testing, and deployment.
• Research & Innovation
◦ Develop and refine alpha models, statistical arbitrage signals, and systematic trading strategies.
◦ Explore large-scale datasets to identify patterns, anomalies, and predictive signals.
◦ Partner with engineers to translate research into robust, production-ready systems.
• Collaboration & Execution
◦ Work closely with traders and risk managers to integrate models into execution pipelines.
◦ Collaborate with infrastructure teams to optimize simulation environments, backtesting frameworks, and data feeds.
◦ Balance short-term opportunities with long-term research initiatives.
Qualifications
Required:
• 7+ years of experience in quantitative research / systematic trading, with at least 2+ years in a leadership capacity.
• Advanced degree (PhD strongly preferred, MSc acceptable) in Mathematics, Physics, Computer Science, Statistics, or related quantitative discipline.
• Deep experience with time-series analysis, probability, statistics, and machine learning methods.
• Strong programming skills in Python (for research) and familiarity with C++ (for production alignment).
• Proven track record of delivering profitable trading strategies or alpha models.
• Strong leadership, communication, and ability to align a multi-disciplinary team.
Nice to Have:
• Background in high-frequency trading (HFT) or market-making.
• Expertise in market microstructure, execution algorithms, or exchange connectivity.
• Experience managing petabyte-scale datasets and distributed research pipelines.
• Comfort with risk management frameworks and capital allocation.
Why Join Apexver?
• Compensation & upside: €180k base salary + up to 100% performance bonus.
• Impact: Shape the research direction of a fast-growing proprietary trading firm.
• Collaboration: Work alongside elite engineers and traders on high-stakes challenges.
• Innovation: Freedom to test ideas quickly, deploy models, and iterate in production.
• Culture: Flat, collaborative, and meritocratic environment where best ideas win.
Application
If you are excited to lead a world-class research team, love solving problems where milliseconds and insights matter, and want to directly impact the future of Apexver’s trading business — we’d love to talk to you.
Apply Now