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Role Overview<\/p>\n
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\u2019s research roadmap.<\/p>\n
You will partner with traders, engineers, and data scientists to push the boundaries of what\u2019s possible in high-frequency and systematic trading.<\/p>\n
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Key Responsibilities<\/p>\n
\u00a0 \u00a0 \u2022 Leadership & Strategy<\/p>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u25e6 Lead, mentor, and grow a team of quantitative researchers.<\/p>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u25e6 Define research priorities, align with trading and technology strategy, and ensure results deliver measurable alpha.<\/p>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u25e6 Instill best practices for model development, testing, and deployment.<\/p>\n
\u00a0 \u00a0 \u2022 Research & Innovation<\/p>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u25e6 Develop and refine alpha models, statistical arbitrage signals, and systematic trading strategies.<\/p>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u25e6 Explore large-scale datasets to identify patterns, anomalies, and predictive signals.<\/p>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u25e6 Partner with engineers to translate research into robust, production-ready systems.<\/p>\n
\u00a0 \u00a0 \u2022 Collaboration & Execution<\/p>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u25e6 Work closely with traders and risk managers to integrate models into execution pipelines.<\/p>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u25e6 Collaborate with infrastructure teams to optimize simulation environments, backtesting frameworks, and data feeds.<\/p>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u25e6 Balance short-term opportunities with long-term research initiatives.<\/p>\n
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Qualifications<\/p>\n
Required:<\/p>\n
\u00a0 \u00a0 \u2022 7+ years of experience in quantitative research \/ systematic trading, with at least 2+ years in a leadership capacity.<\/p>\n
\u00a0 \u00a0 \u2022 Advanced degree (PhD strongly preferred, MSc acceptable) in Mathematics, Physics, Computer Science, Statistics, or related quantitative discipline.<\/p>\n
\u00a0 \u00a0 \u2022 Deep experience with time-series analysis, probability, statistics, and machine learning methods.<\/p>\n
\u00a0 \u00a0 \u2022 Strong programming skills in Python (for research) and familiarity with C++ (for production alignment).<\/p>\n
\u00a0 \u00a0 \u2022 Proven track record of delivering profitable trading strategies or alpha models.<\/p>\n
\u00a0 \u00a0 \u2022 Strong leadership, communication, and ability to align a multi-disciplinary team.<\/p>\n
Nice to Have:<\/p>\n
\u00a0 \u00a0 \u2022 Background in high-frequency trading (HFT) or market-making.<\/p>\n
\u00a0 \u00a0 \u2022 Expertise in market microstructure, execution algorithms, or exchange connectivity.<\/p>\n
\u00a0 \u00a0 \u2022 Experience managing petabyte-scale datasets and distributed research pipelines.<\/p>\n
\u00a0 \u00a0 \u2022 Comfort with risk management frameworks and capital allocation.<\/p>\n
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Why Join Apexver?<\/p>\n
\u00a0 \u00a0 \u2022 Compensation & upside: \u20ac180k base salary + up to 100% performance bonus.<\/p>\n
\u00a0 \u00a0 \u2022 Impact: Shape the research direction of a fast-growing proprietary trading firm.<\/p>\n
\u00a0 \u00a0 \u2022 Collaboration: Work alongside elite engineers and traders on high-stakes challenges.<\/p>\n
\u00a0 \u00a0 \u2022 Innovation: Freedom to test ideas quickly, deploy models, and iterate in production.<\/p>\n
\u00a0 \u00a0 \u2022 Culture: Flat, collaborative, and meritocratic environment where best ideas win.<\/p>\n
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Application<\/p>\n
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\u2019s trading business \u2014 we\u2019d love to talk to you.<\/p>\n
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