As the Quantitative Research Team Lead at Apexver, the successful candidate will lead a dedicated team of quantitative researchers focused on the development of trading strategies and the enhancement of alpha models. This role requires an integration of hands-on research skills and strategic leadership to drive the firm's research roadmap and to collaborate with traders, engineers, and data scientists in a remote working environment.
Key Responsibilities
Leadership & Strategy
The chosen candidate will be responsible for:
Leading, mentoring, and expanding a team of quantitative researchers.
Aligning the research priorities with the overall trading and technology strategy. This will involve ensuring that the results delivered yield measurable alpha.
Establishing and enforcing best practices in model development, testing, and deployment to ensure high-quality outcomes.
Research & Innovation
Responsibilities will also encompass:
The development and refinement of alpha models, and systematic trading strategies, as well as statistical arbitrage signals.
Engaging with large datasets to identify significant patterns, anomalies, and predictive signals which can enhance trading strategies.
Collaborating with software engineers to translate research findings into robust, production-ready systems that can be integrated into the trading environment.
Collaboration & Execution
Effective collaboration with various teams is essential, including:
Working closely with traders and risk managers to incorporate models into trading execution pipelines.
Partnering with infrastructure teams to enhance simulation environments, backtesting frameworks, and data feeds to optimize performance.
Balancing both short-term and long-term research initiatives to ensure ongoing innovation and performance improvements.
Qualifications Required
The ideal candidate will have:
7+ years of experience in quantitative research or systematic trading, including 2+ years in a leadership role.
An advanced degree, preferably a PhD in Mathematics, Physics, Computer Science, Statistics, or a related discipline; a Master's degree will also be considered acceptable.
Extensive experience with time-series analysis, machine learning methods, probability, and statistics.
Proficiency in Python for research applications, with some familiarity in C++ for aligning research with production systems.
A proven track record of successfully delivering profitable trading strategies or alpha models.
Strong leadership and communication skills to manage cross-disciplinary teams effectively.
Nice to Have Skills
While not mandatory, having experience in the following areas could be advantageous:
Background in high-frequency trading (HFT) or market-making, which indicates a nuanced understanding of rapid trading environments.
Knowledge of market microstructure, execution algorithms, or exchange connectivity that could enhance the firm's trading capabilities.
Experience in managing petabyte-scale datasets and in working with distributed research pipelines, indicative of proficiency with large data systems.
Familiarity with risk management frameworks and the principles of capital allocation could also support effective decision-making.
Compensation
Apexver offers a competitive compensation package, including:
A base salary of €180,000 per year.
A performance bonus that can go up to 100%, providing substantial earning potential depending on the success of the individual and the firm.
Why Join Apexver?
Apexver promotes an attractive work culture characterized by:
The opportunity to make a significant impact on the research direction and trading strategies of a fast-growing proprietary trading firm.
Collaboration with elite engineers and traders on important projects that address high-stakes challenges in trading.
A culture of innovation that encourages quick testing and deployment of ideas in production.
A flat, collaborative, and meritocratic environment where the best ideas are valued and prioritized.
Application Process
If you have a passion for leading a world-class research team, enjoy tackling challenges where insights and timings impact significantly, and are eager to contribute toward the future of Apexver’s trading strategies, then Apexver is interested in your application. Interested candidates can refer to their website to apply. In summary, this position represents a significant opportunity for an accomplished researcher ready to lead and innovate in the fast-paced world of quantitative trading.
This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.
