About the Company:
We’re partnering with a technology-first hedge fund where technology is the core of the business.
The company’s key assets include:
• Trading infrastructure for both crypto and traditional markets
• AI models and research pipelinesused directly in trading decision-making
• Next-generation computing systems, including experiments with novel hardware and performance-critical software
The fund builds trading systems at the intersection of financial markets, AI, and frontier technologies. It operates its own AI research lab, has stable long-term funding, and access to experimental hardware.
Unlike traditional hedge funds, researchers have direct influence on both research methodology and production systems.
The company’s key assets include:
• Trading infrastructure for both crypto and traditional markets
• AI models and research pipelinesused directly in trading decision-making
• Next-generation computing systems, including experiments with novel hardware and performance-critical software
The fund builds trading systems at the intersection of financial markets, AI, and frontier technologies. It operates its own AI research lab, has stable long-term funding, and access to experimental hardware.
Unlike traditional hedge funds, researchers have direct influence on both research methodology and production systems.
What you’ll do:
Strategy Research & Portfolio Development:
- Lead research and development of systematic mid-frequency strategies across equities, futures, ETFs, options, and FX, taking alpha ideas from generation and validation through to design of predictive signals, portfolio construction models, and execution logic;
- Improve existing strategies through live performance analysis, optimizing capacity, turnover, transaction costs, and risk-adjusted returns, and evaluate new and alternative datasets.
Portfolio Construction & Risk:
- Build portfolio optimization and capital allocation frameworks, robust risk models, and exposure controls, analyzing factor exposures, drawdowns, turnover, and capacity;
- Improve execution quality through transaction cost analysis, slippage and market impact modeling, and build monitoring metrics for production strategies.
Research Leadership:
- Lead and mentor researchers, participate in hiring, and build a high-performance culture grounded in scientific rigor;
- Establish research standards, validation procedures, and experiment methodology, reviewing proposals and challenging assumptions.
Production & Collaboration:
- Partner with engineers to deploy research into production, defining requirements for infrastructure, data pipelines, and simulation frameworks, and improve backtesting so trading costs and exchange behavior are realistic;
- Monitor live strategies, drive continuous improvements, and contribute to the long-term research and technology roadmap.
You would be a great fit if you have:
- Experience in quantitative research for systematic trading;
- Proven track record of developing profitable mid-frequency trading strategies from idea to production;
- Experience with traditional financial markets such as equities, futures, options or FX;
- Great understanding of market microstructure, statistical modeling, time-series analysis, portfolio optimization, execution algorithms, transaction cost modeling;
- Excellent Python programming skills;
- Experience working with large market datasets;
- Mathematical background in probability, statistics and optimization;
- Experience mentoring researchers or leading research projects.
Candidates may also have experience with:
- C++ engineering;
- Machine learning applied to alpha generation;
- Alternative data research;
- Reinforcement learning;
- GPU computing;
- Experience building research platforms or backtesting infrastructure;
- Experience managing production systematic portfolios.
Location & Format:
- Hybrid work format in Amsterdam;
- Full relocation support is provided.
What makes this opportunity different:
- Work at the intersection of trading, AI, and frontier technologies;
- Opportunity to build systems from scratch;
- Access to an in-house AI research lab;
- Use of modern and experimental hardware.
Send your CV on Telegram @dariiyah