About the Company:
We’re working 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 company builds trading systems at the intersection of financial markets, AI, and frontier technologies. The fund operates its own AI research lab, has stable long-term funding, and access to experimental hardware. At the current stage, the team is entering a phase where research is being reinforced by engineering and trading, including the development of high-frequency trading (HFT) systems with strict latency and reliability requirements.
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 company builds trading systems at the intersection of financial markets, AI, and frontier technologies. The fund operates its own AI research lab, has stable long-term funding, and access to experimental hardware. At the current stage, the team is entering a phase where research is being reinforced by engineering and trading, including the development of high-frequency trading (HFT) systems with strict latency and reliability requirements.
About the Role:
As Head of Research, you will build companys's research function as a scalable system rather than run it as a single team. The fund’s model relies on small, autonomous research units, and your mandate is to design the system around them: the one that keeps independent teams aligned with company goals and accountable for measurable outcomes. This is a leadership role for someone who combines quantitative research experience, managerial discipline, and organizational design, and who is energized by building a research machine rather than simply leading a group of smart people.
What You'll Do:
- Build the research function as a scalable system, designing the structure that lets small, autonomous research teams operate independently while staying aligned with company goals.
- Define how each team owns its research direction, hypothesis, dataset, or scientific problem, and set clear interfaces between units.
- Establish the standards and processes that govern how ideas are generated, how tasks are selected, and how experiments are designed.
- Create the evaluation frameworks and feedback loops that make research output measurable and comparable across teams.
- Own how research priorities shift over time, including when teams are added, restructured, or wound down.
- Translate successful research into real, measurable impact on the business.
- Combine quantitative research depth, managerial discipline, and organizational design to build a research machine.
You might thrive in this role if you have:
- Proven experience leading quantitative research, trading research, systematic strategy, or data-driven investment teams.
- Deep understanding of trading, alpha research, portfolio construction, execution, risk, market microstructure, and the lifecycle of a trading idea from hypothesis to live deployment.
- Ability to structure autonomous research units, define their ownership areas, set clear interfaces between teams, and create objective ways to evaluate progress and output.
- Excellent managerial skills, including hiring, onboarding, mentoring, performance management, compensation input, and resolving conflicts between teams or priorities.
- Experience setting research priorities at the portfolio level rather than micromanaging individual tasks.
- Ability to design dashboards, metrics, review rituals, and decision-making processes that make research output visible and comparable across teams.
- Excellent communication skills and the ability to create alignment between researchers, engineers, data teams, risk, and senior stakeholders.
Location & Format:
- Base location: Amsterdam / Montreal / Dubai
- Full relocation support provided
Why this role is interesting?
- Long-term 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