Senior Quantitative Researcher - Digital Assets

JR United Kingdom; Slough; Hybrid; GBP 80,000 - 120,000; Full time

Job summary

A leading high-frequency cryptocurrency market maker is seeking a Senior Quantitative Researcher to enhance their trading strategies. This role involves developing models, collaborating with a team, and utilizing data analytics to drive profitability in cryptocurrency trading.

Benefits

Relocation package

Work visa sponsorship

Performance bonuses paid biannually

Opportunity to invest in a multi-strategy fund

Qualifications

• 3+ years of quantitative experience in HFT or MFT.
• Deep understanding of probability, statistics, data modeling, and scientific thinking.
• Coding skills in Python, including experience with tools like Jupyter Notebooks.

Responsibilities

• Expand on existing research ideas and create new trading strategies.
• Develop and test models using Python and statistical analysis.
• Monitor and analyze trading algorithms' performance.

Skills

Mathematical modelling

Data analytics

Probability

Statistics

Scientific thinking

Communication skills

Team collaboration

Tools

Python

Jupyter Notebooks

Job description

Senior Quantitative Researcher - Digital Assets

Preferred Location: Bratislava (Slovakia)

Company is open to 1-2 weeks onsite per month

I'm looking for experienced Quantitative Researchers interested in joining a leading high-frequency cryptocurrency market maker based in Bratislava. The company will provide sponsorship, a work visa, and a relocation package.

About the company

My client is a leading high-frequency cryptocurrency market maker. They use advanced algorithms to trade digital assets globally, providing liquidity across multiple exchanges and trading venues. The company positions itself as a quantitative trading firm that operates at the intersection of cutting-edge technology and financial markets, focusing exclusively on cryptocurrency assets.

About the position

They're seeking Quantitative Researchers with HFT experience who are interested in joining the fast-paced world of cryptocurrency trading.

In this role, you will leverage advanced data analytics, mathematical modelling, and strategic thinking to derive actionable insights and refine trading algorithms. Your work will have a direct impact on profitability and help shape the future of crypto trading.

What you’ll do

• Expand on the existing pool of research ideas and create your own, including modest improvements or entirely new strategies. Lead the research direction based on your experience.
• Collaborate with a team of researchers to explore data from cryptocurrency exchanges, identify patterns, and formulate hypotheses for new trading strategies.
• Develop and test models using Python, leveraging statistical analysis and probabilistic thinking.
• Work independently or in pairs on research topics, engaging in daily discussions to challenge and refine ideas.
• Monitor and analyze the performance of trading algorithms, visualize data, and identify areas for improvement.
• Communicate findings and strategies to relevant teams to enhance the trading platform.

Must have the following

• 3+ years of quantitative experience in HFT or MFT.
• Deep understanding of probability, statistics, data modeling, and scientific thinking.
• Coding skills in Python, including experience with tools like Jupyter Notebooks.
• Excellent communication skills for articulating ideas and engaging in team discussions.
• Humility and a collaborative mindset, willing to challenge and refine ideas.

Compensation (Salary, Bonus, Equity & Fund Investment)

• Salary and bonuses: Total compensation includes a fixed salary and performance bonuses paid biannually.
• Bonuses: Performance bonuses are paid every 6 months, with an expected profit share of around 15%, potentially resulting in a bonus of approximately 1.5M.
• Equity: Option to allocate part of your salary toward equity in the company.
• Fund investment: Opportunity to invest in their flagship multi-strategy fund, which has achieved over 50% net annualized returns since inception.