Quantitative Researcher - HFT Digital Assets

Background
We are Fourstroke – an Amsterdam-based algorithmic trading firm. Our goal is to capture market–making and arbitrage opportunities across a wide variety of digital assets and exchanges. Our trading infrastructure is fully automated and runs 24/7, making thousands of trades every day across hundreds of order books.
Fourstroke started in November 2021. Over the past four years, we've built, and continuously improved our trading infrastructure and algorithms. Today, we have developed ultra-fast, low-latency infrastructure and have a leading position at a handful of exchanges. We are at a very exciting point where we are scaling our trading operations to new exchanges and growing fast in our AUM and revenue. Having achieved excellence in speed, our next phase of growth focuses on maturing our trading strategies to become smarter and more sophisticated.
Your opportunity
This is your opportunity to join an agile, fast-moving and entrepreneurial crypto trading firm that's got a proven track record. You'll be one of a core team gaining significant traction in our field.
In this role, you'll have the opportunity to enhance and sophisticate our existing trading strategies through advanced quantitative research and data-driven insights. While we have a solid core strategy foundation, there's tremendous scope for you to bring fresh ideas, implement new methodologies, and drive the evolution of our approaches. Through this, you'll have significant influence and impact on the company's trading performance and strategic direction.
Responsibilities

• Conduct research on trading problems with a practical and solution-driven mindset.
• Explore new trading opportunities and build back-testing tools.
• Test your ideas using high-volume market data. 
• Collaborate with the engineers to implement strategies in production.
• Monitor implemented strategies, tweak configuration and provide support when needed.

Profile

• 2+ years in a quantitative research role (prop trading, market making, HFT, or similar), preferably in crypto.
• BSc/MSc/PhD in a quantitative field (Math, Physics, Econometrics, Computer Science Operations Research, etc.).
• Solid understanding of financial markets, market microstructure, and trading concepts.
• Proficient in Python and managing large datasets (SQL and data pipelines), familiarity with Rust is a plus.
• Ability to work independently and drive research projects from conception to implementation.
• Enjoy working with a small and dedicated team.
• Interested in and curious about trading and digital assets.

What we offer

• A collaborative and energetic work environment.
• Opportunity to become a key team member of an early-stage trading firm. 
• A competitive base salary and a very attractive bonus scheme based on company and individual performance.
• Flexible working: work up to 2 days a week from home.
• A trendy office in East Amsterdam with our own espresso bar. 
• Free lunch at the office.
• A 14/16-inch MacBook Pro and a headset of your choice.
• 28 paid holidays.
• 1st Class train subscription for your commute to the office.
• Visa sponsorship, if needed.
• We like to have a bit of fun along the way as well. So there will be after work drinks and team lunches from time to time. We also join network events and conferences to keep ourselves sharp and up to speed on the industry.

How to apply

• Write a brief paragraph about yourself and why you are enthusiastic about this role
• Send it, along with an up-to-date resume, to drenit@techrise.nl (our recruitment agency)