We are working with an Amsterdam-based algorithmic trading firm. Their goal is to capture market making and arbitrage opportunities across a wide variety of digital assets and exchanges. Their trading infrastructure is fully automated and runs 24/7, making thousands of trades every day across hundreds of order books.
Over the past four years, our client has built, and continuously improved their trading infrastructure and algorithms. Today, they have developed ultra-fast, low-latency infrastructure and have a leading position at a handful of exchanges. They are at a very exciting point where they are scaling their trading operations to new exchanges and growing fast in their AUM and revenue. Having achieved excellence in speed, their next phase of growth focuses on maturing their 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 they 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 algorithms 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 they 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.
● They 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. They also join network events and conferences to keep themselves sharp and up to speed on the industry.
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