Quantitative Developer at BlockTech

Amsterdam, North Holland, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

24 Jul, 26

Salary

0.0

Posted On

25 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Python, C++, Rust, Algorithmic trading, Pricing models, Back-testing, Data analysis, Financial markets, Software development, Cryptocurrency, Derivatives, Spot trading, High-volume data, Production implementation, Mathematics, Physics

Industry

Financial Services

Description

Whom are we looking for? BlockTech is a fast-paced algorithmic trading firm facilitating global cryptocurrency derivatives and spot trading while expanding into new markets. As we continue to grow rapidly, we are looking for a Quantitative Developer to join us amid our exciting scale-up phase! What will you do? Design, develop, and improve robust pricing models and software. Explore new trading opportunities and develop back-testing tools. Test new trading ideas or models on high-volume market data and implement them into production. Collaborate directly and constantly with traders and data scientists to evaluate and improve current models. Follow up on implemented features and provide support when problems occur. What is in it for you? A full-time position in a relaxed and modern office in Amsterdam Competitive compensation consisting of a base salary combined with a very attractive bonus plan based on individual and company performance Outstanding performance is rewarded with the opportunity to buy into the trading fund Pension plan, company laptop, and reimbursement of your internet costs at home An extensive in-house training program and an annual learning & development budget The opportunity to work at the forefront of automated trading using state-of-the-art technology, in an environment that embraces AI to both accelerate productivity and advance our systems and models Gym membership reimbursement and the opportunity to engage in various sports during working hours, including kickboxing, CrossFit, fitness, and soccer Regular social events, including weekly Friday drinks, monthly outings, quarterly sports competitions and bi-annual trips abroad Daily breakfast and warm lunch. Additionally, snacks and drinks are provided throughout the day For internationals: All-in relocation package and Dutch classes Our culture At our core, we are a team of passionate trading and tech enthusiasts committed to revolutionizing trading through automation. Our collaborative approach ensures that everyone contributes to achieving our ambitious goals. In this role, you will be both challenged and stretched, with ample opportunities for growth and development, both within and beyond your main responsibilities. We invest in our people by offering competitive compensation and benefits, fostering innovation, and celebrating success. Our commitment to personal development transcends traditional norms; we provide an equal playing field, promote reverse leadership, and offer boundless growth opportunities for all our employees. Join us to unlock your potential and drive innovation in the exciting world of algorithmic trading. An academic degree in Mathematics, Physics, Econometrics, or any other quantitative field, with excellent study results Experience working with Python, C++ and/or Rust Programming experience in Python Proven ability to quickly adapt to new technologies and systems A positive, can-do attitude and a creative mindset A genuine interest in financial markets A long-term commitment to growing with us Fluency in English (written and verbal) Short paragraph: As a Quantitative Developer, you will design and refine advanced pricing models, uncover trading opportunities, and bring innovative strategies to life. Working closely with traders and data scientists, you’ll turn complex ideas into production-ready solutions, driving performance at the forefront of algorithmic and cryptocurrency trading. Location: Amsterdam Department: Trading

Responsibilities

Design, develop, and improve robust pricing models and software while exploring new trading opportunities. Collaborate with traders and data scientists to test strategies on high-volume market data and implement them into production.