Senior HFT Quant Trader/Researcher - Digital Assets

Keyrock was founded in 2017 and has quickly grown from 3 to over 170 people today. As an industry recognized liquidity provider and market maker, Keyrock is a leading European creator of algorithmic trading technologies in the digital asset space. With VC backing including Series B investment from Ripple, a constantly expanding global client base, Keyrock is one of Belgium’s fastest-growing fintech companies.

We’re currently active on over 80 exchanges and count numerous marketplaces and asset issuers among our clients, including some of the best-known companies in the digital assets space. 

Keyrock's beating heart is its technical team filled with crypto and DeFi natives, software engineers, digital scientists and academics, who themselves are supported by university professors, industry-leading experts and a strong management team. Over the years Keyrock has become a company that is both idealistic and practical.

What we are looking for… a dynamic, driven Senior HFT Quantitative Trader/Researcher to work in collaboration with our engineers, data scientists and quantitative traders. We are currently looking for people with experience developing and running systematic strategies in the HFT space. 

The ideal candidate will be able to analyze existing trading strategies and identify areas of improvement. They will also be able to develop their own trading strategies and take them from hypothesis to production. The candidate must have a strong mathematical background. They must have a good understanding of the engineering problems faced by an HFT business and be able to collaborate with senior developers in overcoming these challenges. 

If the candidate has run systematic strategies in the HFT space they should be able to demonstrate the performance of the strategies.

Job Description

• Building models to create new trading strategies

• Structuring and implementing algorithmic trading strategies

• Backtesting algorithmic trading strategies

• Software development and implementation

• Monitoring market performance

• Market analysis

Competencies, skills and experience

As a quantitative trading researcher, you have strong analytical capabilities and are fully comfortable with financial markets and trading algorithms in order books. You have:

• Understanding of digital assets.

• Understanding of financial market micro structures.

• Strong attention to detail

• Good communicator

• Programming skills in Python

• Prior experience in building or researching trading algorithms

• A background or substantial experience in a STEM subject.

• Passion for algorithmic trading

• Prior knowledge of market making algorithms is a plus

• The ability to take ownership of a project while collaborating on it with colleagues

• Fluent in English

• Nice to have: Stochastic Calculus, dynamic programming 

• Nice to have (tech): RUST, AWS, R

Our philosophyWe believe the most important aspect of our recruitment process is self-awareness: we are looking for people who have a clear understanding of themselves and what they are looking for in their professional career. That means that we expect to work with people who not only have the right skills, but who have also made the conscious decision to look for a company in our industry and with our characteristics.

Our offer

• A competitive salary package

• Complete autonomy in your time management thanks to flexible working hours and the opportunity to work remotely 

• The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence who all receive stock options from the first year

• A ton of fun in a thriving and multicultural environment, with colleagues enjoying regular team building activities 

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