Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation.
Today, we rock with over 170 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels and Singapore, and host regular online and offline hangouts to keep the crew tight.
We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks.
But we're more than a service provider. We're an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives.
At Keyrock, we're not just envisioning the future of digital assets. We're actively building it.
Mission statementWhat 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
Background 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, either professional or personal interest.
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 recruitment philosophy
We value self-awareness in our recruitment process. We seek people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who's driven, collaborative, and delivers solid, scalable outcomes.
Our offer
A competitive salary package, with various benefits depending on the method of engagement (employee or freelancer).
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
As an employer we are committed to build an inclusive, diverse and non-discriminating work environment. We welcome employees of all backgrounds, ethnicities, genders, creed and sexual orientation. We hire, reward and promote entirely based on merit and performance.
Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock.
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