User Researcher à Grande-Bretagne

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 statement

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

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

• 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.

https://keyrock.com/careers/