At a Glance
- Tasks: Develop Python libraries, analyse trade data, and optimise market-making strategies.
- Company: Keyrock, a leading digital asset market maker with a tech-first approach.
- Benefits: Paid internship, hybrid work, global team events, and impactful contributions from day one.
- Other info: Fast-paced environment with opportunities for growth and collaboration.
- Why this job: Join a dynamic team shaping the future of digital assets and gain hands-on experience.
- Qualifications: Recent graduate in quantitative fields with Python and SQL skills; DeFi knowledge is a plus.
The predicted salary is between 20000 - 30000 £ per year.
About Keyrock Founded in 2017, Keyrock is a leading digital asset market maker with 200+ team members globally, representing 42 nationalities. We trade across more than 80 exchanges and run desks in market making, options, OTC and DeFi. We're known for our tech-first approach, Rust-based trading systems and for actively shaping the future of digital asset markets. At Keyrock, we're not just envisioning the future of digital assets. We're actively building it.
The Role We are looking for a high-caliber Quantitative Analyst Intern to sit within our Strategic Market Making team. In our Strategic Proprietary Market Making team, we deploy capital across CEXs and DEXs to capture structural, incentive-driven and exotic market opportunities. Strategic Market Making operates at the frontier of digital asset markets—identifying and executing on opportunities that emerge from new token launches, foundation mandates, liquidity programs, incentive distortions and evolving market microstructure. Unlike traditional service market making desks, this team is unencumbered by SLA obligations and is purpose-built to move quickly, iterate strategies and allocate capital dynamically where risk-adjusted returns are most compelling. You will also support our ongoing expansion into the Perpetual DEX ecosystem, bridging the gap between TradFi rigor and DeFi innovation.
Key Responsibilities
- Scalable Quant Infrastructure: Assist in the development of modular Python-based libraries (utilizing Pandas, NumPy, and Polars) to standardize performance metrics and unify global trading data.
- Strategy Forensics: Perform deep-dive statistical analysis on trade-level data to decompose PnL drivers, isolate alpha decay, and identify execution drag or 'toxic flow.'
- Perp DEX Optimization: Analyze the incentive structures and market-making programs of leading protocols (e.g., Hyperliquid/HIP-3, Paradex, Lighter). You will help optimize our participation to maximize protocol rewards and capital efficiency.
- Operational Intelligence: Build and maintain automated workflows that convert raw L1/L2 order book data into actionable insights for the Trading and Investment Committees.
- Market Monitoring: Proactively track market microstructure signals and portfolio exposures to highlight emerging risks and identify underutilized liquidity opportunities.
Who You Are Recent or upcoming graduate from a top university in financial engineering, mathematics, physics, computer science, or a related quantitative field. Technical Proficiency: You have a solid foundation in Python (specifically for data science) and SQL. Exposure to Rust or a strong desire to learn it is highly valued. Mathematical Rigor: Strong academic background in a quantitative field (Math, Physics, CS, or Financial Engineering). You are comfortable with probability, statistics, and linear algebra applied to real-world trading. 'Skin in the Game': You aren't just a theorist. You have a track record of running automated or semi-automated strategies—be it funding arbitrage, cash & carry, or delta-neutral market-making. Domain Expertise: You have a working knowledge of traditional equity market structure but are a 'DeFi native' at heart, with an understanding of Perpetual DEX dynamics and on-chain mechanics. High-Stakes Agility: You thrive in fast-paced environments, can manage multiple workstreams, and have the 'owner mindset' to see projects through to completion. Communication: Fluency in English is a must; the ability to explain complex technical concepts simply is even better.
What We Offer A 6 month paid internship in our vibrant London or Brussels offices with a hybrid set-up. Company and team wide offsites. A global, collaborative and tech-driven environment. Autonomy & Impact—our flat structure means you can contribute your ideas from day one and help shape the foundation that will power Keyrock's future business. Culture of Excellence—we value nimbleness, drive for success, owner mentality and collaboration.
Our Recruitment Philosophy We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate 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, acts with ownership and delivers solid, scalable outcomes. As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and 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.
Quantitative Analyst Intern in London employer: Unchain Data
Keyrock is an exceptional employer, offering a dynamic and collaborative work environment in the heart of London or Brussels. As a Quantitative Analyst Intern, you will benefit from a paid internship that fosters autonomy and impact, allowing you to contribute your ideas from day one while working alongside a diverse team of passionate professionals. With a strong emphasis on employee growth and a culture of excellence, Keyrock empowers you to thrive in the fast-paced world of digital assets, making it an ideal place for those eager to shape the future of finance.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Analyst Intern in London
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Quantitative Analyst Intern in London
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Unchain Data will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Unchain Data
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Unchain Data.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Unchain Data that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
