At a Glance
- Tasks: Monetise trading strategies and collaborate on cutting-edge research and technology.
- Company: DeepFin, a pioneering firm at the intersection of AI and finance.
- Benefits: Dynamic work environment with opportunities for innovation and impact.
- Other info: Fast-paced, collaborative culture where your ideas can make a difference.
- Why this job: Join a high-performing team and shape the future of trading technology.
- Qualifications: 5+ years in HFT or low-latency trading with strong quantitative skills.
The predicted salary is between 80000 - 120000 € per year.
DeepFin is a systematic proprietary trading firm combining deep learning, traditional quantitative research methods, and cutting‑edge trading technology, to trade global markets. Founded by engineers and researchers, we build and deploy advanced trading systems that operate across global markets. Our team is lean, highly technical, and impact‑driven - every hire plays a direct role in shaping the firm’s technology, strategy, and performance. We value curiosity, precision, and collaboration, and we’re building an environment where exceptional people can do their best work at the intersection of AI and financial markets.
The Role
We are looking for exceptional HFT Quantitative Researchers and Traders to work at the intersection of research, engineering, low‑latency execution, creating alpha and monetising our deep‑learning alpha across a broad spectrum of markets, products, and asset classes.
Key Responsibilities
- Monetise core alpha through efficient execution strategies across futures and related products.
- Expand trading universes - identify and onboard new instruments within existing markets and work closely with BD to identify new opportunities and exchanges.
- Develop and refine execution logic - optimise market access, routing, and order placement to minimise slippage and latency impact.
- Collaborate closely with researchers, developers, and infrastructure engineers to bring models from research to production.
- Design and test short‑term signals and execution algorithms to preserve alpha and reduce transaction costs.
- Monitor live strategies, diagnose performance drift, and implement continual improvements.
- Conduct PnL attribution and microstructure analysis to measure and enhance monetisation efficiency.
- Stay ahead of exchange microstructure changes and proactively adapt strategies to evolving market dynamics and impact dynamics.
Ideal Candidate Profile
- 5+ years of experience in HFT or ultra‑low‑latency trading, ideally within futures markets (options experience is a strong plus).
- Proven track record in execution alpha monetisation - not just signal generation - you’ve taken models from idea to production.
- Deep understanding of L3 data, market microstructure, order book dynamics, and short‑horizon predictive models.
- Hands‑on experience in strategy deployment and productionisation, including calibration, risk controls, and post‑trade analytics.
- Strong quantitative and programming skills - Python and C++ preferred; familiarity with distributed and low‑latency systems advantageous.
- Knowledge of cross‑exchange arbitrage, market making, or execution cost optimisation a plus.
- Highly analytical, commercial mindset with the ability to operate autonomously in a fast‑paced, research‑driven environment.
If you’re passionate about applying advanced technology to real‑world markets and want to work alongside a focused, high‑performing team, we’d love to hear from you. DeepFin offers a collaborative, research‑driven environment where ideas move quickly from concept to execution and where every contribution has visible impact. Join us in building the next generation of deep‑learning‑driven trading systems - shaping the future of finance through innovation, rigour, and technology.
HFT Quantitative Research and Trading in London employer: DeepFin Research
DeepFin is an exceptional employer that fosters a collaborative and innovative work culture, where every team member's contributions directly influence the firm's technology and trading strategies. Located in a dynamic financial hub, we offer our employees unparalleled opportunities for growth and development in the fast-paced world of high-frequency trading, supported by cutting-edge technology and a focus on deep learning. Join us to be part of a lean, impact-driven team that values curiosity and precision, and where your expertise can truly shape the future of finance.
StudySmarter Expert Advice🤫
We think this is how you could land HFT Quantitative Research and Trading in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to quantitative research and trading. This gives potential employers a taste of what you can do and how you think.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing coding challenges and discussing your past experiences in detail, especially those that highlight your execution strategies and market insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team at DeepFin.
We think you need these skills to ace HFT Quantitative Research and Trading in London
Some tips for your application 🫡
Show Your Passion for Trading:When writing your application, let your enthusiasm for trading and technology shine through. We want to see that you’re not just looking for a job, but that you’re genuinely excited about the intersection of AI and financial markets.
Highlight Relevant Experience:Make sure to detail your experience in HFT or ultra-low-latency trading. We’re looking for candidates who have a proven track record in execution alpha monetisation, so don’t hold back on showcasing your achievements and skills!
Be Precise and Clear:In our world, precision is key. Keep your application clear and concise, avoiding jargon unless it’s relevant. We appreciate straightforward communication that gets to the point while still reflecting your technical expertise.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re proactive and keen to join our team!
How to prepare for a job interview at DeepFin Research
✨Know Your Stuff
Make sure you brush up on your knowledge of HFT, market microstructure, and execution strategies. Be ready to discuss your past experiences in detail, especially how you've taken models from idea to production. This is your chance to showcase your expertise!
✨Showcase Your Technical Skills
Since the role requires strong programming skills, be prepared to demonstrate your proficiency in Python and C++. You might even be asked to solve a coding problem on the spot, so practice common algorithms and data structures beforehand.
✨Collaborate and Communicate
DeepFin values collaboration, so be ready to discuss how you've worked with researchers, developers, and engineers in the past. Share examples of how you’ve contributed to team projects and how you handle feedback and differing opinions.
✨Stay Ahead of the Game
Familiarise yourself with current trends in trading technology and AI applications in finance. Being able to discuss recent developments or changes in market dynamics will show that you're proactive and genuinely interested in the field.
