At a Glance
- Tasks: Join a small, innovative team to develop ML-driven strategies for global equities.
- Company: Dynamic HFT prop firm with a startup ethos and ambitious growth plans.
- Benefits: Competitive package with potential for significant upside in a thriving environment.
- Other info: Ideal for those seeking a fast-paced, collaborative environment with career growth opportunities.
- Why this job: Be part of a cutting-edge team making real impact in the finance world.
- Qualifications: Deep expertise in ML architecture or MFT alpha research, plus hands-on coding skills.
The predicted salary is between 60000 - 80000 € per year.
The setup: a HFT prop firm, building an ML-driven mid-frequency (mins > hours) global equities team, hiring in London. Central team (building globally across APAC, EU & US), firm-level commitment, not a pod, not a multi-manager. The team lead came out of one of the best firms in the business at this.
The hire(s) they’re looking to make are "T-shaped": Deep specialty in one of: modern ML architecture (PhD-levels-of-depth), MFT alpha research (order-book imbalance, signal decay, actual trading-aware intuition), or portfolio construction. Plus enough breadth in the other two to hold your own in the room. It’s a small team, with big ideas, and needs people who are hands on and comfortable working across different verticals. Startup ethos.
If your instinct when you need a piece of code is "I’ll wait for someone to build it," this isn’t the seat. If it’s "I’ll just build it myself this week, then test my idea," it probably is.
Demonstrable ship history: A strategy that went from your head to live PnL, not something you maintained, improved, or co-owned with four other people.
People who probably aren’t in the sweet spot: Narrow trade-experts. Five years on one strategy with the rest of the stack handled by someone else doesn’t transfer to a team this small. Comp-first candidates. Package is competitive, but if your first question is what the guarantee looks like, you’re probably optimising for the wrong thing. First movers on something like this get outsized upside if it works.
Location: London
There aren’t many teams right now who can credibly offer "MFT ML research built on a world-class HFT execution stack" as the proposition. Even less that can offer that as part of a genuine start-up business within an already successful, capital unconstrained prop firm expanding into new markets and at the start of a very ambitious, very achievable growth story.
If you’re a couple+ years into a big-firm seat and find yourself more resentful than energised by the size around you, it’s probably worth a conversation.
Machine Learning Researcher - Equities in London employer: Augmentti
Join a pioneering HFT prop firm in London, where innovation meets opportunity in the realm of machine learning and equities. With a startup ethos and a commitment to building a world-class team, we offer a collaborative work culture that encourages hands-on contributions and personal growth. Our competitive package rewards those who are driven by impact rather than just compensation, making this an ideal environment for forward-thinking professionals eager to shape the future of trading.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Researcher - Equities in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who are already working in firms you admire. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a project or a piece of code you're proud of, don't be shy about sharing it. Create a portfolio or GitHub repo that showcases your work, especially anything related to ML architecture or trading strategies.
✨Tip Number 3
Prepare for the interview like it's a big game! Research the firm, understand their ethos, and be ready to discuss how your hands-on experience aligns with their startup vibe. They want to see your passion and initiative!
✨Tip Number 4
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 take that extra step to connect directly with us.
We think you need these skills to ace Machine Learning Researcher - Equities in London
Some tips for your application 🫡
Show Your Depth:Make sure to highlight your deep expertise in modern ML architecture or MFT alpha research. We want to see that you’ve got the chops to back up your claims, so don’t just say you’ve done it—show us how you’ve applied it in real-world scenarios.
Demonstrate Your Hands-On Approach:We’re all about that startup ethos, so let your application reflect your proactive nature. Share examples of when you took the initiative to build something from scratch or solve a problem without waiting for someone else to step in.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity over fluff, so get to the point and make sure your passion for the role shines through without unnecessary jargon.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Augmentti
✨Show Your Deep Expertise
Make sure to highlight your deep knowledge in modern ML architecture or MFT alpha research. Prepare specific examples of your work that demonstrate your expertise, especially any projects that went from concept to live PnL. This will show you’re not just familiar with the concepts but have actually applied them successfully.
✨Demonstrate Hands-On Skills
Since this role requires a hands-on approach, be ready to discuss instances where you took initiative to build solutions yourself. Share stories about how you tackled challenges independently and what tools or methods you used to achieve results. This will resonate well with their startup ethos.
✨Understand the Team Dynamics
Research the firm’s structure and the small team environment they’re fostering. Be prepared to discuss how you can contribute across different verticals and collaborate effectively. Show that you’re adaptable and can thrive in a close-knit team setting, as this is crucial for their success.
✨Focus on the Bigger Picture
While compensation is important, make sure your primary focus during the interview is on the opportunity for growth and impact within the team. Express your enthusiasm for being part of a pioneering project and how you see yourself contributing to their ambitious goals. This will help you align with their values and vision.
