At a Glance
- Tasks: Join a dynamic team to develop cutting-edge ML strategies for global equities.
- Company: Exciting HFT prop firm with a startup vibe and ambitious growth plans.
- Benefits: Competitive package, hands-on experience, and the chance to shape your own projects.
- Other info: Ideal for those seeking a fast-paced environment with significant career growth.
- Why this job: Be part of a small team making a big impact in the finance world.
- Qualifications: Deep expertise in ML architecture or MFT alpha research, plus collaborative 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.
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 Slough employer: Augmentti
Join a pioneering HFT prop firm in London, where you'll be part of a small, dynamic team dedicated to building cutting-edge ML-driven strategies in global equities. With a startup ethos and a commitment to innovation, we offer a collaborative work culture that encourages hands-on contributions and personal growth, alongside competitive packages and the unique opportunity to shape the future of our ambitious growth story.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Researcher - Equities in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who are already working in firms similar to the one you're eyeing. Use LinkedIn or even Twitter to connect and engage with them. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or research that showcases your expertise in ML architecture or MFT alpha research, make sure to highlight it during interviews. Bring tangible examples of your work to the table; it’ll set you apart from the crowd.
✨Tip Number 3
Be proactive! Don’t just wait for job postings to pop up. Reach out directly to the firm through our website and express your interest. A well-crafted message can go a long way in making a memorable impression.
✨Tip Number 4
Prepare for the unexpected! In a small team with big ideas, you might be asked to think on your feet. Brush up on your problem-solving skills and be ready to discuss how you’d tackle real-world challenges in ML and trading. Show them you’re not just a thinker, but a doer!
We think you need these skills to ace Machine Learning Researcher - Equities in Slough
Some tips for your application 🫡
Show Your Depth:When applying, 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 and can back it up with real examples from your work.
Demonstrate Your Hands-On Approach:We love candidates who take initiative! In your application, share specific instances where you built something from scratch or took a project from concept to live PnL. This shows us you're not just a thinker but a doer.
Be Authentic:Let your personality shine through in your written application. We’re looking for team players who are excited about the startup ethos. Don’t be afraid to express why you’re passionate about this opportunity!
Apply Through Our Website:Make sure to submit your application through our website. It’s the best way for us to keep track of your application and ensures you don’t miss out on any important updates from our team.
How to prepare for a job interview at Augmentti
✨Know Your Stuff
Make sure you have a deep understanding of modern ML architectures. Brush up on your knowledge and be ready to discuss your specific experiences, especially if you've worked on projects that went from concept to live PnL. They want to see that you can back up your claims with real-world examples.
✨Show Your Hands-On Approach
This role is all about being proactive. Be prepared to share instances where you took the initiative to build something yourself rather than waiting for someone else. Highlight any projects where you’ve developed code or strategies independently, as this aligns perfectly with their startup ethos.
✨Demonstrate Your T-Shaped Skills
While they’re looking for deep expertise in one area, don’t forget to showcase your breadth in the other two. Prepare to discuss how your skills in MFT alpha research and portfolio construction complement your main area of expertise. This will show that you can contribute across different verticals.
✨Be Ready for a Culture Fit
Understand the firm’s culture and values. They’re not just looking for technical skills; they want someone who fits into a small, ambitious team. Be honest about your motivations and ensure your questions reflect an interest in growth and collaboration rather than just financial guarantees.
