At a Glance
- Tasks: Apply ML and statistical methods to financial data and build production systems.
- Company: Top quantitative firms in London with a focus on innovation.
- Benefits: Total compensation up to £500k+, plus a dynamic work environment.
- Other info: Immediate feedback loops and high engineering standards for career growth.
- Why this job: Join a cutting-edge team and make an impact in finance with your skills.
- Qualifications: Strong ML or quantitative research background with Python and SQL expertise.
Location: London, 5 days in office
Salary: Total compensation up to £500,000+
The role involves ML and quant research engineering at top London firms, applying machine learning and statistical modelling to financial data at scale. The data is rich, the feedback loops are immediate, and the bar for engineering rigour is unusually high.
The work includes:
- Applying ML and statistical methods to time-series, signal generation, or execution problems
- Building and deploying production ML systems on financial data
- Partnering with quants, traders, and engineers across the firm
What you bring:
- Strong ML or quantitative research background, ideally with production experience
- Deep statistical fundamentals: regression, time-series, hypothesis testing
- Strong Python and SQL, plus comfort going lower-level when required
- Track record of high-quality work in technically rigorous environments
ML / Quant Research Engineer (Top Quantitative Firms | £500k TC) employer: Dex
At our top-tier quantitative firm in London, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration. Employees benefit from competitive compensation packages, exceptional growth opportunities, and the chance to work with cutting-edge technology in a fast-paced environment. Join us to be part of a team where your contributions directly impact financial strategies and outcomes, all while enjoying the vibrant atmosphere of one of the world's leading financial hubs.
StudySmarter Expert Advice🤫
We think this is how you could land ML / Quant Research Engineer (Top Quantitative Firms | £500k TC)
✨Tip Number 1
Network like a pro! Reach out to folks 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 land you that dream job.
✨Tip Number 2
Prepare for those technical interviews! Brush up on your ML concepts, statistical methods, and coding skills in Python and SQL. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 3
Showcase your projects! Whether it's a GitHub repo or a personal website, make sure to highlight your work in ML and quantitative research. We want to see your problem-solving skills in action, so don’t hold back!
✨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 the initiative to apply directly. Let’s get you that £500k role!
We think you need these skills to ace ML / Quant Research Engineer (Top Quantitative Firms | £500k TC)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your ML and quantitative research experience. We want to see how your skills align with the role, so don’t be shy about showcasing your production experience and technical rigour!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about applying ML to financial data and how your background makes you a perfect fit for the role. Keep it concise but impactful!
Showcase Your Technical Skills:Don’t forget to emphasise your strong Python and SQL skills in your application. If you’ve worked on any relevant projects or have experience with statistical methods, make sure to include those details to impress us!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Dex
✨Know Your ML Fundamentals
Brush up on your machine learning and statistical fundamentals. Be ready to discuss concepts like regression, time-series analysis, and hypothesis testing in detail. This will show that you have a solid foundation and can apply these methods effectively.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python and SQL. You might be asked to solve coding problems or explain your previous projects. Make sure you can articulate your thought process clearly and confidently, as this reflects your ability to work in a technically rigorous environment.
✨Understand the Financial Context
Familiarise yourself with how ML and statistical modelling are applied in finance. Research common problems in signal generation and execution. Being able to connect your technical skills to real-world financial applications will impress your interviewers.
✨Collaborative Mindset
Highlight your experience working with quants, traders, and engineers. Prepare examples of how you've successfully collaborated in the past. This role requires teamwork, so showing that you can communicate and partner effectively will set you apart.
