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:
- Apply ML and statistical methods to time-series, signal generation, or execution problems
- Build and deploy production ML systems on financial data
- Partner 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
As part of the recruitment process at Dex, we process your personal data in accordance with our Privacy Notice for Job Applicants. This notice explains how and why your data is collected and used, and how you can contact us if you have any concerns.
ML / Quant Research Engineer (Top Quantitative Firms | £500k TC) in London employer: Dex
At our top-tier quantitative firm in London, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration. With a total compensation package of up to £500k, we offer unparalleled opportunities for professional growth and development, allowing you to work alongside leading experts in machine learning and quantitative research. Our commitment to engineering excellence and immediate feedback loops ensures that your contributions will have a meaningful impact on the financial landscape.
StudySmarter Expert Advice🤫
We think this is how you could land ML / Quant Research Engineer (Top Quantitative Firms | £500k TC) in London
✨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
Show off your skills! Create a portfolio showcasing your ML projects or quantitative research. We recommend using GitHub to share your code and results. This way, potential employers can see your work in action and get a feel for your expertise.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects in detail. We suggest practicing common interview questions related to ML and quant research to boost your confidence.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, applying directly can sometimes give you an edge over other candidates. Don’t miss out on that opportunity!
We think you need these skills to ace ML / Quant Research Engineer (Top Quantitative Firms | £500k TC) in London
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 machine learning in finance. We love seeing candidates who can articulate their interest and how they can contribute to our team.
Showcase Your Technical Skills:Don’t forget to emphasise your Python and SQL skills in your application. We’re looking for candidates who are comfortable with both high-level and low-level programming, so make sure to include relevant projects or experiences that demonstrate this.
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 principles to real-world financial data.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python and SQL. You might be asked to solve coding problems or explain how you've used these languages in past projects. Having examples ready will help you illustrate your experience and technical prowess.
✨Understand the Financial Context
Familiarise yourself with how machine learning is applied in finance, particularly in areas like signal generation and execution problems. Being able to discuss specific applications will set you apart and show your genuine interest in the role.
✨Collaborative Mindset
Highlight your experience working with quants, traders, and engineers. Prepare examples of how you've successfully collaborated in high-pressure environments. This will demonstrate that you can thrive in a team-oriented setting, which is crucial for this role.
