At a Glance
- Tasks: Develop and test innovative machine learning algorithms for complex finance problems.
- Company: Braunford LLP, a dynamic firm in Greater London.
- Benefits: Competitive pay, annual leave, free lunches, and great work-life balance.
- Other info: Exciting opportunities for growth in a collaborative environment.
- Why this job: Join a cutting-edge team and tackle real-world challenges in finance.
- Qualifications: Post-graduate degree in machine learning and strong Python programming skills.
The predicted salary is between 60000 - 80000 £ per year.
Braunford LLP based in Greater London is seeking a Researcher in Machine Learning to join their dynamic team. The role involves developing and testing innovative machine learning algorithms using real-world data, with a focus on tackling complex quantitative finance problems.
Candidates should have:
- a post-graduate degree in machine learning or related fields,
- exceptional programming skills in Python,
- a proven success record in data science competitions.
The position offers competitive compensation, annual leave, and various perks such as lunches and a strong work-life balance.
ML Research Scientist, Quant Finance & Innovation in London employer: Braunford LLP
Braunford LLP is an exceptional employer that fosters a culture of innovation and collaboration in the heart of Greater London. With a strong emphasis on employee growth, we offer competitive compensation, generous annual leave, and unique perks like complimentary lunches, all while promoting a healthy work-life balance. Join us to be part of a dynamic team where your contributions to machine learning in quantitative finance will be valued and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land ML Research Scientist, Quant Finance & Innovation in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Braunford LLP on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects, especially those related to quantitative finance. We want to see your coding prowess in Python and how you tackle real-world data.
✨Tip Number 3
Ace the interview! Brush up on common ML concepts and be ready to discuss your approach to solving complex problems. We love candidates who can think critically and communicate their thought process clearly.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace ML Research Scientist, Quant Finance & Innovation in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your programming skills in Python and any relevant experience you have with machine learning. We want to see how you've tackled complex problems before, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention specific projects or competitions that relate to quantitative finance and machine learning. It helps us see how you fit into our team!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's necessary. We appreciate a well-structured application that gets straight to the point!
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’s super easy!
How to prepare for a job interview at Braunford LLP
✨Know Your Algorithms
Brush up on the latest machine learning algorithms and be ready to discuss how you've applied them in real-world scenarios. Be prepared to explain your thought process behind choosing specific algorithms for quantitative finance problems.
✨Showcase Your Coding Skills
Since exceptional programming skills in Python are a must, practice coding challenges beforehand. We recommend using platforms like LeetCode or HackerRank to sharpen your skills and be ready to demonstrate your coding prowess during the interview.
✨Highlight Your Competition Success
If you've participated in data science competitions, make sure to highlight your achievements. Discuss the challenges you faced, the strategies you employed, and the outcomes. This will show your practical experience and problem-solving abilities.
✨Ask Insightful Questions
Prepare thoughtful questions about Braunford LLP's projects and their approach to machine learning in finance. This not only shows your interest in the role but also helps you gauge if the company aligns with your career goals and values.
