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 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, and 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 employer: Braunford LLP
Braunford LLP is an exceptional employer located in the vibrant Greater London area, offering a stimulating work environment where innovation thrives. With a strong emphasis on employee growth and development, the company provides competitive compensation, generous annual leave, and unique perks like complimentary lunches, all while promoting a healthy work-life balance. Joining Braunford means being part of a dynamic team dedicated to pushing the boundaries of machine learning in quantitative finance.
StudySmarter Expert Advice🤫
We think this is how you could land ML Research Scientist, Quant Finance & Innovation
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of machine learning and quantitative finance. Attend meetups, webinars, or even online forums to connect with people who can give you insights or refer you to opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to finance. This could be anything from Kaggle competitions to personal projects that demonstrate your programming prowess in Python.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail, focusing on how you tackled complex problems.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities at Braunford LLP, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace ML Research Scientist, Quant Finance & Innovation
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 why you're the perfect fit!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to understand your achievements and experiences.
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 models for quantitative finance problems.
✨Showcase Your Coding Skills
Since exceptional programming skills in Python are a must, practice coding challenges beforehand. You might be asked to solve a problem on the spot, so being comfortable with libraries like NumPy and Pandas will give you an edge.
✨Highlight Your Competition Success
If you've participated in data science competitions, make sure to bring this up! Discuss the challenges you faced, your approach, and the results. This shows your practical experience and ability to tackle complex problems.
✨Ask Insightful Questions
Prepare thoughtful questions about Braunford LLP's projects and their approach to innovation in machine learning. This not only shows your interest but also helps you gauge if the company aligns with your career goals.
