ML Research Scientist, Quant Finance & Innovation

Braunford LLP; Greater London; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Highly competitive compensation

Annual discretionary bonus

35 days’ annual leave

9% company pension contributions

Comprehensive healthcare and life assurance

Monthly company events

Job summary

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.

Qualifications

• Post-graduate degree in machine learning or related discipline or equivalent commercial experience.
• Successful history in online data science competitions.
• Experience in deep learning, reinforcement learning, non-convex optimization, NLP, or Bayesian methods.
• Strong reasoning skills and mathematical ability.
• Strong programming skills in Python and experience with object-oriented programming.

Responsibilities

• Develop and test ideas using real-world data.
• Collaborate in a vibrant research community and attend leading conferences.
• Utilize massive compute power and state-of-the-art ML techniques.

Skills

Machine learning algorithms

Deep learning

Reinforcement learning

Mathematical reasoning

Python programming

Education

Post-graduate degree in machine learning or related discipline

Tools

Python

Scikit-Learn

SciPy

NumPy

Pandas

Jupyter Notebooks

Job description

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.