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Risk Data Scientist

Job Description

Risk Data Scientist


Up to £100,000 + benefits

London based with hybrid working

Xcede are excited to be partnering with a heavily backed FinTech currently rolling out a modern BI platform at scale.

The role is fully hands on, you will be creating anomaly detection and predictive models from scratch, helping identify any risks a leading Fintech could have. You would be joining the Risk team, making it a great opportunity to interact with cross functional members of the company. You will also enjoy all the benefits a leading FinTech company can offer.

Key skills/experience required:

  • A degree in STEM subject, ideally a Master's or PhD. Or relevant Data Science experience
  • Involvement in the whole lifecycle of models all the way to production and maintaining of projects
  • Understanding of machine learning techniques including linear models and tree-based methods / clustering / unsupervised ML techniques
  • ML model deployment experience
  • Excellent grasp of Python, machine learning core libraries
  • Ability to convey technical concepts to a non-technical audience
  • Great scientific thinking, the ability to design effective experiments which help us learn about new problems in the most efficient way
  • A knowledge of software development best practices

For more information, please send an up-to-date CV to

Python, R, Computer Science, Statistics, Data pipelines, SQL, Regression, XGBoost, Random Forest, Decision Trees, Predictive modelling, Insurance, Machine Learning, DBT