Senior Data Scientist β€” Risk Scoring & Modeling (Equity) in London

Senior Data Scientist β€” Risk Scoring & Modeling (Equity) in London

London Full-Time 55000 - 70000 Β£ / year (est.) No working from home possible
Fintech Farm Ltd

At a Glance

  • Tasks: Build and improve risk-scoring models to assess customer creditworthiness.
  • Company: Join a leading fintech company at the forefront of innovation.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on continuous improvement and innovation.
  • Why this job: Make a real impact by translating data into critical business decisions.
  • Qualifications: Experience in data science and strong analytical skills required.

The predicted salary is between 55000 - 70000 Β£ per year.

Fintech Farm Ltd is seeking a Senior Data Scientist focused on risk modelling to build, improve and monitor scoring models that assess customer creditworthiness across markets.

You will work closely with business, analytics and engineering teams to translate data into critical decisions.

You will develop risk-scoring models, engineer features, analyze trends and collaborate to deploy models into production, with ongoing monitoring for improvements and impact.

#J-18808-Ljbffr

Senior Data Scientist β€” Risk Scoring & Modeling (Equity) in London employer: Fintech Farm Ltd

Fintech Farm Ltd is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from competitive salaries, share options, and ample opportunities for professional growth, making it an ideal place for those looking to make a meaningful impact in the fintech industry.

Fintech Farm Ltd

Contact Details:

Fintech Farm Ltd Recruitment Team

We think you need these skills to ace Senior Data Scientist β€” Risk Scoring & Modeling (Equity) in London

Risk Modelling
Scoring Models Development
Feature Engineering
Data Analysis
Trend Analysis
Collaboration
Model Deployment