Senior Credit Decision Scientist - SME Lending in Birmingham

Senior Credit Decision Scientist - SME Lending in Birmingham

Birmingham Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the development of credit decisioning models for SME lending and drive innovation.
  • Company: Lovey, a dynamic player in the UK fintech sector.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and career advancement.
  • Why this job: Shape lending strategies and make a real impact in the fintech industry.
  • Qualifications: Experience in ML, statistical modelling, and a passion for data-driven decision making.

The predicted salary is between 60000 - 80000 Β£ per year.

Lovey, based in the UK fintech sector, seeks a Senior Decision Scientist to lead the development of credit decisioning models for SME lending.

You will own the end-to-end lifecycle from problem framing through deployment and monitoring, partnering across data, risk and product to shape lending strategy.

You will build ML and statistical models for credit risk, affordability, and pricing, and drive innovation with new data sources and experiments, including A/B testing.

Senior Credit Decision Scientist - SME Lending in Birmingham employer: Lovey

Lovey is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Central Birmingham. With a focus on employee growth, we offer tailored development opportunities and a supportive environment where your contributions directly impact our recovery strategies. Join us to be part of a dynamic team that values compliance and commercial acumen while enjoying competitive benefits and a vibrant office atmosphere.

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Contact Details:

Lovey Recruitment Team

We think you need these skills to ace Senior Credit Decision Scientist - SME Lending in Birmingham

Communication Skills
SQL
Problem-Solving Skills
Python
Data Engineering
Attention to Detail
Data Pipeline Development