Lead Decision Science β€” Credit Risk & ML

Lead Decision Science β€” Credit Risk & ML

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Harnham

At a Glance

  • Tasks: Lead credit risk strategy using advanced analytics and machine learning.
  • Company: Fast-growing fintech company in London with a focus on innovation.
  • Benefits: Competitive salary, career progression, and exposure to senior stakeholders.
  • Other info: Dynamic environment with opportunities for professional growth.
  • Why this job: Shape lending decisions and make a real impact in the fintech space.
  • Qualifications: Experience in Python, SQL, and AWS SageMaker required.

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

Harnham in London is seeking a Decision Science Lead to shape credit risk strategy through advanced analytics and ML, with exposure to senior stakeholders and clear progression. You will develop and deploy models using Python, SQL, and AWS SageMaker, monitor performance, generate insights, and influence lending decisions across cross-functional teams in a fast-growing fintech environment.

Lead Decision Science β€” Credit Risk & ML employer: Harnham

Join a leading UK-based media organisation at the forefront of digital transformation, where your role as Director of Streaming Product and Growth will be pivotal in shaping the future of their subscription services. With a strong emphasis on innovation and a collaborative work culture, you'll have access to significant growth opportunities, competitive salary packages, and a performance-based bonus structure, all while working in a dynamic environment that values data-driven decision making and customer-centric strategies.

Harnham

Contact Details:

Harnham Recruitment Team

We think you need these skills to ace Lead Decision Science β€” Credit Risk & ML

Advanced Analytics
Machine Learning (ML)
Python
SQL
AWS SageMaker
Model Development
Performance Monitoring