Noggin HQ is a VC-backed financial technology company based in Newcastle upon Tyne. Our mission is to build state of the art models that reshape credit scoring in a fairer and smarter way.
Role Description
To succeed in this role, you must enjoy a fast-paced, high-execution culture, and maintain exceptional standards at a critical stage. In particular, you will:
- Design, build, and maintain machine learning models for use in credit decisioning.
- Collaborate with software engineers in deploying the models into production environments.
- Own model lifecycle management and model performance monitoring that is delivered to the board.
- Use Open Banking transaction data to develop innovative credit risk solutions, fraud risk solutions and affordability solutions for our customers (lenders).
- Collaborate closely with the Founders, Senior Leadership Team, and Technical Team, to shape the product roadmap.
- Be a self‑starter who can take real ownership and responsibility for their work and objectives, be highly organised and have excellent communication & time management skills.
- AWS/GCP
- Python - Preferred
- Docker Preferred or Kubernetes
- Git
- Flask or Fast API
Experience and skills
- 5+ years of commercial experience as a Data Scientist building machine learning models.
- Previous commercial experience with Open Banking data and building consumer credit risk scorecards preferred.
- Domain relevant experience, e.g., have worked at an FCA/PRA-regulated firm, including banks, lenders, financial data companies, credit risk companies, Credit Reference Agencies.
- Comfortable with AWS and Cloud Infrastructure.
- Understand ISO 27001 requirements.
- There are significant opportunities for progression and pay increases throughout the year, depending on performance, contribution and impact.
- Learning and development opportunities, where relevance is evidenced, can be paid for by the company.
- 25 days holiday + bank holidays.
- Company-wide bonuses should commercial targets be hit.
How we work
We have an office based in Newcastle upon Tyne, and as such, thoroughly encourage candidates to apply who live in the North East.
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