Credit Risk Analytics Manager

Artis Recruitment; Cardiff; On-site; GBP 60,000 - 80,000; Full time

Job summary

A growing financial services organisation in the UK is seeking a Credit Risk Analytics Manager. This role involves shaping the credit risk framework, designing effective lending strategies, and monitoring portfolio trends. Ideal candidates will have experience in credit risk, strong skills in SQL or Python, and thrive in a fast-paced environment.

Qualifications

• Several years of experience in credit risk, ideally in credit cards, consumer finance, or unsecured lending.
• Strong technical ability in SQL or Python.
• Familiarity with credit scorecards, predictive modelling, and decision-making tools.

Responsibilities

• Support the development and delivery of effective lending strategies.
• Design, implement, and optimise credit strategies across the customer lifecycle.
• Collaborate with teams across finance, marketing, and operations.

Skills

SQL

Python

Credit scorecards

Predictive modelling

Job description

Credit Risk Analytics Manager

Artis Recruitment is delighted to be partnering with a growing financial services organisation in the search for a Credit Risk Analytics Manager. You will support the development and delivery of effective lending strategies that balance customer growth with robust risk management.

This is a hands‑on opportunity to shape the business's credit risk framework, enhance decision‑making processes, and drive measurable commercial impact. You'll design, implement, and optimise credit strategies across the customer lifecycle, from acquisition through to account management and collections, ensuring lending decisions remain responsible and commercially sound.

Working with teams across finance, marketing, and operations, you'll take ownership of changes within decision‑making platforms such as Taktile (or similar), develop performance dashboards, and monitor emerging risks and portfolio trends. Collaboration with fraud and data teams will also be key to identifying early indicators of risk and driving proactive solutions.

We're looking for candidates with several years' experience in credit risk, ideally within credit cards, consumer finance, or unsecured lending. Strong technical ability in SQL or Python, and familiarity with credit scorecards, predictive modelling, and decision‑making tools are essential.

This role suits someone who combines analytical expertise with a practical, delivery‑focused approach. You'll thrive in a fast‑paced environment, enjoy taking ownership of projects, and be confident influencing stakeholders to improve credit performance.

This is an exciting opportunity to take a leading role in shaping credit risk strategy within a growing, forward‑thinking organisation.

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