Underwriter/ Credit Risk Analyst | Fully Remote | £30k - £35k

JR United Kingdom; Exeter; Remote; GBP 30,000 - 35,000; Full time

Job summary

A leading finance company seeks a Credit Underwriter / Credit Risk Analyst to join their expanding UK operations. This fully remote role involves making real-time credit decisions and supporting portfolio analysis using SQL and Python, offering a unique opportunity for professional growth in the consumer finance sector.

Qualifications

• Experience underwriting unsecured personal loans.
• Good understanding of credit risk.
• Comfortable making independent credit decisions.

Responsibilities

• Review and assess consumer credit applications.
• Engage with customers for additional information.
• Support analytics projects and improve credit strategy.

Skills

Credit Risk

SQL

Python

Communication

Decision Making

Tools

SQL

Python

Job description

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Underwriter/ Credit Risk Analyst | Fully Remote | £30k - £35k, exeter

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Client:

Skillful

Location:

exeter, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

5

Posted:

31.05.2025

Expiry Date:

15.07.2025

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Job Description:

? Role: Credit Underwriter / Credit Risk Analyst

? Location: Fully remote (UK only)

This is a brilliant opportunity to join a digital-first, values-led business that’s already made serious waves in the consumer finance space. With a growing product set spanning Buy Now Pay Later, credit cards and business finance, they’re helping people buy everything, everywhere, every day and doing it in a smarter, fairer way.

They’ve built a strong foundation and are now growing their UK operation, giving you the chance to join early, take ownership and make a difference from day one. The culture is collaborative, energising and full of people who care deeply about doing good work. You’ll be trusted, supported and given the space to grow.

They’re now looking for someone who can help them grow by joining as a Credit Underwriter / Credit Risk Analyst.

It’s a hands-on position, perfect for someone who thrives on variety. You’ll be making real-time credit decisions while also using SQL and Python to support wider portfolio analysis. Whether you’re an experienced underwriter with a growing interest in analytics, or already blending both worlds, this role gives you the chance to stretch yourself and make an impact.

To be successful, you’ll need experience underwriting unsecured personal loans or an analyst who is happy/comfortable to help with the Underwriting side too. You'll also have a good understanding of credit risk. You’ll also need to be comfortable working independently, spotting risks, and making confident calls that balance risk with growth.

So, if you are comfortable with…

• Reviewing and assessing consumer credit applications across a growing portfolio
• Engaging with customers and gathering any additional information needed
• Spotting risk and fraud, and making clear, well-reasoned credit decisions
• Supporting analytics projects using SQL and Python (bonus)
• Generating insights on performance and helping shape credit strategy
• Collaborating across teams to improve processes and customer outcomes
• Taking ownership of your work in a fast-paced and fully remote environment

And have experience in…

• Underwriting in UK consumer lending, especially unsecured loans
• Working with credit risk strategies and understanding affordability models
• Using SQL or Python, or a willingness to learn and build your analytical toolkit
• Balancing commercial thinking with attention to detail
• Communicating clearly and making good decisions under pressure
• Being part of a remote team where trust, autonomy and collaboration are key

Then this could be a brilliant next step for you.

You’ll be joining a business that’s ambitious, inclusive and expanding across the UK. There’s loads to get stuck into, and a real opportunity to grow your skills across both underwriting and analytics.

We are more than happy to send you a full spec or sing their praises over a brief call - just let us know what you prefer.