Data Analyst - Credit Risk

Posted 13 Days Ago
London, Greater London, England
In-Office
Mid level
Fintech • Payments • Financial Services
We’re Teya - proud to serve small, local businesses with the financial tools they need to manage, grow, and thrive.
The Role
Analyze credit performance and portfolio behavior, conduct statistical analyses, support pricing testing, and develop metrics to inform decision-making.
Summary Generated by Built In

Hello! We're Teya.

Teya is a payment and software service provider, headquartered in London serving small, local businesses across Europe. Founded in 2019, we build easy to use, integrated tools that enable our members to accept payments and boost business performance.

At Teya we believe small, local businesses are the lifeblood of our communities.

We’re here because we don’t believe there’s a level playing field that gives small businesses with a fighting chance against the giants of the high street.

We’re here because we see banks and legacy service providers making things harder for them. We don’t think the best technology or the best service should be reserved for those with the biggest headquarters.

We’re here to fight for a future where small, local businesses can thrive, and to commit the same dedication they offer all of us.

Become a part of our story.

We’re looking for exceptional talent to join our mission. We offer a chance to create impact in a high-energy and connected culture, while benefiting from continuous learning opportunities, a supportive community which is proud to serve our mission, and comprehensive benefits.

Your Mission

We’re looking for a Data Analyst to join the Credit team at Teya, focused on analysing and improving the performance of our credit decisioning and pricing systems. This role will play a key part in understanding how our lending products perform across the customer journey, identifying opportunities to improve conversion, risk, and profitability.

You will work closely within Credit with strategy analysts and data scientists, and with Data Engineering and Product to analyse credit decision outcomes, test pricing, and assess portfolio behaviour. Your work will provide clear, evidence-based insights to inform changes to credit decision flows, pricing, and risk measurement.

This is an excellent opportunity for someone who enjoys deep problem-solving, working with complex datasets, and influencing business decisions through high-quality analysis.

Responsibilities

  • Credit risk deep dives: Conduct statistical analyses of credit performance and portfolio behaviour, delivering actionable insights with measurable business impact.

  • Problem solving: Translate credit business hypotheses and problems into analytical requirements and develop a plan to execute the analysis/testing and deliver results.

  • Credit decisioning analysis: Analyse performance of the credit decisioning framework, including assessment of conversion, losses and profitability. Identify opportunities to optimise decision components.

  • Pricing testing: Support the design and evaluation of pricing experiments. Analyse data to understand customer elasticity and forecast impacts on conversion, revenue and risk.

  • Insights and reporting: Develop metrics and dashboards to track credit performance and support ongoing decision making.

  • Collaboration: Partner within Credit and with Product and Finance to ensure analytical insights are well-understood and inform changes to decisioning, pricing, and policy.

Requirements

  • Experience in a data analysis role in credit risk, ideally in SME lending for a fintech / scale-up etc.

  • Proficiency in Python and SQL, with experience working with real-world datasets

  • Degree in a quantitative field such as Mathematics, Statistics, Engineering or related discipline

  • Solid statistical understanding, including hypothesis testing, distributions, and regression-based analysis

  • Ability to translate complex analyses into clear, actionable insights for non-technical stakeholders

  • Commercially minded, curious, and comfortable working with ambiguity

Teya is proud to be an equal opportunity employer.

We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all.

If you require any reasonable adjustments at any stage of the recruitment process whether for interviews, assessments, or other parts of the application—we encourage you to let us know. We are committed to ensuring that every candidate has a fair and accessible experience with us.

Top Skills

Python
SQL
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The Company
HQ: London
1,000 Employees
Year Founded: 2019

What We Do

At Teya, we believe small, local businesses are the heartbeat of every community. Teya was founded to help small, local businesses thrive. We exist to make business smoother, simpler, and more rewarding for the people who keep our communities alive. That means exceptional support, intuitive solutions, and
a team truly invested in our Members’ success.


To us, they’re more than customers – they’re part of
a community built on trust and shared ambition. 
That’s why we proudly say: “Member since.” 
It’s our way of honouring every relationship and building a stronger, more connected future together.

Why Work With Us

We’re a fast-growing European fintech helping small, local businesses thrive. We value simplicity, teamwork, and impact. At Teya, you’ll join a diverse, passionate team where ideas matter, growth is encouraged, and every action helps real people and communities succeed, every single day.

Teya Offices

OnSite Workspace

We believe great ideas happen when people come together. Our hybrid approach gives you the flexibility to work from home, but we encourage spending at least three days a week in the office to collaborate, connect, and keep our culture strong.

Typical time on-site: None
HQTeya London
Teya Bratislava
Teya Hungary
Teya Lisbon
Teya Czechia
Teya Reykjavik
Teya Latvia
Teya Croatia
Learn more

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