Data Scientist - Credit Risk

Posted 15 Days Ago
London, Greater London, England
In-Office
Junior
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
As a Data Scientist in Credit Risk, you'll support credit risk and pricing model development, perform data exploration, collaborate with various teams, and monitor model performance.
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 Scientist to join the Credit team at Teya to support the development of the credit risk and pricing models that underpin our lending products. This role will contribute directly to the delivery of our new lending products to small businesses across multiple geographies.

You will work on modelling initiatives across the full model lifecycle, from data exploration and feature development through to model deployment and performance monitoring. You will use your strong quantitative background to ensure models are developed in a statistically sound way. Collaborating with senior data scientists and stakeholders across Credit Strategy, Product, Engineering and Data Engineering, you will ensure models are well-understood and deliver real business value.

This is an excellent opportunity for someone early in their career who has hands-on credit modelling experience and wants to deepen their expertise within a fast-growing fintech.

Responsibilities

  • Problem solving: Support the translation of credit business problems into analytical and modelling tasks, contributing ideas and exploring alternative approaches.

  • Model development: Develop and enhance components of credit risk models and risk-based pricing frameworks, under guidance from senior team members.

  • Model deployment: Collaborate with Data Engineering to assist the deployment of models onto the ML Platform and integration into the credit decisioning system.

  • Model monitoring: Help monitor model performance, investigate performance changes or drift, and contribute to model improvements over time.

  • Data exploration: Explore internal and external data sources, engineer features, and assess their predictive value for credit modelling.

  • Collaboration: Work closely with Product, Engineering, Data Engineering and Credit Strategy to ensure modelling work supports operational and commercial goals.

Requirements

  • Hands-on experience of credit risk modelling, ideally in SME lending for a fintech / scale-up etc.

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

  • Strong applied quantitative skills, including use of machine learning techniques

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

  • Ability to explain analytical work clearly to both technical and non-technical stakeholders

  • Curious, pragmatic, and commercially minded, with a desire to understand how models drive business outcomes

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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