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Deine Aufgaben
You’ll analyse data and contribute to the development ofour credit models. You’ll work with analysts, data scientists, and senior stakeholders to shape iwoca’s lending strategy.
Learn:
- Build expertise in the credit domain.
- Develop your analytical skills through exposure to different experimental approaches and complex analysis.
Develop commercial influence:
- Practice turning data into information, and information into insights, so that you and various stakeholders can deliver improvements with real impact for our customers.
Work on interesting and impactful projects, for example:
- Monitoring and refining risk models to improve decision-making and portfolio outcomes
- Analysing portfolios and tests to investigate credit performance, identify drivers of change, and adapt lending strategies
- Building better tooling, monitoring, and workflows so we catch adversity faster and spend less time on manual work
- Supporting new product launches and adapting policies to meet investor and regulatory needs
Dein Profil
Essential:
- A quantitative background, such as a degree in mathematics, statistics, economics, engineering, or a related field
- Ability to analyse data and generate insights to support decisions
- Clear written and verbal communication, with the ability to tailor analysis and recommendations to different audiences
- A team player, with the ability to work confidently and enthusiastically with different people and teams
- A commitment to using modern tools effectively – including AI – to maximise quality, speed, and rigour, while retaining responsibility for accuracy and outcomes
Bonus:
- Experience in B2B or B2C credit risk, lending, and strategy
- Proficiency in SQL and Python
- Experience with data visualisation tools like Looker
Über den Arbeitgeber
The Credit Risk Modelling team builds and improves the models that drive iwoca’s lending decisions. They combine data science, engineering, and risk expertise to balance automation with human judgement and their work supports everything from underwriting and pricing to portfolio monitoring. The team’s work is central to iwoca’s growth and has a direct impact on both customer outcomes and business performance.
The team includes data scientists, developers, and risk analysts, all working hybrid schedules in London. The team’s work is quite collaborative and there’s always four or five people in the office on a given day. The team plans objectives for each quarter and manages progress with weekly meetings. They also have stand-ups every other day to share concerns and help each other.
The team
The Credit Risk Modelling team builds and improves the models that drive iwoca’s lending decisions. They combine data science, engineering, and risk expertise to balance automation with human judgement and their work supports everything from underwriting and pricing to portfolio monitoring. The team’s work is central to iwoca’s growth and has a direct impact on both customer outcomes and business performance.
The team includes data scientists, developers, and risk analysts, all working hybrid schedules in London. The team’s work is quite collaborative and there’s always four or five people in the office on a given day. The team plans objectives for each quarter and manages progress with weekly meetings. They also have stand-ups every other day to share concerns and help each other.
The role
You’ll analyse data and contribute to the development ofour credit models. You’ll work with analysts, data scientists, and senior stakeholders to shape iwoca’s lending strategy.
Learn:
Build expertise in the credit domain.
Develop your analytical skills through exposure to different experimental approaches and complex analysis.
Develop commercial influence:
Practice turning data into information, and information into insights, so that you and various stakeholders can deliver improvements with real impact for our customers.
Work on interesting and impactful projects, for example:
Monitoring and refining risk models to improve decision-making and portfolio outcomes
Analysing portfolios and tests to investigate credit performance, identify drivers of change, and adapt lending strategies
Building better tooling, monitoring, and workflows so we catch adversity faster and spend less time on manual work
Supporting new product launches and adapting policies to meet investor and regulatory needs
The requirements
Essential:
A quantitative background, such as a degree in mathematics, statistics, economics, engineering, or a related field
Ability to analyse data and generate insights to support decisions
Clear written and verbal communication, with the ability to tailor analysis and recommendations to different audiences
A team player, with the ability to work confidently and enthusiastically with different people and teams
A commitment to using modern tools effectively – including AI – to maximise quality, speed, and rigour, while retaining responsibility for accuracy and outcomes
Bonus:
Experience in B2B or B2C credit risk, lending, and strategy
Proficiency in SQL and Python
Experience with data visualisation tools like Looker
Find out more about our Internal Recruitment Process here.
Have someone you want to refer for the role? Learn more about our Referrals Rewards here.

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