7 дней назад
Graduate Credit Analyst (Fintech)
50 000GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Graduate Credit Analyst (Fintech): Building and improving lending strategies, credit risk models, and machine learning models for transparent borrowing products with an accent on data analysis, experimentation, and responsible lending. Focus on developing production models, assessing future credit losses, and independently reviewing lending decisions across three rotations.
Location: London, UK; hybrid with three days per week in the London office
Salary: £50,000 base salary per year plus performance-based incentive awards
Company
is a UK digital bank offering personal and business accounts, savings, investments, pensions, credit cards, and lending products.
What you will do
- Complete three eight-month rotations across ’s Borrowing business over two years.
- Support credit strategy decisions on lending eligibility, credit limits, and responsible access to credit.
- Develop and improve machine learning and statistical models used in lending decisions.
- Build and maintain regulatory models for forecasting credit losses and managing capital.
- Review and challenge lending strategies and models to support robust governance and customer-focused decisions.
- Work with Product, Engineering, Machine Learning, Finance, and Risk teams to use data and ship improvements to lending products.
Requirements
- Graduated in 2026 or graduating in 2027 with, or expecting to achieve, at least a 2:1 in a STEM, Economics, or another highly analytical degree.
- Applications are welcome from graduates with Bachelor’s, Master’s, or PhD degrees.
- Strong interest in solving complex problems with data, asking questions, and finding better solutions.
- Curiosity, collaboration, and enthusiasm for learning new technologies.
- Full right to work in the UK with no limitations.
- Ability to work from the London office three days per week on a hybrid basis.
Culture & Benefits
- Flexible working hours and autonomy to work at suitable times with the team.
- Training in SQL, Python, communication, and data presentation.
- £1,000 annual learning budget for books, courses, and conferences.
- Top-spec MacBook and accessories.
- Knowledge-sharing sessions, team and company events, and lunch at the office twice a week.
Hiring process
- Submit an application and answer several short questions.
- Complete an online analytical thinking and problem-solving exercise.
- Attend an in-person assessment centre on 23 November 2026, including interviews and team activities.
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