About Us:
One third of the UK working age population are unable to access affordable credit. We at Amplifi want to rectify this issue. We aim to improve the nation's financial health, using our state-of-the-art FinTech ecosystem, allowing ethical lending via credit unions accessible to everyone in the UK.
Amplifi Capital are one of the top 5 lenders in the near prime unsecured personal loans market in the UK. Through our innovative work we have grown our new customer volumes by 5 folds in just the last two years alone. Aiming to increase that number even further as we progress.
We are the biggest name in the UK credit union market with the two largest Credit Unions in the UK on the Amplifi platform. We at Amplifi Capital want to go beyond that, aiming to be the biggest player in the UK personal loan market for the near prime segment. Standing out against our competitors, being at the forefront of personal loans market.
The Role:
Are you a recent graduate with a passion for data and a keen interest in financial services? At Amplifi Capital, we're looking for a bright, analytical, and motivated individual to join our Pricing team as a Graduate Pricing Analyst.
This is a fantastic opportunity to kick-start your career in a fast-growing consumer lending business, where data-driven decision making is at the heart of everything we do. You'll gain hands-on experience working alongside experienced analysts and senior stakeholders, helping to shape the pricing strategies that drive our loan products.
You'll be part of a collaborative, high-performing team where your insights will have real impact — and where your growth and development are actively supported.
Responsibilities:
- Develop and enhance loan pricing models across our product suite using a blend of traditional analytics and advanced data science techniques
- Drive innovation in pricing and underwriting by championing the adoption of statistical and machine learning methods across the business
- Translate complex analysis into actionable insights, presenting findings to senior stakeholders to inform strategic decisions
- Monitor and evaluate performance of key lending portfolios, comparing observed outcomes against expected results to identify opportunities and risks
- Collaborate closely with teams across pricing, underwriting, and data science to deliver cohesive, data-driven solutions
- Streamline and automate repeatable analytical tasks, improving efficiency and scalability of pricing operations
- Leverage tools like SQL, Excel, and specialist analytics platforms to conduct deep-dive pricing analysis and monitor market trends
- Build and maintain robust pricing models that optimise customer value and commercial performance
- Support strategic pricing initiatives, working alongside senior team members to shape Amplifi Capital's competitive positioning
- Contribute to a culture of data-driven decision making, ensuring insights are embedded into everyday business processes
Requirements
- Recent STEM (preferred) University Graduate
- Full Right to Work in the United Kingdom without requiring employment sponsorship
- Strong analytical mindset with a passion for solving complex problems using data
- Foundational knowledge of statistics and data analysis, ideally gained through academic or internship experience
- Proficiency in Excel for data manipulation, modelling, and reporting
- Basic SQL skills (or willingness to learn) to extract and analyse data from large datasets
- Interest in pricing strategy and financial modelling, particularly in the context of consumer lending
- Ability to communicate insights clearly, both verbally and in writing, to technical and non-technical audiences
- Collaborative approach, with a willingness to work closely with pricing, underwriting, and data science teams
- Attention to detail and a commitment to producing high-quality, accurate work
- Curiosity about market trends and customer behaviour, and how these influence pricing decisions
- Eagerness to learn and grow, with support from experienced analysts and senior leaders
Bonus Points For:
- Exposure to Python, R, or other data science tools
- Experience with data visualisation tools (e.g., Power BI, Tableau)
- Understanding of consumer finance or lending products
- Experience working with large datasets or in a regulated environment
Benefits
- Salary - between £30,000 - £35,000
- 25 days annual leave
- Pension
- Death in Service Provision
- Private health insurance
- Subsidised Childcare
- Subsidised Gym Membership
- Hybrid working (2 days from home)
Commitment:
We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.
Please note that all offers of employment are conditional on us obtaining satisfactory pre-employment checks, including a DBS check, a credit check and employment references.
