Senior Credit Risk Analyst

Reposted 20 Hours Ago
Be an Early Applicant
London, Greater London, England
In-Office
Mid level
Fintech • Financial Services
Building a fairer financial community.
The Role
The Senior Credit Risk Analyst will optimize credit risk strategies through data analyses, model implementation, fraud prevention, and collaboration with teams to drive performance and insights.
Summary Generated by Built In

About Us:

One-third of the UK’s working-age population is unable to access mainstream financial services. These individuals are excluded from affordable credit and underserved by traditional financial institutions. Our purpose is “To improve the nation’s financial health through accessibility, affordability, and community.”

We are a fast-growing social FinTech company, empowering not-for-profit Credit Unions in the UK with cutting-edge technology. Our goal is to transform a select group of Community Lenders into a network of challenger banks that provide a viable alternative to high-cost lenders.

With a team of over 200 people and more than 180,000 active customers, Amplifi is a data-driven business with strong ambitions and a proven platform. We are led by a senior team with decades of experience across institutions such as Credit Suisse, UBS, NatWest, Capital One, NewDay and Barclays.


The Role:

At Amplifi, data lies at the heart of all strategies. As a fintech in the consumer lending space we strongly believe that innovative use of data and technology are key to delivering on our strategic objectives. As a Credit Risk Senior Analyst, you will play a key role in optimising our credit risk strategies and ensuring robust decision-making that supports sustainable growth and excellent customer outcomes.

This role focuses on analysing customer data, evaluating credit risk policies, forecasting and monitoring portfolio performance to identify areas for improvement. You will also contribute to fraud detection and prevention strategies, leveraging your skills to protect both the business and our customers.

Working closely with the Credit Risk Manager and collaborating with teams across product, pricing, data science, and operations, you will develop actionable insights that inform decision-making and drive business performance.

Key Responsibilities:

  • Lead complex analyses of credit risk policies and portfolio performance, providing actionable insights to optimise risk management strategies.
  • Support the development and implementation of credit risk models and decision systems, ensuring they align with business goals.
  • Take ownership of key metrics related to credit risk and fraud, identifying trends and recommending improvements to strategies and policies.
  • Drive fraud analytics by identifying and analysing patterns related to first-, second-, and third-party fraud, working with the Fraud team as needed.
  • Influence senior stakeholders through the presentation of analysis and recommendations in order to drive impactful change.
  • Collaborate with the data engineering and product teams to enhance data quality and ensure efficient integration of credit risk tools and systems.
  • Support in testing and validating new credit risk tools, processes, and decision-making frameworks.
  • Stay updated on industry trends, fraud prevention techniques, and regulatory changes, sharing relevant insights with the team.
  • Mentor and support junior analysts, fostering a culture of analytical excellence and continuous development within the team.

Requirements

This is a significant role in the analytics team of a fast-growing business and hence the ideal candidate would be someone who:

  • Is passionate about data, analytics, and credit risk management.
  • Is proactive, self-motivated, and comfortable working in a dynamic environment.
  • Has excellent communication skills, capable of presenting complex insights to both technical and non-technical audiences.

To be successful, you should have:

  • 3-5+ years of experience in credit risk, fraud analytics, or a related field, ideally within consumer lending.
  • Strong proficiency in SQL to query and extract insights from large datasets; experience with Python is a big plus.
  • Advanced Excel skills, including the ability to work with complex formulas, pivot tables, and data analysis tools.
  • A solid grounding in probability and statistics
  • A solid understanding of credit risk decisioning, strategies, and affordability assessment methodologies.
  • Experience in creating data monitoring and KPIs with tools like PowerBI/Tableau or similar
  • Familiarity with fraud detection and prevention techniques, as well as UK bureau data (e.g., Experian, Equifax, or TransUnion).
  • Excellent analytical and problem-solving skills, with attention to detail and a data-driven approach.
  • A degree in a numerate discipline (e.g., Mathematics, Statistics, Economics, or STEM) or equivalent practical experience.

Also Desirable:

  • Experience working with decision systems and credit scoring models.
  • Modelling experience, applied to Financial Services
  • Experience working in a scale-up or high-growth environment.

Benefits
  • Competitive salary
  • 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.

Top Skills

Excel
Power BI
Python
SQL
Tableau
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: London
125 Employees
Year Founded: 2018

What We Do

Amplifi Capital (U.K.) Limited is a FinTech disrupter in near-prime lending. Near-prime borrowers don’t have the credit score to qualify for the best, or “prime”, interest rates, but are much closer to this than “sub-prime”. PwC identify Near-Prime as the most underserved segment in the UK – its 16 million members struggle to access both mainstream lending and the solutions that exist in the sub-prime sector.

Amplifi Capital (U.K.)'s ambition to be the biggest Near-Prime lender in the UK and turn this group from under-served to brilliantly served, with innovative technological solutions that work for them. Our two customer facing brands making this possible are:

1) My Community Finance, which allows customers to access credit through our network of Credit Unions. Credit Unions are not-for-profit financial institutions, whose unique regulatory structure means they can offer competitive and fair lending rates.

2) Reevo Money, which is our own consumer lending platform and complements our Credit Union offering by enabling us to access additional groups such as new to credit, adverse credit scores and gig economy workers.

With 3 years of significant, profitable growth under our belt, plus an ambitious pipeline of future plans, it is an exciting time to join Amplifi Capital (U.K.) Limited. We are always on the lookout for bright, passionate people – if this sounds like you check out our job vacancies or get in touch with your CV.

https://www.mycommunityfinance.co.uk/

https://www.reevomoney.com/

Similar Jobs

In-Office
Clayton-le-Moors, Hyndburn, Lancashire, England, GBR
14279 Employees
In-Office
Clayton-le-Moors, Hyndburn, Lancashire, England, GBR
14279 Employees
In-Office
Holme, Huntingdonshire, Cambridgeshire, England, GBR
2722 Employees

Similar Companies Hiring

Camber Thumbnail
Social Impact • Healthtech • Fintech
New York, NY
53 Employees
Rain Thumbnail
Web3 • Payments • Infrastructure as a Service (IaaS) • Fintech • Financial Services • Cryptocurrency • Blockchain
New York, NY
40 Employees
Scotch Thumbnail
Software • Retail • Payments • Fintech • eCommerce • Artificial Intelligence • Analytics
US
25 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account