At a Glance
- Tasks: Analyse customer data and optimise credit risk strategies for sustainable growth.
- Company: Join a fast-growing social FinTech transforming financial accessibility in the UK.
- Benefits: Enjoy competitive salary, 25 days leave, hybrid working, and health perks.
- Why this job: Make a real impact on financial health while working with cutting-edge technology.
- Qualifications: 3-5 years in credit risk or fraud analytics; strong SQL and analytical skills required.
- Other info: Mentorship opportunities available; work in a dynamic, supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
4 days ago Be among the first 25 applicants
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.
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.
Seniority level
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Mid-Senior level
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Job function
Finance and Sales
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Senior Credit Risk Analyst employer: Amplifi Capital
Contact Detail:
Amplifi Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Credit Risk Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in credit risk management and fraud analytics. Being well-versed in current industry practices will not only help you during interviews but also demonstrate your commitment to staying updated in this fast-paced field.
✨Tip Number 2
Network with professionals in the fintech and credit risk sectors. Attend relevant events or webinars, and connect with people on platforms like LinkedIn. This can provide valuable insights into the company culture at Amplifi and may even lead to referrals.
✨Tip Number 3
Prepare to discuss specific examples of how you've used data to drive decision-making in previous roles. Highlighting your analytical skills and experience with tools like SQL and Python will show that you're a strong fit for the Senior Credit Risk Analyst position.
✨Tip Number 4
Understand Amplifi's mission and values deeply. Be ready to articulate how your personal values align with their goal of improving financial health through accessibility and community support. This alignment can set you apart from other candidates.
We think you need these skills to ace Senior Credit Risk Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in credit risk, fraud analytics, and data analysis. Use specific examples that demonstrate your skills in SQL, Python, and Excel, as well as your understanding of credit risk decisioning.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and analytics, and explain how your background aligns with Amplifi's mission to improve financial health. Mention your experience in mentoring junior analysts and collaborating across teams.
Showcase Analytical Skills: Provide concrete examples of how you've used data to drive business decisions or improve processes in previous roles. Highlight any experience with fraud detection techniques and your ability to present complex insights to various audiences.
Research the Company: Familiarise yourself with Amplifi's goals and values. Understanding their focus on accessibility and community will help you align your application with their mission and demonstrate your genuine interest in the role.
How to prepare for a job interview at Amplifi Capital
✨Show Your Passion for Data
As a Senior Credit Risk Analyst, it's crucial to demonstrate your enthusiasm for data and analytics. Be prepared to discuss specific projects where you've used data to drive decision-making and improve outcomes.
✨Understand the Company’s Mission
Amplifi is focused on improving financial health through accessibility and affordability. Familiarise yourself with their mission and be ready to explain how your values align with theirs during the interview.
✨Prepare for Technical Questions
Expect questions related to credit risk management, SQL proficiency, and fraud analytics. Brush up on your technical skills and be ready to provide examples of how you've applied them in previous roles.
✨Demonstrate Stakeholder Influence
The role involves influencing senior stakeholders. Prepare examples of how you've successfully presented complex analyses and recommendations in the past, showcasing your communication skills and ability to drive change.