Senior Credit Risk Analyst
Senior Credit Risk Analyst

Senior Credit Risk Analyst

Manchester Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Shape the future of lending portfolios through data-driven credit decision optimisation.
  • Company: Join Starling, a disruptive UK bank revolutionising how people manage their money.
  • Benefits: Enjoy 25 days holiday, private medical insurance, and wellness perks.
  • Why this job: Make a real impact in a fast-paced environment while collaborating with diverse teams.
  • Qualifications: Solid analytical experience in unsecured lending and proficiency in SQL required.
  • Other info: We value diversity and encourage applicants from all backgrounds to apply.

The predicted salary is between 48000 - 72000 £ per year.

Overview

Hello, we\’re Starling. We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We\’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We\’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

As a Senior Credit Risk Analyst, you\’ll play a key role in shaping the future of our lending portfolios. You’ll be at the forefront of credit decision optimisation, using data-driven insights to refine our strategies across the credit risk lifecycle. You’ll help ensure lending decisions remain accurate, responsible, and aligned with our risk appetite and business goals, while supporting growth, customer outcomes and regulatory expectations. This is a high-impact role where your analytical expertise and curiosity will directly influence our ability to lend safely and fairly.

Responsibilities

  • Develop expert understanding of new business originations and in-life credit risk management, including all aspects of credit decisioning and customer journeys
  • Optimise our credit underwriting – both automated and manual – to improve accuracy, efficiency, and control
  • Monitor and evaluate strategy performance, including underwriting, limit changes to drive performance improvements
  • Investigate and develop new data sources to enhance insight and decision capability
  • Build and maintain datasets, dashboards and MI to support data-driven strategy decisions
  • Support business growth and profitability while balancing risk, reward and responsible lending
  • Work closely with 2LoD Credit Risk and Compliance to ensure strategies align with risk appetite and regulatory expectations
  • Collaborate with Product, Data and Engineering teams to deliver rapid, safe implementation of credit rules and enhancements
  • Produce thoughtful, actionable analysis and clear recommendations for decision-makers

Requirements

  • Solid experience in an analytical role within unsecured lending (retail or SME)
  • Proficiency in SQL (essential), with working knowledge of Python, SAS or similar
  • Strong background in credit analytics. Experience with decisioning systems and rule optimisation is a plus
  • A deep understanding of credit reference agency data and how to leverage it effectively
  • Experience working with credit MI and KPIs (e.g. loss rates, delinquency, vintage curves)
  • A track record of using data to inform business decisions and improve lending outcomes
  • Exposure to regulatory standards relevant to credit risk (e.g. CONC) is a plus

Behaviours & Competencies

  • Strong interpersonal and stakeholder communication skills
  • Strong desire to solve problems – using regulation and data to drive business decisions
  • Ability to analyse and interpret complex information and translate into practical action
  • Hands-on, resilient and adaptable in a fast-moving and evolving environment
  • Naturally curious, proactive, and biased toward action
  • Strong commercial awareness and understanding of portfolio dynamics
  • A true team player with a collaborative approach to stakeholder engagement

Benefits

  • 25 days holiday (plus take your public holiday allowance whenever works best for you)
  • An extra day’s holiday for your birthday
  • Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off
  • 16 hours paid volunteering time a year
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary & group income protection
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Incentivised refer a friend scheme
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

About Us

You may be put off applying for a role because you don’t tick every box. Forget that! While we can’t accommodate every flexible working request, we’re always open to discussion. So, if you’re excited about working with us, but aren’t sure if you’re 100% there yet, get in touch anyway.

We’re on a mission to radically reshape banking – and that starts with our brilliant team. Whatever came before, we’re proud to bring together people of all backgrounds and experiences who love working together to solve problems.

Starling Bank is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.

By submitting your application, you agree that Starling Bank may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.

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Senior Credit Risk Analyst employer: Starling Bank

At Starling Bank, we pride ourselves on being a forward-thinking employer that combines the best of banking with the innovative spirit of a tech company. Our culture fosters collaboration and inclusivity, offering employees ample opportunities for growth and development in a dynamic environment. With generous benefits such as enhanced holiday allowances, private medical insurance, and a commitment to work-life balance, we empower our team to thrive both personally and professionally while reshaping the future of banking.
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Contact Detail:

Starling Bank 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 analytics. Understanding how data-driven insights are shaping lending strategies will help you demonstrate your knowledge during interviews.

✨Tip Number 2

Network with professionals in the banking and finance sector, especially those working in credit risk. Engaging with industry experts can provide valuable insights and potentially lead to referrals for the position.

✨Tip Number 3

Brush up on your SQL skills and consider taking a short course in Python or SAS if you're not already proficient. Being able to showcase your technical abilities will set you apart from other candidates.

✨Tip Number 4

Prepare to discuss specific examples of how you've used data to inform business decisions in previous roles. Highlighting your analytical expertise and problem-solving skills will resonate well with the hiring team.

We think you need these skills to ace Senior Credit Risk Analyst

SQL Proficiency
Python or SAS Knowledge
Credit Analytics Expertise
Decisioning Systems Experience
Credit Reference Agency Data Understanding
Credit MI and KPI Analysis
Data-Driven Decision Making
Regulatory Standards Awareness (e.g. CONC)
Strong Interpersonal Skills
Stakeholder Communication
Problem-Solving Skills
Complex Information Analysis
Adaptability in Fast-Paced Environments
Commercial Awareness
Collaborative Team Player

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in credit risk analysis and analytics. Use keywords from the job description, such as 'SQL', 'credit decision optimisation', and 'data-driven insights' to demonstrate your fit for the role.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for Starling Bank and the Senior Credit Risk Analyst position. Discuss how your analytical skills and experience align with their mission to reshape banking and improve lending outcomes.

Showcase Relevant Skills: Emphasise your proficiency in SQL and any experience with Python or SAS. Highlight your understanding of credit reference agency data and your ability to analyse complex information, as these are crucial for the role.

Demonstrate Problem-Solving Abilities: Provide examples in your application that showcase your problem-solving skills and how you've used data to inform business decisions. This will resonate well with Starling's focus on using regulation and data to drive outcomes.

How to prepare for a job interview at Starling Bank

✨Showcase Your Analytical Skills

As a Senior Credit Risk Analyst, your analytical expertise is crucial. Be prepared to discuss specific examples of how you've used data to inform business decisions and improve lending outcomes. Highlight your experience with SQL and any other relevant tools like Python or SAS.

✨Understand the Company’s Culture

Starling Bank prides itself on being a disruptive tech company with a focus on fairness and customer outcomes. Familiarise yourself with their mission and values, and be ready to explain how your personal values align with theirs during the interview.

✨Prepare for Technical Questions

Expect questions that assess your understanding of credit risk management and decisioning systems. Brush up on your knowledge of credit reference agency data and regulatory standards relevant to credit risk, as these are key areas for the role.

✨Demonstrate Collaboration Skills

The role involves working closely with various teams, including Product, Data, and Engineering. Be ready to share examples of how you've successfully collaborated in the past, showcasing your strong interpersonal and stakeholder communication skills.

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