Credit Analytics Lead - Credit Risk
Credit Analytics Lead - Credit Risk

Credit Analytics Lead - Credit Risk

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data analytics in credit risk and provide insights on lending portfolios.
  • Company: Join Starling, a disruptive tech bank transforming how people manage money.
  • Benefits: Enjoy 25 days holiday, private medical insurance, and flexible working options.
  • Why this job: Make a real impact in reshaping banking with innovative analytics.
  • Qualifications: Experience in credit risk and strong data analytics skills required.
  • Other info: Diverse and inclusive workplace with excellent career growth opportunities.

The predicted salary is between 36000 - 60000 £ per year.

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 employ more than 3,500 people across our London, Southampton, Cardiff and Manchester offices.

As a Credit Analytics Lead in the Credit Risk team, you will be a senior team member with previous credit experience. You will work across all of Starling's portfolios (Mortgage, SME and unsecured) and all aspects of the lending journey, including underwriting/origination, portfolio management, portfolio analysis and Collections/Recoveries. If you’re ambitious, inquisitive, proactive and want to learn more, we want to hear from you.

Key responsibilities
  • Leading on data analytics within credit risk, providing timely analytics and insight on lending portfolios.
  • Leading investigations into areas of concern and challenge on all relevant 1st line lending activities from a credit risk perspective.
  • Covering the entire credit risk cycle across all lending products including organic and inorganic lending.
  • Acting as an expert in credit risk across the full lending journey.
  • Lead on the development, maintenance and monthly management of the Bank’s credit risk appetite.
  • Support due diligence on any 3rd party outsourcers and/or portfolio acquisitions.
  • Support both 1LOD and 2LOD teams with key projects as required.
  • Support the preparation and submission of reporting to credit committees through credit expertise and market insights.
  • Support the development of the credit risk team through providing training and coaching to colleagues within the team.
  • Driving best practice in the bank's approach to credit management on its lending activities.
Qualifications
  • Substantial experience in credit risk, either in a second line environment or in a first line lending function with experience in credit assessment/risk.
  • Specifically in technical analytics roles (e.g. portfolio management, strategy or model development).
  • Excellent attention to detail and an ability to identify trends, issues or opportunities from information to hand (both qualitative and quantitative).
  • Data analytics background, preferably using Python / SQL (although evidencing transferable skills from other software (e.g. SAS) is acceptable).
  • Technical and interpersonal skills, with an ability to articulate challenge, both verbally and in written reports and be challenged constructively.
  • Understanding and experience in arrears, collections and recoveries for retail and/or SME lending products.
  • Understanding and working knowledge of current and future regulations, e.g. CONC, MCOB.
  • Experienced in using Excel/Google Sheets, Word/Google Docs, Powerpoint/Google slides and preferably familiar with analytics tools such as Looker / Github / BigQuery.
  • Organised, flexible and adaptable, with the ability to switch between tasks seamlessly.
  • Proven and proactive self-starter.
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, MrMrs Smith and Peloton.
  • Generous family-friendly policies.
  • Incentives 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.

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 is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace.

Credit Analytics Lead - Credit Risk employer: Starling Bank

At Starling, we pride ourselves on being a forward-thinking bank that combines the best of technology with a supportive and inclusive work culture. As a Credit Analytics Lead, you'll benefit from generous holiday allowances, a comprehensive benefits package including private medical insurance, and ample opportunities for professional growth within a dynamic team dedicated to reshaping the banking experience. Join us in our mission to make banking fairer and more accessible while enjoying a workplace that values diversity and encourages innovation.
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Contact Detail:

Starling Bank Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Credit Analytics Lead - Credit Risk

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current Starling employees on LinkedIn. A friendly chat can open doors that applications alone can't.

✨Tip Number 2

Prepare for interviews by diving deep into Starling's values and recent projects. Show us you’re not just another candidate; demonstrate your passion for reshaping banking and how your skills align with our mission.

✨Tip Number 3

Practice your storytelling! Be ready to share specific examples of your credit risk experience and how you've tackled challenges in the past. We love hearing about your journey and what makes you tick.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in being part of the Starling family.

We think you need these skills to ace Credit Analytics Lead - Credit Risk

Credit Risk Analysis
Data Analytics
Python
SQL
Portfolio Management
Credit Assessment
Attention to Detail
Communication Skills
Regulatory Knowledge (CONC, MCOB)
Excel
Google Sheets
PowerPoint
Looker
Adaptability
Coaching and Training

Some tips for your application 🫡

Show Your Passion for Credit Risk: When writing your application, let your enthusiasm for credit risk shine through! We want to see how your experience aligns with our mission to reshape banking and how you can contribute to our innovative approach.

Be Specific About Your Experience: Don’t just list your previous roles; dive into the specifics of your credit analytics experience. Highlight any projects where you’ve led data analysis or tackled challenges in lending portfolios. We love details!

Tailor Your Application: Make sure to tailor your application to the role of Credit Analytics Lead. Use keywords from the job description and demonstrate how your skills in Python, SQL, or other analytics tools make you a perfect fit for our team.

Keep It Clear and Concise: While we appreciate detail, clarity is key! Make your application easy to read by using clear language and structured formatting. A well-organised application shows us you’re ready to tackle the role head-on.

How to prepare for a job interview at Starling Bank

✨Know Your Credit Risk Stuff

Make sure you brush up on your credit risk knowledge before the interview. Understand the entire lending journey, from underwriting to collections. Be ready to discuss your previous experiences and how they relate to the role at Starling.

✨Show Off Your Data Skills

Since this role involves a lot of data analytics, be prepared to talk about your experience with Python, SQL, or any other relevant tools. Bring examples of how you've used data to drive insights in your past roles, especially in credit assessment or portfolio management.

✨Prepare for Scenario Questions

Expect questions that ask you to solve hypothetical problems related to credit risk. Think about how you would handle specific situations, such as identifying trends in lending portfolios or addressing areas of concern. Practising these scenarios can help you articulate your thought process clearly.

✨Be Ready to Discuss Team Dynamics

As a Credit Analytics Lead, you'll be expected to support and develop your team. Prepare to share your thoughts on leadership and coaching. Think of examples where you've successfully trained or mentored colleagues, and how you foster collaboration within a team.

Credit Analytics Lead - Credit Risk
Starling Bank

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