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 wellness perks.
- 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.
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 3,500 people across our London, Southampton, Cardiff, and Manchester offices.
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 first-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 third-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, Mr&Mrs 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.
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 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 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.
Credit Analytics Lead - Credit Risk in Manchester employer: Starling
Contact Detail:
Starling Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Analytics Lead - Credit Risk in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their approach to credit risk and think about how your skills can contribute. This will help you stand out and show you're genuinely interested.
✨Tip Number 3
Practice your pitch! Be ready to explain your experience in credit analytics clearly and confidently. Highlight specific projects where you've made an impact, especially those that align with the role at Starling.
✨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 you’re serious about joining our mission to reshape banking.
We think you need these skills to ace Credit Analytics Lead - Credit Risk in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Credit Analytics Lead role. Highlight your experience in credit risk and data analytics, and don’t forget to mention any relevant tools like Python or SQL that you’ve used.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your skills align with our mission at Starling. Keep it engaging and personal.
Showcase Your Achievements: When detailing your experience, focus on specific achievements rather than just responsibilities. Use numbers and examples to demonstrate how you've made an impact in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Starling
✨Know Your Credit Risk Stuff
Make sure you brush up on your credit risk knowledge before the interview. Understand the full lending journey and be ready to discuss your experience with credit assessment and analytics. This will show that you're not just familiar with the concepts but can also apply them practically.
✨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 identify trends or solve problems in previous roles. This will demonstrate your technical prowess and analytical mindset.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical credit risk scenarios. Think about how you would approach investigations into lending portfolios or address areas of concern. Practising these types of questions can help you articulate your thought process clearly during the interview.
✨Be Ready to Discuss Regulations
Familiarise yourself with current and future regulations like CONC and MCOB. Be prepared to discuss how these regulations impact credit risk management. Showing that you understand the regulatory landscape will highlight your expertise and commitment to compliance in the banking sector.