At a Glance
- Tasks: Deliver insights and analytics to improve customer strategies in financial assistance.
- Company: Join Starling, a forward-thinking digital bank on a mission for fairer banking.
- Benefits: Enjoy competitive salary, flexible working, and comprehensive benefits including private medical insurance.
- Why this job: Make a real impact on the future of banking while developing your skills in a supportive environment.
- Qualifications: Experience in data analytics or modelling within UK retail banking is essential.
- Other info: Be part of a diverse team committed to innovation and excellence.
The predicted salary is between 36000 - 60000 £ per year.
At Starling, we are on a mission to provide people with a fairer, smarter, and more human alternative to traditional banks. We are building a leading digital bank, driven by fast technology, fair service, and honest values. Our vision is to create a banking industry that serves everyone, which we accomplish by developing best-in-class proprietary technology, offering an exceptional customer experience, and establishing a strong, sustainable business. Our five core values - Listen, Keep It Simple, Do The Right Thing, Own It, and Aim for Greatness - are at the heart of everything we do, guiding our strategy and shaping our culture. We're a branchless, largely paperless bank, committed to responsible banking, sustainability, and fostering an inclusive environment where everyone can thrive.
Hybrid working: All Starling colleagues spend a minimum of 10 days per month in the office with flexibility to work the rest from home.
The Financial Assistance Data, Modelling & Analytics Specialist is responsible for delivering high-quality portfolio, customer, and strategy insights across the Customer in Financial Difficulty (CiFD) cycle. The role provides analytical leadership across segmentation, customer treatment monitoring, model development and management, and the identification of customer behaviours, patterns, and trends to inform evidence-based strategy and decision-making. The role plays a critical part in ensuring that CiFD customer strategies are effective, compliant, fair, and deliver good customer outcomes in line with Consumer Duty, regulatory expectations, and the Bank's risk appetite.
Key Accountabilities
- Deliver portfolio and strategy performance insights across the CIFD journey, identifying trends, risks, and opportunities to optimise outcomes.
- Monitor the effectiveness, fairness, and outcomes of customer treatments, including vulnerable customer cohorts, in line with Consumer Duty and FCA expectations.
- Develop and maintain customer segmentation frameworks to enable differentiated, insight-led CiFD customer strategies.
- Design, develop, manage, and monitor analytical and predictive models supporting decision-making across the CiFD journey.
- Identify customer behaviours, patterns, and macroeconomic trends to inform proactive strategy and treatment enhancements.
- Translate complex analytical outputs into clear, actionable recommendations for senior stakeholders and decision forums.
- Ensure all analytics and modelling activity complies with data governance, model risk management, and regulatory requirements.
Requirements Competencies & Skills
- Strong experience in data, analytics, or modelling within Collections, Recoveries, Credit Risk, or Financial Assistance in a UK retail banking environment.
- Proven experience delivering portfolio and strategy insights using large, complex datasets.
- Experience developing and managing analytical or predictive models.
- Strong understanding of pre-arrears, customer arrears, forbearance, default, and recovery processes.
- Ability to translate complex analysis into clear, actionable insight for senior stakeholders.
- Strong stakeholder management and communication skills.
- Knowledge of FCA regulatory expectations relating to Collections & Recoveries and Consumer Duty.
- Experience with segmentation design and behavioural analytics.
- Exposure to vulnerability analytics or outcomes testing.
- Familiarity with Model Risk Management frameworks.
Benefits
- Make an Impact: Work on projects that directly shape the future of banking and improve the financial lives of our customers.
- Culture of Excellence: Be part of a collaborative, empowered, and forward-thinking team.
- Growth and Development: We are committed to your professional growth, offering opportunities to learn new technologies, take on new challenges, and own interesting things from day one.
- A Bank That Cares: We're a Living Wage employer, committed to flexible working, and dedicated to creating a fair, open, and safe working environment with compassion and inclusion at its core.
- Comprehensive Benefits: We offer a competitive salary and a comprehensive benefits package.
Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace.
Financial Assistance Data, Modelling & Analytics Specialist in Manchester employer: Starling
Contact Detail:
Starling Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Assistance Data, Modelling & Analytics Specialist in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Starling. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Prepare for interviews by diving deep into Starling's values. Show us how you embody 'Do The Right Thing' and 'Aim for Greatness' in your work.
✨Tip Number 3
Practice your data storytelling skills. We want to see how you can turn complex analytics into clear insights that drive decisions. Make it relatable!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows you're serious about joining our team.
We think you need these skills to ace Financial Assistance Data, Modelling & Analytics Specialist in Manchester
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Financial Assistance Data, Modelling & Analytics Specialist role. Highlight your experience in data analytics and how it aligns with Starling's mission to provide fair and smart banking solutions.
Showcase Relevant Skills: Emphasise your skills in developing analytical models and delivering insights from complex datasets. We want to see how you can translate those insights into actionable strategies that align with our values of doing the right thing and aiming for greatness.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to explain your experiences and achievements, making it easy for us to see how you can contribute to our team and the customer journey.
Apply Through Our Website: We encourage you to submit your application directly through our website. This way, you’ll ensure that your application reaches us promptly and you can easily track its progress. Plus, it’s the best way to show your enthusiasm for joining Starling!
How to prepare for a job interview at Starling
✨Know Your Numbers
As a Financial Assistance Data, Modelling & Analytics Specialist, you'll be dealing with complex datasets. Brush up on your data analysis skills and be ready to discuss specific examples of how you've used data to drive insights in previous roles. This will show your analytical prowess and understanding of the banking landscape.
✨Understand the Regulatory Landscape
Familiarise yourself with FCA regulations and Consumer Duty expectations. Be prepared to discuss how these impact customer treatment strategies. Showing that you understand compliance and can navigate regulatory requirements will demonstrate your readiness for the role.
✨Translate Complexity into Clarity
Practice explaining complex analytical concepts in simple terms. You might be asked to present findings to senior stakeholders, so being able to communicate effectively is key. Use examples from your past experiences where you successfully translated data insights into actionable recommendations.
✨Embrace the Company Values
Starling Bank values 'Listen', 'Keep It Simple', 'Do The Right Thing', 'Own It', and 'Aim for Greatness'. Think of examples from your career that align with these values. Demonstrating that you embody these principles will resonate well with the interviewers and show that you're a cultural fit.