At a Glance
- Tasks: Analyse and optimise customer lending strategies using data-driven insights.
- Company: Join a diverse and inclusive financial services company committed to innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and career development.
- Why this job: Make a real impact on customer outcomes and business performance through analytics.
- Qualifications: Degree or equivalent experience with strong analytical skills and SQL proficiency.
The predicted salary is between 40000 - 50000 £ per year.
As a Specialist Analyst in customer lending, you’ll deliver the analysis and optimisation of customer portfolio strategies across areas such as credit limit increases, limit decreases, and spend authorisation. Using data driven insight, you’ll help improve business performance, enhance customer outcomes, and influence strategic decision making.
How You’ll Contribute
- Help shape and optimise customer lending strategies across our products, balancing customer outcomes, business goals, and changing economic conditions.
- Develop and enhance reporting and monitoring to identify emerging trends, deliver clear insights, and support data-driven decisions at Senior Leadership level.
- Use SQL and data visualisation tools to turn complex data into clear, actionable insights that drive portfolio performance improvements and enable faster, more insight-led strategy decisions.
- Build strong cross functional relationships across the Credit Function and wider business, encouraging collaboration, knowledge sharing, and continuous improvement.
We're Looking For These Essential Skills
- Degree educated or equivalent experience, with a strong analytical and numerate background.
- Confident using SQL on a daily basis to analyse data, uncover insights, and support decision-making.
- Strong analytical skills with the ability to identify trends, solve problems, and communicate findings clearly to a range of stakeholders.
- Advanced MS Office skills, particularly in Excel, with experience working with large and complex datasets.
- A proactive and curious mindset, with a collaborative approach, creative thinking, and a genuine drive to make an impact.
It’s a plus if you also have these skills
- Experience within financial services and a foundation in risk analytics, ideally within consumer lending.
- Development and implementation of credit risk strategies in a fast-paced environment.
- Familiarity with AI co-working tools such as Claude Co-Work.
- Comfort using visualisation tools such as Power BI and Tableau.
- Proficiency in Python for data analysis.
At NewDay, we value all types of diversity. We’re an equal opportunity employer and believe that our differences create a vibrant, authentic working culture. We want all our colleagues to feel able to bring their whole selves to work. We don’t discriminate on the basis of protected characteristics or identities. We make sure that every job is crafted to be inclusive and that people with disabilities or caring responsibilities can take part in the application and interview process. Tell us if you need accommodations: We’ll put reasonable adjustments in place to support you. We work with Textio to make our job design and hiring inclusive.
Permanent
Lending Portfolio Analytics Specialist employer: NewDay
At NewDay, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. As a Lending Portfolio Analytics Specialist, you will have access to extensive professional development opportunities, enabling you to grow your analytical skills while contributing to impactful customer lending strategies. Our commitment to diversity and inclusion ensures that every employee feels valued and empowered to bring their authentic selves to work, making it a truly rewarding environment in which to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Lending Portfolio Analytics Specialist
✨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 refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use examples from your experience to demonstrate how you've used data to drive decisions and improve outcomes.
✨Tip Number 3
Show off your SQL skills! Be ready to discuss how you've used SQL in past roles to analyse data and uncover insights. This is key for a Lending Portfolio Analytics Specialist, so make it shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Lending Portfolio Analytics Specialist
Some tips for your application 🫡
Show Off Your Analytical Skills:Make sure to highlight your analytical and numerate background in your application. We want to see how you've used data to drive decisions in the past, so share specific examples that showcase your skills!
Get Technical with SQL:Since SQL is a big part of this role, don’t shy away from mentioning your experience with it. If you’ve tackled complex datasets or created insightful reports, let us know how you did it and what impact it had!
Communicate Clearly:We love clear communication! When writing your application, make sure to convey your findings and insights in a straightforward way. Think about how you can explain complex ideas simply, as if you're talking to someone who isn’t a data whiz.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to showcase your skills directly where we’re looking. Don’t miss out on the opportunity to join our team!
How to prepare for a job interview at NewDay
✨Know Your Data Tools
Make sure you're comfortable with SQL and any data visualisation tools mentioned in the job description, like Power BI or Tableau. Brush up on your skills and be ready to discuss how you've used these tools to analyse data and drive insights in previous roles.
✨Showcase Your Analytical Skills
Prepare examples that highlight your analytical prowess. Think of specific instances where you identified trends or solved complex problems using data. Be ready to explain your thought process and how your findings influenced decision-making.
✨Understand the Business Context
Familiarise yourself with the lending landscape and current economic conditions. This will help you speak knowledgeably about how customer outcomes can be balanced with business goals. Showing that you understand the bigger picture will impress your interviewers.
✨Emphasise Collaboration
Since the role involves building strong cross-functional relationships, be prepared to discuss your experience working collaboratively. Share examples of how you've encouraged knowledge sharing and continuous improvement in past roles, as this aligns with the company's values.
