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- Tasks: Lead the redesign of operational reporting and drive data-driven improvements.
- Company: Dynamic fintech company focused on innovation and efficiency.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with strong potential for career advancement.
- Why this job: Shape impactful decisions and enhance customer outcomes through data insights.
- Qualifications: Advanced SQL skills and experience with BI tools required.
The predicted salary is between 55000 - 65000 £ per year.
Overview
You will operate as a senior analytical partner to Collections leadership, owning key performance areas and driving step changes in reporting quality and scalability. The focus is not just on producing MI, but on redefining it. You will assess existing reporting frameworks, identify gaps or inconsistencies and design scalable, well governed metric structures that support better decision making. You will work within the Collections function, partnering closely with Operations and Lending stakeholders. You will influence senior stakeholders and proactively identify where insight can unlock efficiency, improve customer outcomes or reduce risk. This role suits someone who thrives in ambiguity, enjoys shaping problem statements and wants to drive measurable operational impact.
Responsibilities
- Lead the redesign and scaling of operational MI frameworks
- Define and standardise key metrics across Collections and Recoveries
- Conduct deep analytical investigations into credit performance, operational effectiveness and customer outcomes
- Translate complex datasets into clear recommendations for senior stakeholders
- Identify structural inefficiencies and propose data‑driven improvements
- Partner with Operations, Risk and Product teams on cross‑functional initiatives
- Improve data quality, governance and metric consistency
Qualifications
- Advanced SQL skills and strong experience working with large, complex datasets
- Strong experience with BI tools and dashboard design best practice
- Proven track record of owning analytical problem areas from diagnosis to delivery
- Experience influencing senior stakeholders and presenting in high‑visibility settings
- Comfortable working with ambiguous problem statements and shaping analytical approach
- Strong commercial awareness and ability to quantify trade‑offs
- Structured thinker who balances detail with strategic perspective
- Proactive and confident in challenging assumptions constructively
Nice to have: experience within fintech, banking or regulated operational environments and experience leading reporting transformation or large‑scale MI rebuilds.
Success Criteria
- A clear step change in the quality and scalability of operational MI
- Building well defined, impact‑focused reporting that tells a clear performance story and drives decision‑making
- Operational decisions increasingly driven by robust data and insight
- Measurable improvements in efficiency, performance or customer outcomes
- Strong stakeholder trust and influence at senior levels
Senior Analyst - Lending Operations employer: Zopa Bank Limited
Contact Detail:
Zopa Bank Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analyst - Lending Operations
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in collections or lending operations. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your analytical skills in interviews! Be ready to discuss how you've tackled complex datasets and improved reporting frameworks in the past. Use specific examples to demonstrate your impact.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Check out our website for roles that excite you and fit your skill set. Tailor your approach to each opportunity!
✨Tip Number 4
Prepare for those tricky questions! Think about how you would handle ambiguity and shape problem statements. Practising your responses will help you feel more confident when it’s time to shine in front of senior stakeholders.
We think you need these skills to ace Senior Analyst - Lending Operations
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Analyst in Lending Operations. Highlight your experience with SQL, BI tools, and any relevant projects that showcase your ability to drive operational impact.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've influenced senior stakeholders or improved reporting frameworks in the past.
Showcase Your Analytical Skills: In your application, emphasise your experience with complex datasets and how you've turned data into actionable insights. We want to see your structured thinking and problem-solving abilities shine through!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Zopa Bank Limited
✨Know Your Metrics
Before the interview, brush up on key metrics relevant to lending operations and collections. Be ready to discuss how you would define and standardise these metrics, as this role heavily focuses on improving reporting quality.
✨Showcase Your SQL Skills
Since advanced SQL skills are a must-have, prepare to demonstrate your proficiency. Think of examples where you've used SQL to analyse complex datasets and how that led to actionable insights.
✨Prepare for Stakeholder Engagement
This position requires influencing senior stakeholders, so practice articulating your ideas clearly and confidently. Prepare examples of past experiences where you've successfully presented data-driven recommendations to senior management.
✨Embrace Ambiguity
The job description mentions thriving in ambiguity, so be ready to discuss how you've tackled unclear problem statements in the past. Share specific instances where you shaped analytical approaches to drive measurable operational impact.