Senior Analyst – Decision Systems

Senior Analyst – Decision Systems

Full-Time 45000 - 55000 € / year (est.) Home office (partial)
Women in Data®

At a Glance

  • Tasks: Lead the design and testing of credit decisioning strategies across customer journeys.
  • Company: Join a forward-thinking bank that values diversity and innovation.
  • Benefits: Enjoy 25+ days holiday, flexible work options, and birthday leave.
  • Other info: Collaborative team culture with opportunities for mentorship and career growth.
  • Why this job: Make a real impact on credit decisions while growing your analytical skills.
  • Qualifications: 3+ years in data analytics with a focus on credit risk.

The predicted salary is between 45000 - 55000 € per year.

Location: Bradford, London and Petersfield

Working Pattern: Hybrid (usually a couple of days a week in the office). We welcome part‑time and flexible arrangements and will aim to match your current flexibility where possible.

What We Offer

  • Holidays: 25 days (rising to 30) + buy/sell up to 5 days + swap up to 4 bank holidays.
  • Pension: Up to 10% employer contribution.
  • Family Leave: Enhanced maternity and 4 weeks’ paternity from day‑one, shared parental leave, paid neonatal care leave and support for adoption and surrogacy.
  • Fertility Support: Paid time off for fertility treatment and appointments, available to birth parents and partners, with confidential support and flexible adjustments where needed.
  • Workations: Work abroad for up to 20 days a year in approved countries.
  • Birthday Leave: Your birthday off—paid.
  • Learning: Access to LinkedIn Learning for all colleagues.
  • Financial Wellbeing: Free Snoop Premium subscription.
  • Healthcare: Self‑pay Denplan & optional Private Medical Insurance.

The Role

As a Senior Analyst, Decision Systems, you’ll play a pivotal role in shaping how credit decisions are designed, tested and delivered across the customer lifecycle, with a particular focus on origination platforms, cards and onboarding journeys. You’ll lead the development and testing of robust decisioning strategies, translating credit policy into scalable, well‑governed system solutions that balance commercial outcomes with responsible lending and regulatory expectations. Using strong analytical skills, you’ll investigate credit performance, deliver clear MI and dashboards, and help drive continuous improvement across data, reporting and decisioning infrastructure. You’ll also influence key system changes and mentor junior analysts, contributing hands‑on to the evolution of our data‑driven decisioning capabilities.

You and your Team

You’ll join a collaborative, high‑performing team at the heart of credit decisioning, working closely with Credit Risk, IT, Data, Product and Governance colleagues. The team values strong analytical thinking, attention to detail and proactive problem‑solving, with a culture built on knowledge sharing, agile delivery and continuous improvement. Together, you’ll work in a fast‑paced, delivery‑focused environment, fostering strong stakeholder relationships and a DevOps mindset to ensure solutions are well designed, well controlled and effectively implemented. Supported by experienced peers and leaders, you’ll have the opportunity to grow your impact while helping to build capability across the wider team.

As a Senior Analyst, Decision Systems you will:

  • Lead the design, development, and testing of credit decisioning strategies and system changes across the customer lifecycle.
  • Collaborate with IT, data, and credit teams to define and document business requirements, ensuring accurate implementation and traceability.
  • Develop and execute test plans to validate decision logic, system functionality, and data integrity, ensuring alignment with governance and regulatory standards.
  • Monitor and investigate credit performance trends, providing actionable insights to support risk management and strategic decision‑making.
  • Deliver clear, concise management information (MI) and dashboards using tools such as Power BI and Excel, tailored to stakeholder needs.
  • Define and support data infrastructure requirements to enable scalable and reliable reporting and analytics.
  • Maintain strong stakeholder relationships across Credit, Product, and Technology teams to ensure alignment and effective delivery.
  • Contribute to continuous improvement of processes and workflows, promoting a DevOps culture and adherence to governance frameworks.
  • Mentor junior analysts and support cross‑functional knowledge sharing to build team capability.

What We’re Looking For

  • 3+ years’ experience working with data, reporting, or analytics within a Credit Risk or related function.
  • Strong understanding of credit decisioning systems and consumer credit risk, ideally gained within sub‑prime, digital, or online lending environments.
  • Demonstrated experience testing and validating credit strategies, decision logic, and system changes within a robust governance and control framework.
  • Solid knowledge of corporate governance, risk controls, and regulatory expectations relating to credit risk and system development.
  • Experience working within agile delivery environments, with an understanding of DevOps principles, continuous improvement, and cross‑functional collaboration.
  • Advanced analytical and quantitative skills, with the ability to interpret complex data and translate insights into clear, actionable outcomes.
  • Proven ability to plan, prioritise, and manage workload effectively in a fast‑paced, delivery‑focused environment.
  • Strong stakeholder engagement skills, with confidence working across Credit, Product, and Technology teams to gather requirements, share insights, and drive delivery.
  • Highly analytical and detail‑oriented approach to problem solving, with the ability to interpret complex system logic and validate decisioning outcomes against business and governance requirements.

Pre‑Employment Checks

Any offer made will be subject to standard background checks, including credit, fraud and employment references. Due to the regulated nature of our business, additional checks may apply.

Equal Opportunity Employer

Vanquis Bank is an Equal Opportunity Employer. We value everyone’s unique background, identity and experience, and we’re committed to a workplace where all colleagues can thrive. If you need any adjustments or support during the recruitment process, please contact us and we’ll be happy to help.

Senior Analyst – Decision Systems employer: Women in Data®

At Vanquis Bank, we pride ourselves on being an exceptional employer, offering a supportive and flexible work environment that prioritises your wellbeing and professional growth. With generous benefits such as enhanced family leave, opportunities for continuous learning, and the unique chance to work abroad, our collaborative culture fosters innovation and empowers you to make a meaningful impact in the field of credit decisioning. Join us in Bradford, London, or Petersfield, where you'll be part of a high-performing team dedicated to driving responsible lending and delivering exceptional results.

Women in Data®

Contact Detail:

Women in Data® Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Analyst – Decision Systems

Tip Number 1

Network like a pro! Reach out to current employees on LinkedIn or attend industry events. A friendly chat can give you insider info and maybe even a referral!

Tip Number 2

Prepare for the interview by researching the company culture and values. Show how your skills align with their mission, especially in credit decisioning and analytics.

Tip Number 3

Practice your problem-solving skills! Be ready to tackle case studies or analytical challenges during interviews. It’s all about showcasing your thought process.

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 genuinely interested in joining our team.

We think you need these skills to ace Senior Analyst – Decision Systems

Analytical Skills
Attention to Detail
Problem-Solving Skills
Credit Decisioning Systems
Data Analysis
Management Information (MI) Reporting
Power BI

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Senior Analyst role. Highlight your experience with credit decisioning systems and any relevant analytical skills. We want to see how your background aligns with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how you can contribute to our team. Be sure to mention specific experiences that relate to the job description.

Showcase Your Analytical Skills:Since this role is all about data and decision-making, make sure to showcase your analytical skills in your application. Include examples of how you've used data to drive decisions or improve processes in previous roles.

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, we love seeing applications come directly from our site!

How to prepare for a job interview at Women in Data®

Know Your Stuff

Make sure you brush up on your knowledge of credit decisioning systems and consumer credit risk. Be ready to discuss your experience in testing and validating credit strategies, as well as any specific tools you've used like Power BI or Excel.

Showcase Your Analytical Skills

Prepare to demonstrate your analytical prowess by discussing how you've interpreted complex data in the past. Think of examples where your insights led to actionable outcomes, especially in a fast-paced environment.

Engage with Stakeholders

Since this role involves strong stakeholder engagement, be prepared to talk about how you've collaborated with different teams. Highlight your experience in gathering requirements and driving delivery across Credit, Product, and Technology teams.

Emphasise Continuous Improvement

Discuss your understanding of DevOps principles and how you've contributed to continuous improvement in previous roles. Share specific examples of how you've promoted a culture of knowledge sharing and agile delivery within your team.