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For Companies At a Glance
- Tasks: Develop predictive models for collections and fraud detection in a dynamic environment.
- Company: Join Vanquis, a caring bank recognised as one of the UK's Best Employers.
- Benefits: Enjoy 25+ days holiday, flexible working, and access to LinkedIn Learning.
- Why this job: Make a real impact with innovative data solutions while growing your career.
- Qualifications: 2+ years in predictive modelling, strong Python or SQL skills required.
- Other info: Be part of a supportive team that values your unique background and experience.
The predicted salary is between 36000 - 60000 £ per year.
This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.
Contract Type: Permanent | Full Time
Location: Bradford, Petersfield, Chatham or London
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.
- Enhanced Leave: Enhanced maternity (post-probation), 4 weeks' paternity, and paid neonatal & carers leave.
- Workations: Work abroad for up to 20 days a year in approved countries.
- Birthday Leave: Your birthday off-paid.
- Volunteering: 2 paid volunteering days.
- 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 Science, you will play a key role in delivering innovative, accurate, and scalable models that underpin our collections and fraud strategies that support sustainable customer outcomes.
You and your Team
The Data & Analytics function is a centre of excellence that provides high-impact analytical expertise across the Vanquis Banking Group. We're responsible for business-critical modelling, data innovation, credit bureau strategy, and actionable insights that drive customer and commercial outcomes. This new role will sit in our Decision Science team. The wider team focuses on developing robust, regulatory-aligned models and decisioning tools, and you will be specifically involved in developing and maintaining predictive models that enhance collections strategies and fraud detection frameworks.
As a Senior Analyst, you will:
- Develop predictive models for collections optimisation and fraud detection across Cards and Asset Finance portfolios.
- Assess customer behaviours, repayment patterns, and fraud trends, identifying opportunities to improve collections strategies and fraud prevention measures.
- Create, maintain, and automate model monitoring and performance dashboards.
- Build development datasets from internal and external data sources, including Credit Reference Agencies.
- Apply segmentation techniques to identify homogenous populations for targeted modelling.
What We're Looking For
We're looking for someone with a passion for dynamic problem solving and a track record of delivering predictive models in financial services. You should enjoy combining technical excellence with commercial thinking and collaboration.
Essential skills and experience:
- 2+ years' experience developing credit scorecards or other classification models (within financial services is a plus).
- Strong programming ability in either Python or SQL; familiarity with libraries such as NumPy, Pandas, Scikit-learn, Keras, and Matplotlib.
- Familiarity with algorithms such as logistic regression and tree-based methods (e.g. random forests, gradient boosting).
- Familiarity with Credit Reference Agency data, characteristics, and score usage.
- A structured, analytical mindset and problem-solving capability.
Desirable skills:
- Exposure to cloud-based analytics environments.
- Experience with machine learning techniques for fraud detection.
Offers are subject to standard background checks (credit, fraud and employment references).
Who we are
At Vanquis, our purpose is simple: to deliver caring banking that helps people make the most of life's opportunities. Founded in 1880, we're now a FTSE All Share specialist bank supporting over 1.7 million UK customers with responsible, tailored lending. We're proud to be certified as a Great Place to Work and recognised by the Financial Times as one of the UK's Best Employers 2025 - ranked top 50 nationwide and seventh in Banking & Financial Services. We're also proud signatories of the Armed Forces Covenant, actively supporting veterans, reservists and military families. Guided by our values - caring for people, pulling together, finding better ways and getting the right things done - we're building a workplace where colleagues feel connected, valued and empowered. Alongside competitive pay, we offer meaningful benefits, salary reviews, a discretionary bonus scheme and continued recognition. We're invested in your development too. With the right support and hands-on learning, you'll grow your skills, shape your career and realise your ambitions.
How We Hire
We use AI to help organise applications and surface early matches, but all decisions are made by humans. Please apply authentically - especially during interviews.
Equal Opportunities
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 careers@vanquis.com and we'll be happy to help.
Senior Analyst - Decision Science employer: Information Commissioner's Office
Contact Detail:
Information Commissioner's Office Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analyst - Decision Science
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or even in person. Let them know you're on the lookout for a Senior Analyst role, and who knows? They might just have the inside scoop on opportunities that aren't even advertised yet.
✨Tip Number 2
Prepare for those interviews! Research common questions for Senior Analysts in Decision Science and practice your answers. We recommend using the STAR method (Situation, Task, Action, Result) to structure your responses and showcase your problem-solving skills.
✨Tip Number 3
Show off your skills! If you’ve got a portfolio of projects or models you've worked on, bring it along to interviews. This is your chance to demonstrate your technical prowess in Python or SQL and how you’ve applied it in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Analyst - Decision Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Analyst role. Highlight your experience with predictive models and programming languages like Python or SQL, as these are key for us.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about decision science and how your background aligns with our values. Share specific examples of your problem-solving skills and any relevant projects you've worked on.
Showcase Your Technical Skills: Don’t just list your technical skills; demonstrate them! If you’ve worked with libraries like NumPy or Scikit-learn, mention specific projects where you applied these tools to achieve results.
Apply Through Our Website: We encourage you to apply directly 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 you’re keen on joining our team!
How to prepare for a job interview at Information Commissioner's Office
✨Know Your Models
As a Senior Analyst in Decision Science, you'll be expected to discuss your experience with predictive models. Brush up on the models you've developed, especially credit scorecards and classification models. Be ready to explain your thought process and the impact of these models on collections and fraud strategies.
✨Showcase Your Technical Skills
Make sure you can confidently talk about your programming skills in Python or SQL. Familiarise yourself with libraries like NumPy and Scikit-learn, as well as algorithms such as logistic regression. Prepare examples of how you've used these tools in past projects to solve real-world problems.
✨Understand the Business Context
It's crucial to connect your technical expertise with commercial thinking. Research Vanquis Bank's values and how they align with your approach to decision science. Be prepared to discuss how your analytical insights can drive customer outcomes and support the bank's mission of caring for people.
✨Prepare Questions
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, the specific challenges they face in decision science, and how they measure success. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
