Fraud Risk Strategy Analyst (12 Month FTC)

The Very Group; Liverpool; Hybrid; GBP 28,000 - 38,000; Full time

Benefits offered by this job

Flexible hybrid working

Inclusive culture

£250 flexible benefits allowance

27 days holiday

LinkedIn Learning access

Bonus potential

Up to 25% discount

Pension matching up to 6%

Job summary

The Very Group is hiring a Fraud Analyst to join our Fraud Risk Analytics team within Credit Risk. You will use data to understand fraud risks, develop rules, monitor performance, and help protect customers and the business.

This role suits someone new to analytics or with prior exposure. We offer a flexible, hybrid working model, learning opportunities, and a supportive team that values your input and growth.

Qualifications

• Degree in a numerate subject or equivalent practical experience.
• Comfortable working with data in Excel, SQL, or similar tools.
• Strong communication of insights to colleagues.
• Curious, analytical, problem-solving mindset.
• Team player with proactive attitude and adaptability.

Responsibilities

• Analyse fraud patterns and customer behaviours to support strategy.
• Monitor performance of existing fraud rules and identify improvements.
• Assist design, testing and implementation of new fraud controls.
• Build dashboards, reports or models for stakeholders to understand risks.
• Collaborate with Credit Risk, Fraud Operations and other teams to protect customers.

Skills

Analytical thinking

Problem solving

Data literacy

Communication

Team player

Education

Degree in a numerate subject or equivalent

Tools

Excel

SQL

Power BI

SAS

R

Python

Job description

About us

We’re the team behind digital retailer Very.

Our purpose, helping families get more out of life, powers everything we do.

And we want our people to get more out of life too! If you’re high-performing, ambitious and make the most of every opportunity, we want to hear from you. In return, you’ll enjoy heaps of flexibility, great perks and benefits, and the freedom to be yourself, keep learning and take your career wherever you want it to go.

If you love making a difference, you’ll love making it sparkle for millions of Very customers.

About the team

Protecting our customers and business from fraud is at the heart of what we do. You’ll join our dedicated Fraud Risk Analytics team of 5 (within our Credit Risk department of c.60 FTE) working in a fast-paced, collaborative environment where your ideas can make a real impact.

We’re responsible for designing and delivering fraud prevention strategies that tackle threats across the full customer journey, from new credit applications to account takeovers and emerging fraud trends. We combine data, insight, and innovation to keep our customers safe and minimise loss.

We don’t expect you to know everything from day one, you’ll get the support of a friendly, knowledgeable team and a chance to grow your skills in a business that moves quickly and values your input.

About the role

As a Fraud Analyst, you’ll play a key role in helping us understand and respond to fraud risks using data. You’ll support the development of fraud rules, monitor how our strategies are performing, and help us spot new threats before they become a problem.

This is a fantastic opportunity for someone, whether you’re a recent graduate or you’ve had some exposure to analytics in a previous role, we’ll help you build your skills and grow into the role.

Your key responsibilities will include:

• Analysing fraud patterns and customer behaviours using data to support strategy development.
• Monitoring the performance of existing fraud rules and identifying areas for improvement.
• Supporting the design, testing and implementation of new fraud controls.
• Building dashboards, reports or models to help stakeholders understand key risks and trends.
• Working with stakeholders across Credit Risk, Fraud Operations, and wider teams to help protect our customers and the business.

You’ll be surrounded by supportive teammates and experienced analysts who are there to coach and develop you while also giving you the space to take ownership of your work and grow in confidence.

About you

We’re looking for someone who is:

• Naturally curious, analytical, and enjoys problem-solving.
• Has a degree in a numerate subject such as Maths, Economics, Statistics, Computer Science or similar or equivalent practical experience.
• Comfortable working with data, whether that’s in Excel, SQL, or other tools.
• Able to communicate clearly both when working with your team and when presenting insights to others.
• A team player with a proactive mindset who’s keen to learn and grow.
• Organised and able to manage time effectively in a fast-moving environment.

You might have:

• Exposure to working with large datasets or in a risk-related environment.
• An interest in financial crime, fraud prevention or credit risk.
• Familiarity with some of the following - SQL, SAS, R, Python, Excel or Power BI.

If you’re passionate about analytics and using data to tackle real-world problems, we’d love to hear from you.

Some of our benefits

• Flexible, hybrid working model
• Inclusive culture and environment, check out our Glassdoor reviews
• £250 flexible benefits allowance to suit your needs
• 27 days holiday + bank holidays
• LinkedIn Learning access
• Bonus potential (performance and business-related)
• Up to 25% discount on Very.co.uk
• Matched pension up to 6%
• More benefits can be found on our career site

Diversity, inclusion and equal opportunities

We’re building a culture of everyday inclusion, and welcome applications from anyone who believes they can do the job. We don’t discriminate based on age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.

We want our recruitment process to be accessible to everyone. If you need reasonable adjustments to apply, interview, or perform a role, let us know via [e-mail]. We’ll be happy to support you.

We’re proud to be Disability Confident Committed Employer and have nine brilliant colleague networks - including DAWN (Disability Awareness at Very) and Think (Neurodiversity at Very) - that are helping us make Very an even more inclusive place to work.