Fraud Risk Strategy Analyst

Very Group; Liverpool; Hybrid; GBP 30,000 - 50,000; Full time

Job summary

A major retail group in Liverpool is looking for a Fraud Analyst to join their Fraud Risk Analytics team. You will analyze fraud patterns, support fraud strategy development, and build data-driven dashboards to mitigate fraud risks. The ideal candidate has a degree in a numerate subject and is comfortable working with data. This position offers a flexible and supportive work environment along with various benefits.

Benefits

Flexible, hybrid working model

£250 flexible benefits allowance

27 days holiday + bank holidays

Udemy learning access

Bonus potential

Up to 25% discount on company products

Matched pension up to 6%

Responsibilities

• Analyse fraud patterns and customer behaviours using data.
• Monitor the performance of existing fraud rules.
• Support the design of new fraud controls.
• Build dashboards for stakeholders.
• Collaborate with teams across the business.

Skills

Analytical thinking

Problem-solving

Communication

Team collaboration

Education

Degree in Maths, Economics, Statistics, or Computer Science

Tools

Excel

SQL

Python

Power BI

Job description

Internal use only - Grade G

About us

We areThe Very Groupand we’re here to help families get more out of life. We know that our customers work hard for their families and have a lot to balance in their busy lives. That’s why we combine amazing brands and products with flexible payment options onVery.co.ukto help them say yes to the things they love. We’re just as passionate about helping our people get more out of life too; building careers with real growth, a sense of purpose, belonging and wellbeing.

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
• Udemy 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 foundon our career site

How to apply

Please note that the talent acquisition team are managing this vacancy directly, and if successful in securing this role, you will be required to undertake a credit, CIFAS, Right to Work checks and if a specific requirement of your role a DBS (criminal records) check. Should your application progress we require you to let the team know if there is anything you need to disclose in relation to any of these checks prior to them being undertaken, including any unspent criminal convictions.

What happens next?

Our talent acquisition team will be in touch if you’re successful so keep an eye on your emails! We’ll arrange a short call to learn more about you, as well as answer any questions you have. If it feels like we’re a good match, we’ll share your CV with the hiring manager to review. Our interview process is tailored to each role and can be in-person or held remotely.

You can expect a one-stage interview process for this position:

1st Stage- A one-hour formal interview where you can expect both competency and technical questions.

Please do let us know if you require any reasonable adjustments.

If you'd like to know more about our interviews, you can find out here.

Equal opportunities

We’re an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.