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Fraud Data Analyst

Ocean Finance
Salford
1 month ago
Applications closed

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🌍Location:Remote/Old Street, London
🕝Hours:40 hrs/week
🏢Department:Operations

Intelligent Lending Group incorporating Ocean, CredAbility, TotallyMoney and Binq.

This role would be supporting TotallyMoney which is a free personal finance app that gives people the plans, products and help they need to unlock a life of more choices. It’s all about creating a fairer financial world where people who’ve been left behind can make their financial data work for them. Put simply, we help them move closer towards their financial goals.

If you want to join our mission to help the UK’s most under-served consumers — we want to hear from you!




Whatyou'll do:

As part of the Financial Crime team, your responsibilities will include:


  • Monitoring and analysing fraud prevention system outputs by reviewing data and reports on a daily basis

  • Identifying emerging fraud trends and patterns and assess performance of existing fraud detection rules

Here's what a normal day in the job might look like:


  • Design, test and implement new rules and rule adjustments to optimise fraud prevention systems

  • Analysing false positive rates and identifying opportunities to reduce customer friction

  • Communicating with customers to verify identity and resolve legitimate cases while maintaining fraud prevention standards

  • Collaborating cross-functionally with Customer Operations, Product and Engineering teams on system enhancements

Succeeding in your first few months includes:


  • Working within internal and external SLAs and completing daily MI to evidence performance

  • Carrying out ad-hoc financial crime analysis and supporting the wider Financial Crime Team

  • Tracking and reporting on key fraud metrics and identifying opportunities for process improvements

Qualifications and skills:

Here's what we think you'll need to succeed in this role:


  • Solid analytical skills with experience in ad hoc data requests and KPI monitoring

  • Ability to design and implement fraud detection logic and suspicious activity rules in collaboration with engineering teams

  • Ability to interpret complex data and turn it into actionable insights

It'll help if you know your way around these tools/apps:


  • Machine Learning concepts and their application in fraud detection

  • MS Office suite

  • Data analysis tools and methodologies

You'll fit in well if you're the type of person who:


  • Is highly diligent, precise, organised, analytical, and results-focused

  • Has excellent communication and collaboration skills to effectively share insights

  • Has a creative and proactive mindset to anticipate and respond to evolving fraud tactics

  • Can work independently and manage a variety of workstreams

  • Has awareness of financial industry standards and best practices for fraud detection

We know people, especially those from marginalised backgrounds, may hesitate to apply if they don't meet all the requirements. Please apply anyway. We don't expect you to be the complete package, just show us you have ambition and a willingness to learn.

Whatyou'll get from us:

Working at TotallyMoney has its perks. When you join the team you'll get:

🕜Flexible hours— Our core hours are 7 am to 7 pm. Fit your hours within that, however you like.

⛱️25 days of annual leave(plus 8 bank holidays), 2 additional free days off at Christmas time, and the option to purchase an extra week off.

🌅Work abroad policy— make us jealous of your stunning view.

🍼Enhanced parental leaveso you can spend time with your new bundle of joy.

💜2 days leave to volunteerfor whatever causes you're passionate about! Plus, the opportunity to give back during work with a range of monthly charity events.

😷Generous sick leaveso you can take the time you need to get better.

🩺Vitality Health Insurance and reward scheme(inc. 50% off Virgin Active gyms, free access to headspace and so much more).

🎁Perkbox membershipfor a range of great discounts and freebies.

🚲Cycle to Work schemeand great on-site facilities to accommodate those who choose to cycle or run to work.

🤲Prayer/quiet roomwith privacy curtain and prayer mats.

💹Auto-enrolment pension schemewith Scottish Widows.

🧠Mental health and well-beingperks include talking therapies with Self-space and 'in-the-moment' assistance via our Employee Assistance Programme by Viviup.

🐶 You'll find a pup or 2 around ourdog-friendly office.

💃2 annual company socials, regular team socials throughout the year, and an all-company invitation to Thursday drinks (ping pong optional).

🥐Free breakfast on Thursdaysat our company morning meeting.

🍫Snack jars filled with goodies, coffee machines with Caravan coffee, and a great range of herbal teas — help yourself!

Hobby clubs and activitieslike football, badminton, Catan, and book club — you could even start your own!

📚A cultural focus on learning and developmentwith in-house and external training is a part of our monthly company agenda.

🌱FORA building membershipwith access to various in-building perks such as socials, breakfasts, a running track, and fitness classes.

The hiring process:

Once we've received your application, we'll take a good look before getting in touch with you to discuss the next steps of the process. This will include:


  • Initial phone screening with HR

  • Technical interview with the Financial Crime team

  • Final interview with senior management

How to apply:

The wonderful Siobhan is managing the hiring process for this role.

If you have any questions, you can reach out to

Want to join our ambitious team? Fill in your application and submit today! 



Our commitment to diversity and inclusion:

At TotallyMoney, we're committed to being an inclusive and diverse employer, and welcome applications from all sections of society. We have an active DE&I (Diversity, Equity and Inclusion) committee led by employees and continually work on our DE&I efforts. We believe everyone has potential, regardless of race, religion or belief, ethnic origin, physical or mental ability, social background, age, nationality, marital, domestic, or civil partnership status, sexual orientation, gender identity, or any other differences that make you, you.

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