Lead Analyst, Fraud Strategy

Lead Analyst, Fraud Strategy

Full-Time 60000 - 80000 £ / year (est.) Home office possible
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At a Glance

  • Tasks: Join our Fraud Intelligence team to combat fraud and drive impactful solutions.
  • Company: Zepz, a mission-driven fintech company breaking down financial barriers.
  • Benefits: Unlimited annual leave, great healthcare, remote work flexibility, and tailored perks.
  • Other info: Diverse global team with opportunities for personal and professional growth.
  • Why this job: Make a real impact in the fight against fraud while working with cutting-edge technology.
  • Qualifications: 5+ years in fraud analytics, strong SQL skills, and exceptional communication abilities.

The predicted salary is between 60000 - 80000 £ per year.

Join Zepz: Breaking Down Borders, Together

Our Meaningful Mission

At Zepz, we're all about breaking down barriers for our customers and our teammates. Our purpose is deeply personal; we provide a lifeline and deliver opportunities to cross-border communities that need it most through cutting-edge finance and tech. Zepz is the power behind WorldRemit and Sendwave, driven by the mission to celebrate the incredible impact migrants have, both at home and abroad.

Who You'll Be Joining

We look for mission-driven builders who thrive in a fast-paced environment connected to a true purpose. We’re an always developing team of experts that enjoy problem-solving and bring clarity to tough challenges. At Zepz, we are Relentless Learners, always seeking feedback, and Responsible Owners, treating company resources like your own. We depend on Transparent Communicators who keep the team aligned through open, honest talk.

Our Core Commitments — What We Live By

  • Integrity: We always do the right thing. It’s simple, but it’s the foundation of everything we build for our customers and each other.
  • Outcomes: We work for our customers. Their success and prosperity are the results we focus on delivering.
  • Velocity: We are fast! We maintain high energy levels and make smart decisions quickly, keeping us nimble and ahead of the curve.

Perks of Joining Our Team

We believe in empowering colleagues because we genuinely trust our team. Our culture is founded on this high trust, which naturally encourages the high ownership that drives us to meet our shared high expectations and deliver high performance. Our remote-first culture means you have the flexibility to work in your employing country wherever you feel the most focused and productive. This freedom comes with wonderful tailored, location-specific perks designed to support your whole life, not just your work. Think unlimited annual leave, great healthcare benefits, and employee discounts. We want you to thrive and focus entirely on making your biggest impact! In turn, we expect you to bring high ownership and commitment to your work. This is a place where we value trust and high performance, and we'll provide the environment and support needed for you to excel.

About the role and team

We're looking for a talented fraud analyst to help us in our fight against fraud. This role will sit in the Fraud Intelligence team, responsible for fraud identification, mitigation and prevention. Working together with Product, Commercial Managers, Engineering and Data Science teams, the analyst will work to spot the latest fraud trends and drive impactful fraud prevention solutions whilst ensuring a seamless journey for our customers. On the technical side, you will be working with a wide variety of technologies, datasets and techniques to drive meaningful insights and material improvements.

What you bring to the table

  • 5+ years in payment fraud analytics (or data analysis/data science with meaningful experience in the fraud and financial crime prevention space) in financial services or fintech.
  • High proficiency in SQL and data analysis, able to produce high quality actionable insights, visualisations and analysis from large complex datasets.
  • Deep understanding of chargeback prevention from the merchant perspective, and the tools and techniques available to help with this (device profiling, behavioural profiling, machine learning).
  • Exceptional communication skills, able to engage productively with stakeholders at all levels across the organization and able to produce high quality written analysis understandable by wide, sometimes non-technical audiences.
  • An ability to see the bigger picture: a problem-solving approach that gets to the underlying business questions, using a variety of data sources and information. The ability to translate a problem into an actionable plan.
  • Comfortable with balancing multiple priorities, working to a fast tempo and adapting to the needs of the business.

What you will focus on

  • Work in a collaborative and cross-functional way to identify, quantify and make data-driven business decisions to reduce our exposure to fraud.
  • Champion the use of data to optimise the way we combat fraud in the business.
  • Work collaboratively with a wide range of stakeholders across the entire business to prioritise and translate compliance and business requirements into innovative solutions.
  • Identify opportunities for improvement through data analysis, AB testing, tracking, and the creation of self-serve tools.
  • Present results back to the business in a structured, data-driven manner - simplifying complex concepts for non-technical audiences.
  • Make significant changes to the way that the function and team operate on a regular basis. You will see and feel the impact of your work on the business regularly.

Bonus Points

  • Experience in Financial Crime compliance (Transaction Monitoring).
  • Experience in fraud prevention on stored value products (e.g. current accounts or wallets) and/or credit facilities.
  • Experience in Python for data analytics, scripting or machine learning.

If you want to join us in our journey to help break barriers in financial access and improve lives globally, there's no better place or time to join. Our global team of 800+ people is spread across six continents. We aspire to hire the best mix of people from former Olympians to YouTube influencers and we speak over twenty languages. This incredible diversity isn't a bonus; it's the engine that lets us serve the world.

Ready to Apply? Let’s Go.

Lead Analyst, Fraud Strategy employer: the role and team

At Zepz, we pride ourselves on being an exceptional employer that champions a vibrant and diverse culture, empowering our team members to thrive in a remote-first environment. With benefits like unlimited annual leave, comprehensive healthcare, and tailored perks, we foster a high-trust atmosphere that encourages ownership and commitment, ensuring every employee can make a meaningful impact while enjoying a fulfilling work-life balance.
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Contact Detail:

the role and team Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Analyst, Fraud Strategy

✨Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Prepare for interviews by researching the company and its culture. Understand their mission and values, so you can show how you fit right in with their team.

✨Tip Number 3

Practice your pitch! Be ready to explain your experience and how it relates to the role. Keep it concise but impactful – you want to leave them wanting to know more.

✨Tip Number 4

Don’t forget to follow up after interviews! A quick thank-you email can keep you top of mind and show your enthusiasm for the role. Plus, it’s just good manners!

We think you need these skills to ace Lead Analyst, Fraud Strategy

Payment Fraud Analytics
Data Analysis
SQL
Chargeback Prevention
Device Profiling
Behavioral Profiling
Machine Learning
Communication Skills
Problem-Solving Skills
Data-Driven Decision Making
Collaboration
AB Testing
Python for Data Analytics
Stakeholder Engagement

Some tips for your application 🫡

Show Your Passion: When you're writing your application, let your enthusiasm for the role shine through! We want to see how your values align with our mission at Zepz. Share why you’re excited about breaking down barriers and how you can contribute to our purpose.

Tailor Your Experience: Make sure to highlight your relevant experience in fraud analytics or data science. We love seeing how your skills can help us combat fraud effectively. Use specific examples that demonstrate your expertise and problem-solving abilities!

Keep It Clear and Concise: We appreciate clear communication, so keep your application straightforward. Avoid jargon where possible and make sure your insights are easy to understand. Remember, we want to see your analytical skills, but also your ability to communicate complex ideas simply.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Zepz!

How to prepare for a job interview at the role and team

✨Know Your Fraud Strategies

Before the interview, brush up on the latest trends in fraud prevention and analytics. Be ready to discuss specific strategies you've used in the past, especially those involving SQL and data analysis. This shows you’re not just familiar with the concepts but have practical experience.

✨Communicate Clearly

Since exceptional communication skills are key for this role, practice explaining complex data insights in simple terms. You might be asked to present a past project or analysis, so think about how you can make it relatable to non-technical stakeholders.

✨Showcase Your Problem-Solving Skills

Prepare examples that highlight your problem-solving approach. Think of situations where you identified a fraud issue, analysed the data, and implemented a solution. This will demonstrate your ability to see the bigger picture and translate problems into actionable plans.

✨Emphasise Collaboration

Zepz values teamwork, so be ready to discuss how you've worked cross-functionally in previous roles. Share experiences where you collaborated with product managers, engineers, or data scientists to tackle fraud challenges, showcasing your ability to work well with diverse teams.

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