Fraud Data Analyst

Fraud Data Analyst

Full-Time 40000 - 50000 £ / year (est.) Home office (partial)
Dormont Manufacturing Co

At a Glance

  • Tasks: Investigate fraud cases and analyse data to provide actionable insights.
  • Company: Join LexisNexis Risk Solutions, a leader in risk assessment.
  • Benefits: Enjoy generous holidays, health perks, and a competitive pension scheme.
  • Other info: Collaborative team environment with opportunities for professional growth.
  • Why this job: Make a real impact by reducing fraud and enhancing customer experience.
  • Qualifications: Strong skills in Python and SQL; analytical mindset required.

The predicted salary is between 40000 - 50000 £ per year.

About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti‑Money Laundering/Counter‑Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management.

About our Team: You will be part of a team of analysts using global data from the largest real‑time fraud detection platform to optimise solutions for our enterprise customers.

About the role: As a Fraud Data Analyst, you’ll use global data from the largest real‑time fraud detection platform to craft solutions for our enterprise customers. Your experience with data analysis, investigating suspicious behaviour and providing new insights to customers will lead to immediate real‑world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability. You’ll leverage a real‑time platform analysing billions of transactions per month for some of the largest companies operating in Financial Services, Insurance, e‑Commerce, and On‑Demand Services. These tools will allow you to attain a unique perspective of the Internet and every persona connected to it. You’ll be continually collaborating with internal product and engineering teams, customer‑facing account teams, and external business leaders and risk managers. The comprehensive policy you build will go head‑to‑head against some of the most motivated attackers in the world to protect billions in revenue.

Responsibilities:

  • Investigate: Conduct in‑depth reviews of complex fraud cases to identify trends and actionable insights, documenting your findings and making clear recommendations on how to mitigate risk.
  • Analytics: Use your SQL and Python skills to increase our customers’ fraud capture while reducing false positives, conducting offline analysis of customer data to expose patterns and statistically tune policies. Produce executive‑level reports and own the end‑to‑end delivery of your recommendations by writing rules into the ThreatMetrix® decision engine.
  • Business Intelligence and reporting: Build dashboards & reports to track value delivered by the solution, with an increasing focus on more bespoke external‑facing dashboards that surface the most important insights to each customer.
  • Presentation: Use your strong attention to detail and ability to craft a story through data, delivering industry‑leading presentations for external and executive audiences with non‑technical backgrounds.
  • Customer focus: Scope, plan and deliver customer‑focused projects including root cause analysis, reports, dashboards, rule mining and health checks. Demonstrate a professional and customer‑centric persona when interacting directly with customers via phone, e‑mail, and chat.
  • Collaborate: Collaborate with ThreatMetrix teams including Products, Engineering, Sales and other Professional Services colleagues around the world to continually redefine best practices.

Requirements:

  • Excellent knowledge of Python and SQL (BI tools such as SuperSet, Tableau or PowerBI is a bonus).
  • Extensive analytical and problem‑solving skills, with a deep curiosity.
  • Exceptional attention to detail to ensure quality of project delivery for customers stands out amongst industry peers.
  • Track record of building external and executive reports and presentations.
  • Interest or experience in consulting within the risk, fraud or payments industry.
  • Experience of working with fraud system management, such as ThreatMetrix, Emailage, Featurespace, Hunter, Iovation, BioCatch, Actimize Falcon, etc.
  • Extensive multi‑tasking and prioritization skills.
  • Needs to excel in fast paced environment with frequently changing priorities.
  • Fluency in more than one language spoken across EMEA is a bonus, but not essential.

Benefits:

  • Generous holiday allowance with the option to buy additional days.
  • Health screening, eyecare vouchers and private medical benefits.
  • Wellbeing programmes.
  • Life Assurance.
  • Access to a competitive contributory pension scheme.
  • Save As You Earn share option scheme.
  • Travel Season ticket loan.
  • Electric Vehicle Scheme.
  • Optional Dental Insurance.
  • Maternity, paternity and shared parental leave.
  • Employee Assistance Programme.
  • Access to emergency care for both the elderly and children.
  • RECARES days, giving you time to support the charities and causes that matter to you.
  • Access to employee resource groups with dedicated time to volunteer.
  • Access to extensive learning and development resources.
  • Access to employee discount scheme via Perks at Work.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

Fraud Data Analyst employer: Dormont Manufacturing Co

At LexisNexis Risk Solutions, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Fraud Data Analyst, you will benefit from generous holiday allowances, comprehensive health and wellbeing programmes, and extensive learning opportunities, all while working in a dynamic environment that values your contributions to combating fraud and enhancing customer experiences. Our commitment to employee growth and community engagement, alongside competitive benefits, makes us a rewarding place to build your career.

Dormont Manufacturing Co

Contact Details:

Dormont Manufacturing Co Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Fraud Data Analyst

Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect with current employees at LexisNexis. A friendly chat can sometimes lead to opportunities that aren’t even advertised.

Tip Number 2

Show off your skills! Prepare a portfolio or case studies showcasing your data analysis work, especially any experience with fraud detection. This will help you stand out during interviews and demonstrate your real-world impact.

Tip Number 3

Practice makes perfect! Get comfortable with common interview questions for data analysts, especially those related to SQL and Python. Mock interviews with friends or using online platforms can boost your confidence.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at LexisNexis.

We think you need these skills to ace Fraud Data Analyst

Data Analysis
SQL
Python
Fraud Detection
Business Intelligence
Dashboard Creation
Presentation Skills

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Fraud Data Analyst role. Highlight your experience with Python, SQL, and any relevant fraud detection tools. We want to see how your skills align with what we're looking for!

Showcase Your Analytical Skills:In your application, give examples of how you've used data analysis to solve problems or improve processes. We love candidates who can demonstrate their analytical prowess and attention to detail, so don’t hold back!

Be Clear and Concise:When writing your cover letter, keep it straightforward and to the point. We appreciate clarity, so make sure your key points stand out. Remember, we’re looking for someone who can communicate complex ideas simply!

Apply Through Our Website:We encourage you 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’s super easy to do!

How to prepare for a job interview at Dormont Manufacturing Co

Know Your Data Tools

Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in relation to fraud detection and data analysis.

Understand the Business Context

Familiarise yourself with LexisNexis Risk Solutions and their role in fraud prevention. Knowing their products and how they help businesses mitigate risk will show that you're genuinely interested and prepared.

Prepare for Case Studies

Expect to be presented with real-world fraud scenarios during the interview. Practice articulating your thought process on how you would investigate these cases and what insights you would derive from the data.

Craft Your Story

Be ready to present your past experiences in a way that highlights your analytical skills and attention to detail. Use specific examples where you made a significant impact through your data analysis, especially in customer-focused projects.