Fraud Data Analyst

Fraud Data Analyst

Full-Time 40000 - 50000 € / year (est.) No home office possible
Women in Data®

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 benefits, and extensive learning resources.
  • Other info: Collaborative environment with opportunities for professional growth.
  • Why this job: Make a real impact by protecting businesses from fraud.
  • Qualifications: Proficiency in Python and SQL, with strong analytical skills.

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

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.

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.

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.

Working for you

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Generous holiday allowance with the option to buy additional days
  • Health screening, eye care vouchers and private medical benefits
  • Life Assurance
  • Access to a competitive contributory pension scheme
  • Save As You Earn share option scheme
  • Travel Season ticket loan
  • Electric Vehicle Scheme
  • 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 discounts 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.

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: Women in Data®

At LexisNexis Risk Solutions, we pride ourselves on being an exceptional employer that prioritises employee well-being and professional growth. Our collaborative work culture fosters innovation and creativity, while our comprehensive benefits package, including generous holiday allowances and extensive learning resources, ensures that you can thrive both personally and professionally. Join us in our vibrant location, where you'll have the opportunity to make a real-world impact in fraud prevention and risk management, all while being part of a supportive and inclusive team.

Women in Data®

Contact Detail:

Women in Data® Recruiting 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, especially those at LexisNexis. A friendly chat can open doors that a CV just can't.

Tip Number 2

Show off your skills! Prepare a mini-project or case study that highlights your SQL and Python prowess. Bring it along to interviews to impress the hiring team.

Tip Number 3

Practice makes perfect! Get comfortable with presenting data insights. You’ll need to explain complex findings to non-technical folks, so make sure you can tell a compelling story.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be one step closer to joining our awesome team!

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 CV:Make sure your CV is tailored to the Fraud Data Analyst role. Highlight your experience with Python, SQL, and any relevant tools like ThreatMetrix. We want to see how your skills match what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about fraud analysis and how your background makes you a great fit for our team. Keep it engaging and personal!

Showcase Your Analytical Skills:In your application, don’t forget to showcase your analytical and problem-solving skills. Share examples of how you've tackled complex issues in the past, especially in fraud or risk management.

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy!

How to prepare for a job interview at Women in Data®

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. This will show that you're not just familiar with the tools, but that you can apply them effectively.

Understand the Fraud Landscape

Familiarise yourself with current trends in fraud and risk management. Research LexisNexis Risk Solutions and their approach to tackling fraud. Being able to discuss specific cases or trends during your interview will demonstrate your genuine interest and knowledge in the field.

Prepare for Scenario Questions

Expect to be asked about how you would handle specific fraud cases or data analysis scenarios. Prepare examples from your experience where you identified trends or made recommendations based on your findings. This will help you showcase your analytical skills and problem-solving abilities.

Craft Your Story

When discussing your previous work, focus on how you can tell a compelling story with data. Practice explaining complex concepts in simple terms, as you'll need to present insights to non-technical audiences. This skill is crucial for the role and will set you apart from other candidates.