Fraud Data Analyst

Fraud Data Analyst

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Investigate fraud cases and analyse data to provide actionable insights.
  • Company: Join LexisNexis Risk Solutions, a leader in risk assessment and fraud prevention.
  • Benefits: Enjoy flexible work options, professional development, and a collaborative team environment.
  • Why this job: Make a real-world impact by reducing fraud losses and enhancing customer experiences.
  • Qualifications: Experience in fraud analytics, proficient in SQL, and knowledge of Python is a plus.
  • Other info: Opportunity to work with global data and collaborate with diverse teams.

The predicted salary is between 36000 - 60000 £ 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: You will use your experience with data analysis to investigate suspicious behaviour. This will provide new insights to customers leading 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

  • Conducting in-depth reviews of complex fraud cases, identifying trends and actionable insights, documenting your findings and making clear recommendations on how to mitigate risk.
  • Using 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.
  • Building dashboards & reports to track value delivered by the solution, increasing focus on more bespoke external-facing dashboards that surface the most important insights to each customer.
  • Using your excellent attention to detail and ability to craft a story through data.
  • Delivering industry-leading presentations for external and executive audiences with non-technical background.
  • Scoping, planning, and delivering 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.
  • Collaborating with ThreatMetrix teams, including Products, Engineering, Sales and other Professional Services colleagues around the world to continually redefine best practices.

Requirements

  • Experience within a Fraud Strategy or Fraud Analytics function.
  • Proficient in SQL (Python knowledge and BI tools like SuperSet, PowerBI, Tableau a bonus).
  • Experience of working with fraud system management, such as ThreatMetrix, Emailage, Featurespace, Hunter, Iovation, BioCatch, Actimize Falcon, etc.
  • Interest or experience in consulting within the risk, fraud or payments industry.
  • Have 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.
  • Have extensive multi-tasking and prioritization skills. Needs to excel in fast paced environment with frequently changing priorities.
  • Fluency in languages spoken across EMEA are a bonus.

Fraud Data Analyst employer: LexisNexis

At LexisNexis Risk Solutions, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our Fraud Data Analysts benefit from comprehensive training and development opportunities, enabling them to grow their expertise in a fast-paced environment while making a tangible impact on customer success. Located in a vibrant area, our team enjoys a supportive atmosphere that values diversity and encourages professional advancement, making it an ideal place for those seeking meaningful and rewarding careers.
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Contact Detail:

LexisNexis Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Fraud Data Analyst

✨Tip Number 1

Familiarise yourself with the latest trends in fraud detection and prevention. Understanding the current landscape will not only help you during interviews but also demonstrate your genuine interest in the field.

✨Tip Number 2

Network with professionals in the fraud analytics space. Attend industry events or webinars, and connect with people on platforms like LinkedIn to gain insights and potentially get referrals for the role.

✨Tip Number 3

Brush up on your SQL and Python skills. Consider working on personal projects or contributing to open-source projects that involve data analysis to showcase your technical abilities.

✨Tip Number 4

Prepare to discuss real-world examples of how you've used data to solve problems. Being able to articulate your thought process and the impact of your work will set you apart from other candidates.

We think you need these skills to ace Fraud Data Analyst

Data Analysis
SQL Proficiency
Python Programming
Business Intelligence Tools (e.g., SuperSet, PowerBI, Tableau)
Fraud Analytics Experience
Attention to Detail
Report Writing
Dashboard Creation
Root Cause Analysis
Communication Skills
Presentation Skills
Project Management
Collaboration Skills
Problem-Solving Skills
Customer-Centric Approach

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in fraud analytics and data analysis. Emphasise your proficiency in SQL and Python, as well as any experience with fraud detection systems like ThreatMetrix.

Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about fraud prevention and how your skills can contribute to LexisNexis Risk Solutions. Mention specific projects or experiences that demonstrate your analytical abilities and attention to detail.

Showcase Your Analytical Skills: Provide examples of how you've used data analysis to identify trends or solve complex problems in previous roles. Highlight any experience you have in producing executive-level reports or presentations.

Prepare for Technical Questions: Be ready to discuss your technical skills in SQL and Python during the interview process. You may be asked to solve a problem or analyse a dataset, so brush up on your coding and analytical techniques.

How to prepare for a job interview at LexisNexis

✨Showcase Your Analytical Skills

As a Fraud Data Analyst, your ability to analyse data is crucial. Be prepared to discuss specific examples of how you've used SQL and Python in past roles to identify trends or solve complex problems. Highlight any experience you have with fraud detection systems like ThreatMetrix.

✨Prepare for Technical Questions

Expect technical questions related to data analysis and fraud detection. Brush up on your SQL queries and Python coding skills. You might be asked to solve a problem on the spot, so practice common scenarios that could arise in fraud analytics.

✨Demonstrate Your Communication Skills

You'll need to present findings to non-technical audiences, so practice explaining complex data insights in simple terms. Prepare to share examples of how you've successfully communicated your recommendations in previous roles, especially to executive-level stakeholders.

✨Research the Company and Industry

Familiarise yourself with LexisNexis Risk Solutions and their approach to fraud prevention. Understanding their products and the challenges they face in the industry will help you tailor your responses and show genuine interest in the role.

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