Graduate Fraud Data Analyst

Graduate Fraud Data Analyst

London Full-Time 28800 - 48000 £ / 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 detection.
  • Benefits: Enjoy flexible working options and opportunities for professional growth.
  • Why this job: Make a real-world impact by reducing fraud losses and enhancing customer experience.
  • Qualifications: Strong skills in Python and SQL; experience with BI tools is a plus.
  • Other info: Collaborate with global teams and present findings to executive audiences.

The predicted salary is between 28800 - 48000 £ per year.

Job Description

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. You can learn more about LexisNexis Risk at the link below, risk.lexisnexis.com

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 behavior. 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 analyzing 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

  • Very good knowledge of Python and SQL (experience with Snowflake highly desirable)
  • Knowledge of BI tools such as Superset, Tableau , PowerBI or similar is desirable
  • Knowledge of orchestration tools such as Airflow, DBT or Google Cloud Dataflow is a bonus
  • Analytical and problem-solving skills, with a deep curiosity for fraud detection
  • Excellent 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

Learn more about the LexisNexis Risk team and how we work here

Graduate Fraud Data Analyst employer: LexisNexis Risk Solutions

At LexisNexis Risk Solutions, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Graduate Fraud Data Analyst, you will have access to cutting-edge tools and global data, enabling you to make a real impact in fraud detection while working alongside industry experts. We offer comprehensive training, career development opportunities, and a supportive environment that encourages personal growth and professional advancement, all within the vibrant setting of our dynamic team.
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Contact Detail:

LexisNexis Risk Solutions Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Graduate Fraud Data Analyst

✨Tip Number 1

Familiarise yourself with the latest trends in fraud detection and risk management. Understanding current challenges and solutions in the industry will help you engage in meaningful conversations during interviews.

✨Tip Number 2

Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that involve data analysis to showcase your abilities.

✨Tip Number 3

Network with professionals in the fraud detection and risk management sectors. Attend relevant webinars or local meetups to connect with industry experts who can provide insights and potentially refer you to opportunities.

✨Tip Number 4

Prepare to discuss your analytical approach and problem-solving strategies. Be ready to share examples of how you've used data to drive decisions or improve processes, as this will demonstrate your fit for the role.

We think you need these skills to ace Graduate Fraud Data Analyst

Data Analysis
SQL
Python
Fraud Detection
Attention to Detail
Problem-Solving Skills
Report Writing
Dashboard Creation
Communication Skills
Collaboration
Business Intelligence Tools (e.g., Tableau, PowerBI)
Orchestration Tools (e.g., Airflow, DBT)
Root Cause Analysis
Customer-Centric Approach

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills, particularly in data analysis, SQL, and Python. Emphasise any projects or roles that demonstrate your analytical and problem-solving abilities.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for fraud detection and risk management. Mention specific experiences that align with the responsibilities of the Graduate Fraud Data Analyst role and how you can contribute to LexisNexis Risk Solutions.

Showcase Technical Skills: In your application, clearly outline your proficiency in SQL and Python. If you have experience with BI tools or orchestration tools, be sure to mention these as they are desirable for the role.

Highlight Collaboration Experience: Since the role involves working with various teams, include examples of past collaborative projects. Demonstrating your ability to work well with others will show that you can thrive in a team-oriented environment.

How to prepare for a job interview at LexisNexis Risk Solutions

✨Showcase Your Technical Skills

Make sure to highlight your proficiency in Python and SQL during the interview. Be prepared to discuss specific projects where you've used these skills, and if possible, bring examples of your work or code snippets to demonstrate your capabilities.

✨Understand the Business Context

Familiarise yourself with LexisNexis Risk Solutions and their role in fraud detection. Understanding their products and how they help businesses mitigate risk will show your genuine interest in the company and the position.

✨Prepare for Data Analysis Questions

Expect questions that assess your analytical thinking and problem-solving abilities. Be ready to discuss how you would approach a complex fraud case, including the tools and methodologies you would use to analyse data and derive insights.

✨Practice Your Presentation Skills

Since the role involves delivering reports and presentations, practice explaining complex data findings in a clear and engaging manner. Tailor your explanations to suit non-technical audiences, as this will be crucial when communicating with clients.

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