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For Companies At a Glance
- Tasks: Analyse data to detect fraud and provide insights for enterprise clients.
- 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 impact by reducing fraud and enhancing customer experiences across various sectors.
- Qualifications: Proficient in Python and SQL; experience with BI tools is a plus.
- Other info: Work with global teams and develop policies to protect revenue.
The predicted salary is between 36000 - 60000 £ per year.
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
Fraud Data Analyst employer: RELX
Contact Detail:
RELX 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 risk assessment. 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 analysis space, especially those who work with platforms like ThreatMetrix. Engaging with industry experts can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Brush up on your SQL and Python skills by working on real-world projects or contributing to open-source initiatives. Practical experience will set you apart and show that you're proactive about your skill development.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data analysis to solve problems in previous roles. Being able to articulate your thought process and results will showcase your analytical capabilities effectively.
We think you need these skills to ace Fraud Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis, particularly in fraud detection. Emphasise your proficiency in Python and SQL, and mention any relevant BI tools you've used, such as Tableau or Power BI.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about fraud detection and how your skills align with the responsibilities of the Fraud Data Analyst role. Mention specific experiences where you've successfully identified trends or mitigated risks.
Showcase Your Analytical Skills: Provide examples in your application that demonstrate your analytical and problem-solving skills. Discuss any projects where you used data to drive decisions or improve processes, especially in risk or fraud contexts.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail, particularly your experience with SQL and Python. You may be asked to solve problems or analyse data during the interview process, so brush up on relevant concepts and tools.
How to prepare for a job interview at RELX
✨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, especially in relation to fraud detection and data analysis.
✨Demonstrate Analytical Thinking
Prepare examples that showcase your analytical and problem-solving abilities. Discuss how you've identified trends in data or resolved complex fraud cases in previous roles, as this will resonate well with the interviewers.
✨Familiarise Yourself with BI Tools
Since experience with BI tools like Tableau or Power BI is beneficial, brush up on your knowledge of these platforms. Be ready to explain how you've used them to create reports or dashboards that provide insights into fraud detection.
✨Prepare for Collaborative Scenarios
Given the collaborative nature of the role, think of examples where you've worked with cross-functional teams. Be ready to discuss how you contributed to projects involving product, engineering, or sales teams, and how you maintained a customer-centric approach.
