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- Tasks: Investigate fraud cases using data analysis and provide actionable insights.
- Company: Join LexisNexis Risk Solutions, a leader in risk assessment and fraud detection.
- Benefits: Enjoy a collaborative environment with opportunities for professional growth and development.
- Why this job: Make a real-world impact by reducing fraud losses and enhancing customer experience.
- Qualifications: Strong knowledge of Python and SQL; experience with BI tools is a plus.
- Other info: Work with global data and collaborate with diverse teams to redefine best practices.
The predicted salary is between 28800 - 48000 £ 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. 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
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 the current landscape will not only help you during interviews but also demonstrate your genuine interest in the field.
✨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 industry events or webinars to connect with potential colleagues and learn more about the challenges they face.
✨Tip Number 4
Prepare to discuss your analytical problem-solving approach in detail. Be ready to share examples of how you've used data to uncover insights or solve complex issues, as this will be key in demonstrating your fit for the role.
We think you need these skills to ace Graduate Fraud Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the role of a Graduate Fraud Data Analyst. Emphasise your knowledge of Python, SQL, and any experience with BI tools or fraud detection.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and fraud detection. Mention specific projects or experiences where you've successfully used your analytical skills to solve problems.
Showcase Your Technical Skills: In your application, clearly outline your proficiency in SQL and Python. If you have experience with Snowflake or BI tools like Tableau, make sure to include that as well, as it will strengthen your application.
Highlight Collaboration Experience: Since the role involves working with various teams, mention any past experiences where you've collaborated with others, especially in a technical or analytical context. This will demonstrate your ability to work effectively in a team 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, especially in relation to fraud detection or data analysis.
✨Demonstrate Analytical Thinking
Prepare to discuss how you approach problem-solving, particularly in complex fraud cases. Use examples that illustrate your analytical skills and your ability to identify trends and actionable insights from data.
✨Prepare for Scenario-Based Questions
Expect questions that present hypothetical fraud scenarios. Practice articulating your thought process on how you would investigate these cases, what tools you would use, and how you would communicate your findings.
✨Emphasise Communication Skills
Since you'll be delivering reports and presentations to non-technical audiences, practice explaining complex data insights in simple terms. Highlight any experience you have in creating executive-level reports or dashboards.
