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- Tasks: Analyze fraud cases and provide actionable insights to reduce risk and improve customer profitability.
- Company: Join LexisNexis Risk Solutions, a leader in risk assessment and fraud prevention.
- Benefits: Enjoy a collaborative work environment with opportunities for professional growth and impactful projects.
- Why this job: Make a real-world impact by protecting businesses from fraud while developing your data analysis skills.
- Qualifications: Experience in fraud analytics, proficiency in SQL, and knowledge of Python are essential.
- Other info: Fluency in Spanish is required; additional languages are a plus.
The predicted salary is between 36000 - 60000 £ per year.
Fraud Data Analyst
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 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 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:
- 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.
Learn more about the LexisNexis Risk team and how we work here
Fraud Data Analyst - Spanish Speaking employer: LexisNexis Risk Solutions
Contact Detail:
LexisNexis Risk Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fraud Data Analyst - Spanish Speaking
✨Tip Number 1
Familiarize yourself with the specific fraud detection tools mentioned in the job description, such as ThreatMetrix and Emailage. Having hands-on experience or even a basic understanding of these platforms can set you apart during discussions.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on small projects or exercises that involve data analysis to demonstrate your proficiency in these areas.
✨Tip Number 3
Prepare to discuss real-world examples of how you've identified trends or insights from data in previous roles. This will showcase your analytical skills and ability to apply them in a practical context.
✨Tip Number 4
Since the role involves collaboration with various teams, think about how you can highlight your teamwork and communication skills. Be ready to share experiences where you successfully worked with cross-functional teams to achieve a common goal.
We think you need these skills to ace Fraud Data Analyst - Spanish Speaking
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Fraud Data Analyst position. Understand the key responsibilities and required skills, especially the importance of SQL and Python proficiency.
Tailor Your CV: Customize your CV to highlight relevant experience in fraud analytics or strategy. Emphasize your skills in SQL and any experience with fraud detection systems like ThreatMetrix.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and fraud prevention. Mention specific examples of how you've used data to drive insights and recommendations in previous roles.
Highlight Language Skills: Since the role requires Spanish speaking abilities, make sure to clearly state your language proficiency in your application. If you have experience working in multilingual environments, mention that as well.
How to prepare for a job interview at LexisNexis Risk Solutions
✨Showcase Your Data Skills
Be prepared to discuss your experience with SQL and Python in detail. Highlight specific projects where you used these skills to analyze data and uncover insights, especially in fraud detection.
✨Understand the Fraud Landscape
Research current trends in fraud analytics and familiarize yourself with tools like ThreatMetrix and others mentioned in the job description. This will demonstrate your knowledge and interest in the field.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical fraud cases or analyze data sets. Practice articulating your thought process clearly and logically, as this is crucial for a role focused on investigation and analysis.
✨Communicate Effectively
Since you'll be presenting findings to non-technical audiences, practice explaining complex data insights in simple terms. This skill will be key in demonstrating your ability to craft a story through data.
