At a Glance
- Tasks: Analyze data to investigate fraud and provide actionable insights for clients.
- Company: Join LexisNexis Risk Solutions, a leader in risk assessment and fraud prevention.
- Benefits: Enjoy a collaborative environment with opportunities for professional growth and impactful work.
- Why this job: Make a real-world impact by reducing fraud losses and enhancing customer experiences.
- Qualifications: Experience in fraud analytics, proficiency in SQL, and knowledge of Python are essential.
- Other info: Fluency in additional EMEA languages is a plus.
The predicted salary is between 28800 - 43200 £ 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 - Italian 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 - Italian Speaking
✨Tip Number 1
Familiarize yourself with the latest trends in fraud detection and analytics. Understanding the current landscape will help you speak confidently about your insights 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 to showcase your abilities.
✨Tip Number 3
Network with professionals in the fraud analytics field. 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 experience with fraud systems like ThreatMetrix or similar tools. Being able to articulate your hands-on experience will set you apart from other candidates.
We think you need these skills to ace Fraud Data Analyst - Italian 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 focusing on SQL and Python proficiency.
Highlight Relevant Experience: In your application, emphasize any previous experience you have in fraud analytics or strategy. Provide specific examples of how you've used data analysis to identify trends and mitigate risks.
Showcase Technical Skills: Clearly outline your technical skills in SQL and Python. If you have experience with BI tools like SuperSet, PowerBI, or Tableau, make sure to mention that as well.
Craft a Compelling Cover Letter: Write a cover letter that not only summarizes your qualifications but also demonstrates your passion for the role. Discuss how your background aligns with LexisNexis Risk Solutions' mission and values.
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. Bring examples of how you've used these skills to analyze data and mitigate fraud in previous roles.
✨Understand the Fraud Landscape
Familiarize yourself with current trends in fraud detection and prevention, especially within the financial services and e-commerce sectors. This knowledge will help you demonstrate your understanding of the challenges faced by the company.
✨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 will showcase your analytical skills.
✨Communicate Effectively
Since you'll be delivering presentations to non-technical audiences, practice explaining complex data insights in simple terms. Highlight your ability to craft a narrative around data to make it relatable and actionable.