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- Tasks: Analyze data to investigate fraud and provide actionable insights for customers.
- 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 EMEA languages is a plus; thrive in a fast-paced, dynamic setting.
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 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
✨Tip Number 1
Familiarize yourself with the specific fraud detection tools mentioned in the job description, such as ThreatMetrix and BioCatch. Understanding how these platforms work will give you an edge during interviews and show your genuine interest in the role.
✨Tip Number 2
Brush up on your SQL and Python skills, as they are crucial for this position. Consider working on personal projects or contributing to open-source projects that involve data analysis to demonstrate your proficiency.
✨Tip Number 3
Prepare to discuss real-world examples of how you've identified trends and actionable insights in previous roles. Being able to articulate your thought process and the impact of your findings will set you apart from other candidates.
✨Tip Number 4
Network with professionals in the fraud analytics field, especially those who have experience with LexisNexis Risk Solutions. Engaging with current employees can provide valuable insights into the company culture and expectations for the role.
We think you need these skills to ace Fraud Data Analyst
Some tips for your application 🫡
Understand the Role: Take the time 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, as well as experience in fraud analytics.
Tailor Your CV: Customize your CV to highlight relevant experience in fraud strategy or analytics. Include specific examples of projects where you used SQL or Python to analyze data and mitigate fraud risks.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for fraud analytics and your understanding of the industry. Mention any experience with fraud detection systems and how you can contribute to LexisNexis Risk Solutions.
Highlight Communication Skills: Since the role involves delivering presentations and collaborating with various teams, emphasize your communication skills in both your CV and cover letter. Provide examples of how you've effectively communicated complex data insights to non-technical audiences.
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
Familiarize yourself with current trends in fraud analytics and risk management. Be ready to discuss how you can apply this knowledge to help the company mitigate risks and improve customer experiences.
✨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 demonstrate your analytical skills.
✨Communicate Effectively
Since you'll be presenting findings to non-technical audiences, practice explaining complex data insights in simple terms. This will show your ability to craft a narrative around data and engage with diverse stakeholders.
