Senior Data Analyst

Data, Research & Analytics
Senior Data Analyst

• Location: London, London, City of, United Kingdom
• Contract Type: Regular
• Schedule: 35
• Job ID: R100924

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

About our Team: You will be part of a team of analysts using global data from the largest real-time fraud detection platform to optimize solutions for our enterprise customers.

About the role: As a Senior Fraud Data Analyst, you'll use global data from the largest real-time fraud detection platform to deliver valuable solutions for our enterprise customers. You will apply your expertise in fraud and large-scale data analysis to investigate suspicious behavior and provide insights that lead to immediate real-world impact. You will leverage your deep experience with operational measures within the industry and your ability to quickly translate customers' fraud KPIs into opportunities. You'll analyze billions of transactions per month across various industries including Financial Services, Insurance, E-Commerce, and On-Demand Services, gaining a unique perspective of the Internet and connected users. You will collaborate with customer-facing account teams, external business leaders, and risk managers to shape world-class fraud solutions, protecting billions in revenue from motivated attackers.

Responsibilities:

1. Fraud Investigation: Review complex fraud cases to uncover trends and provide actionable recommendations to reduce risk and build trust.
2. Data Analysis: Use SQL and Python to analyze customer data, improve fraud detection accuracy, and minimize false positives. Deliver insights through reports and implement rule changes in ThreatMetrix.
3. Consulting Approach: Understand customer needs across industries through effective questioning. Share best practices with fraud and risk professionals.
4. Customer Engagement: Communicate professionally via phone, email, and chat to ensure a positive experience.
5. Storytelling with Data: Present findings clearly to technical and non-technical audiences, supporting decision-making with data.
6. Continuous Learning: Stay updated on cybercrime trends such as account takeover, scams, social engineering, and money laundering.
7. Team Contribution: Share knowledge and support the development of the wider analytics team.
8. Innovation: Explore new methods to address complex fraud challenges and contribute to research on emerging threats.
9. Collaboration: Work closely with teams across Product, Engineering, Sales, and Professional Services to refine fraud strategies.

Requirements:

• Experience in fraud, financial crime, security, or payments, ideally within large organizations.
• Excellent analytical skills with experience in SQL and Python.
• Ability to work with large and small datasets to identify meaningful patterns.
• Experience with fraud detection tools (e.g., ThreatMetrix, Featurespace, Hunter, Iovation, BioCatch, Actimize Falcon).
• Skilled in creating reports for diverse audiences, including executives.
• Attention to detail, critical thinking, and sound judgment.
• Ability to manage multiple priorities in a fast-paced environment.
• Fluency in additional EMEA languages is a plus but not required.

Working for you: We know that your wellbeing and happiness are key to a long and successful career. Some benefits we are pleased to offer include:

• Generous holiday allowance with the option to buy additional days
• Health screening, eye care vouchers, and private medical benefits
• Life Assurance
• Access to a competitive contributory pension scheme
• Save As You Earn share options scheme
• Travel Season ticket loan
• Electric Vehicle Scheme
• Maternity, paternity, and shared parental leave
• Employee Assistance Programme
• Access to emergency care for elderly and children
• RECARES days for charity and cause support
• Employee resource groups with dedicated volunteering time
• Extensive learning and development resources
• Employee discounts via Perks at Work

We are committed to a fair and accessible hiring process. If you require accommodation or adjustments, please inform us through our support form or contact number provided.

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USA Job Seekers: We are an equal opportunity employer, considering qualified applicants without regard to race, color, creed, religion, sex, national origin, citizenship, disability, veteran status, age, marital status, sexual orientation, gender identity, genetic information, or other protected characteristics. EEO Know Your Rights .