Senior Data Analyst

Lexis Nexis; City Of London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading risk assessment firm in London is seeking a Senior Fraud Data Analyst to leverage global data for fraud detection and provide actionable insights to enterprise customers. Responsibilities include investigating suspicious behavior, utilizing SQL and Python for data analysis, and collaborating with various teams. The role offers a generous benefits package and supports employee well-being.

Benefits

Generous holiday allowance

Health screening

Wellbeing programs

Life Assurance

Competitive pensions scheme

Employee Assistance Programme

Qualifications

• Experience in fraud, financial crime, security, or payments.
• Excellent analytical skills with experience in SQL and Python.
• Ability to work with large and small datasets.

Responsibilities

• Review complex fraud cases and provide actionable recommendations.
• Apply SQL and Python to analyse customer data.
• Communicate professionally with customers and present findings.

Skills

Fraud investigation

Data analysis

SQL

Python

Customer engagement

Attention to detail

Tools

ThreatMetrix

Featurespace

BioCatch

Job description

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

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 underline the value of your recommendations by leveraging your deep experience with operational measures within industry and your ability to quickly translate customers’ fraud KPIs into opportunities. You’ll leverage a real-time platform analysing 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 person connected to it. You’ll continually collaborate with customer-facing account teams, external business leaders and risk managers to shape world-class fraud solutions. The comprehensive solutions that you build will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue.

Responsibilities

• Fraud Investigation: Review complex fraud cases to uncover trends and provide actionable recommendations that help customers reduce risk and build trust.
• Data Analysis: Apply SQL and Python to analyse customer data, improve fraud detection accuracy, and minimise false positives. Deliver insights through clear reports and implement rule changes in the ThreatMetrix engine.
• Consulting Approach: Understand customer needs across industries through effective questioning. Share best practices with fraud and risk professionals.
• Customer Engagement: Communicate professionally with customers via phone, email, and chat, ensuring a positive experience.
• Storytelling with Data: Present findings clearly to technical and non-technical audiences, using data to support decision-making.
• Continuous Learning: Stay up to date on cybercrime trends such as account takeover, scams, social engineering, and money laundering.
• Team Contribution: Share knowledge and support the development of the wider analytics team.
• Innovation: Explore new ways to address complex fraud challenges and contribute to research on emerging threats.
• Collaboration: Work closely with teams across Product, Engineering, Sales, and Professional Services to refine and improve fraud strategies.

Requirements

• Experience in fraud, financial crime, security, or payments, ideally within large organisations.
• 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 judgement.
• 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. These are some of the benefits we are delighted to offer:

• Generous holiday allowance with the option to buy additional days
• Health screening, eye care vouchers and private medical benefits
• Wellbeing programs
• Life Assurance
• Access to a competitive contributory pensions scheme
• Save As You Earn share options scheme
• Travel Season ticket loan
• Electric Vehicle Scheme
• Optional Dental Insurance
• Maternity, paternity and shared parental leave
• Employee Assistance Programme
• Access to emergency care for both the elderly and children
• RECARES days, giving you time to support the charities and causes that matter to you
• Access to employee resource groups with dedicated time to volunteer
• Access to extensive learning and development resources
• Access to employee discount schemes via Perks at Work

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