Fraud Data Analyst

RELX; London; On-site; GBP 45,000 - 65,000; Full time

Job summary

A global information and analytics company in London seeks a data analyst to enhance fraud detection efforts. The ideal candidate will leverage their expertise in Python and SQL to analyze suspicious behaviors. Responsibilities include reviewing complex cases, creating insightful reports, and collaborating with diverse teams. Strong analytical skills and a keen interest in fraud detection are essential. This role promises to deliver impactful solutions across various sectors.

Qualifications

• Strong analytical and problem-solving skills with a keen interest in fraud detection.
• Exceptional attention to detail to ensure high-quality project delivery.
• Experience in building external and executive reports and presentations.

Responsibilities

• Review complex fraud cases and recommend risk mitigation strategies.
• Utilize SQL and Python to enhance fraud detection and analyze data offline.
• Create dashboards and reports to demonstrate value tailored to clients.

Skills

Proficiency in Python

Proficiency in SQL

Experience with BI tools (Tableau, Power BI)

Analytical and problem-solving skills

Tools

Snowflake

Orchestration tools (Airflow, DBT)

Job description

About the Business: LexisNexis Risk Solutions is a key partner in risk assessment. Within our Business Services vertical, we offer solutions that help businesses grow revenue, enhance operational efficiency, and improve customer experience. Our solutions address challenges in Anti-Money Laundering, Identity Verification, Fraud and Credit Risk, and Customer Data Management. Learn more at risk.lexisnexis.com.

About our Team: You will join a team of analysts utilizing global data from a real-time fraud detection platform to optimize solutions for enterprise clients.

About the Role: Your data analysis expertise will investigate suspicious behaviors, providing insights that reduce fraud, lower customer friction, and increase profitability. You will work with a platform analyzing billions of transactions monthly across sectors like Financial Services, Insurance, e-Commerce, and On-Demand Services. Collaboration with product, engineering, account teams, and external leaders will be key. You will develop policies to combat motivated attackers and protect revenue.

Responsibilities:

• Review complex fraud cases, identify trends, document findings, and recommend risk mitigation strategies.
• Utilize SQL and Python to enhance fraud detection, reduce false positives, analyze data offline, and tune policies. Write rules into the ThreatMetrix decision engine and produce executive reports.
• Create dashboards and reports to demonstrate value, focusing on external-facing insights tailored to clients.
• Deliver detailed data stories and industry-leading presentations to diverse audiences.
• Plan and execute customer projects like root cause analysis, reporting, dashboarding, and health checks, maintaining a professional customer-centric approach.
• Collaborate globally with teams across product, engineering, sales, and professional services to improve practices.

Requirements:

• Proficiency in Python and SQL; Snowflake experience is a plus.
• Experience with BI tools such as Tableau, Power BI, or similar.
• Knowledge of orchestration tools like Airflow, DBT, or Google Cloud Dataflow is advantageous.
• Strong analytical and problem-solving skills with a keen interest in fraud detection.
• Exceptional attention to detail to ensure high-quality project delivery.
• Experience in building external and executive reports and presentations.
• Interest or experience in consulting within risk, fraud, or payments industries.

Learn more about our team here.

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