Business Data Analyst - Risk Investigator

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Description

Job description

As a Business Data Analyst at Experian Consumer Services, you will play a key role in identifying, designing, and implementing fraud detection strategies to assess customer engagement and transaction risk. You will support our financial services products by investigating and resolving fraud-related issues efficiently, with a strong focus on process improvement and automation. We are seeking an individual with an analytical mindset, strong collaboration skills, and the ability to navigate a complex technical environment. You will report to the Vice President of Risk & Fraud Management.

• Conduct customer and transactional fraud risk analysis, lead fraud-related projects, and oversee third-party vendor risk.
• Review existing controls, analyze performance metrics, and validate risk strategies.
• Collaborate across teams to conduct impact assessments and develop resolution plans.
• Serve as a subject matter expert (SME) in fraud prevention and maintain strategic partner relationships.
• Support internal audits and due diligence activities.

• Minimum of 2 years of experience monitoring and analyzing financial transactions to identify patterns indicative of fraud, with preferred exposure to the eCommerce or banking sectors. Demonstrated proficiency in using industry-standard fraud detection tools, including those for behavioral biometrics, device intelligence, transaction risk assessment, and identity verification.
• Working knowledge of industry best practices with a proven track record in fraud operations, risk reduction, process optimization, and enhancing customer experience with knowledge of regulatory requirements related to fraud and risk management.
• Proficiency in SQL and relational databases, including querying, extracting, and transforming large datasets for analysis.
• Applied understanding of data visualization tools maintaining dashboards for operational oversight (e.g., Tableau, Power BI).
• Familiarity with workflow automation and orchestration tools (e.g., Alteryx, Python, Airflow).
• Experience creating process documentation.