Suited to someone who has 3 to 4 years' experience core analytics function of a large bank / consulting firm and with experience handling large data volumes using data analysis tools and generating positive data insights.

What you'll do
Deliver high quality analytical and value-added services for the clients while following timelines as promised to the client.
You'll play an key role to Engage Business/Technical Consultants and delivery teams so that there is a shared understanding and agreement as to deliver proposed solution
You will Use analysis and customer insights to develop value propositions for customers
Develop and implement analytic models to detect and prevent fraud across products and fraud types
Design, build and implement existing and new fraud prevention solutions for all fraud problems.
Periodically monitor and optimize fraud solutions to protect clients. Ensure adherence of models as per regulatory model governance standards.




Work with key internal and external stakeholders and third parties to ensure a explicit view on fraud product performance and their impact on business.
Collaborate with clients to drive initiatives that influence fraud solutions and provide strategic support to incorporate fraud solutions.
Keep up to date on the latest fraud trends and technologies in data analytics and fraud detection
Provide SME expertise for fraud prevention and strategic usage of Experian fraud products to clients.

About Experian

Experian unlocks the power of data to create opportunities for consumers, businesses and society. We gather and analyse data in ways others can't. We help individuals take financial control and access financial services, businesses make smarter decision and succeed, lenders lend more responsibly, and organisations prevent identity fraud and crime. For more than 125 years, we've helped consumers and clients prosper, and economies and communities flourish - and we're not done. Our 17,800 people in 45 countries

📌 Data Modeler Ii Mumbai (India)
🏢 Experian Information Solutions
📍 India