Partner with client stakeholders to define business problems and develop data-driven solutions
Perform exploratory and statistical analysis to uncover trends, risks, and growth opportunities
Work with large datasets using SQL, Python; ensure data integrity and interpretability
Present insights, hypotheses, and recommendations clearly to cross-functional teams
Align analytics solutions with regulatory and business rules in the U.S. banking context
Collaborate with Proclinks internal teams in data engineering and AI / ML productization
Required Qualifications :
4 to 6 years of hands-on experience in analytics or data science in BFSI domain, preferably in credit card acquisition fraud
Expertise in SQL and Excel
Prior experience working with U.S.-based clients in the BFSI space
Experience in predictive modeling, customer segmentation
Excellent communication and problem-solving skills
Bachelors or Masters degree in Engineering, Statistics, Economics, Business Administration or related fields
(ref : hirist.tech)
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Fraud Analyst • Hyderabad
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