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Job Description
Structured overview of role & requirementsAbout This Role
Manage and analyze customer lifecycle functions including Acquisition, Account Management, Fraud, and Collections strategies within the Credit team.
Use data science and analytics to deliver strategic insights, monitor key credit portfolio risk trends, and support cross-functional projects to enhance strategy and performance.
Drive process efficiency improvements through automation and simplification, and present findings and strategies to senior management.
Minimum Requirements
Bachelor’s degree in a quantitative discipline such as Statistics, Mathematics, or Engineering.
Minimum academic record of 7 CGPA.
Experience with Microsoft Excel and PowerPoint; comfort working with large, complex datasets from multiple sources.
Work Experience Required: Relevant internship, co-op, or equivalent experience. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Able to operate independently and collaborate effectively in team settings, demonstrating project management and communication skills.
Skilled in synthesizing diverse data to develop actionable credit strategies and present insights clearly to leadership.
Experienced in data mining, ad-hoc analysis, and capable of contributing value-added insights on credit portfolio risks and performance.