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Tier-1 brand and metro location increase competition, role is somewhat specialized in data governance.
Data governance skills transfer across industries but credit/fraud risk context requires domain familiarity, so medium sensitivity.
Explicit 0–30 months requirement plus BigQuery and Python skills make shortlisting moderately strict.
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Support development and execution of data capabilities for customer management risk models like CDSS and TSR in the U.S. market.
Ensure availability of high-quality, reliable, and accessible data for model development, performance monitoring, and analytical needs.
Drive innovation in the data ecosystem using technologies such as GenAI, BigQuery, Python, and automation to simplify data access and improve efficiency.
Bachelor's or Master's degree in Economics, Statistics, Computer Science, Data Science, or related quantitative field.
0 to 30 months of relevant experience in analytics, data management, data governance, or related data capabilities.
Working knowledge of BigQuery and Python with ability to handle large datasets.
Work Experience Required: 0–30 months relevant experience.
Experience or aptitude to operate at the intersection of data, analytics, and risk management in a cross-functional team environment.
Ability to manage project deliverables and drive measurable business outcomes, indicating operational ownership.
Technical skills to leverage and innovate with advanced data technologies (GenAI, BigQuery, Python, automation) for scalable and efficient data solutions.