Data Analyst – Business Intelligence & AI – SQL | Power BI/Tableau | Python | Automation | 3.5–7.5 Years
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Lead a team developing machine learning models to predict and manage agentic risk, with responsibilities including model development, performance tracking, case reviews, and identifying new modeling opportunities. Requires three or more years of credit or fraud risk experience, a postgraduate degree in management, statistics, mathematics, economics, or engineering, and proficiency in Python, PySpark, SQL, and BigQuery. Gen AI experience preferred.
Written from this posting by Neural Jobs AI. The full description is below.
Function Description:
Manager – Agentic Risk
Purpose of the role
The incumbent would be part of the Agentic Risk Modeling team reporting into Director – Agentic Risk Modeling and will lead a team of risk management professionals. The incumbent is expected to provide thought leadership and manage Agentic Risk decision science initiatives involving developing, documenting & implementing state-of-the-art ML Agentic risk prediction models, regularly tracking the performance of these models along with doing case reviews to identify innovative data science opportunities.
Specific responsibilities would include:
Provide people and thought leadership for Band 30s.
Past Experience:
3 or more years of Relevant/Related Work Experience in Credit & Fraud Risk with Demonstrated Track Record of Strong Performance.
Academic Background:
Post Graduate Degree in Management / Statistics / Mathematics / Economics / Engineering from a reputed institute.
Technical Skills/Platform Knowledge:
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American Express is a global payments and financial services company.
American Express issues consumer and commercial cards, operates a payment network, and provides merchant services, travel, rewards, lending, and expense-management products.
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