Analytics Manager – Credit Risk Modeling
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Job Description
Quant Analytics Manager leading the development and validation of predictive and machine-learning models in the financial services industry. Ensuring data efficiency and recommending solutions based on analytics expertise.
Responsibilities:
- Lead the development and validation of predictive and machine-learning models for business needs
- Create and leverage models, inferential statistics, and prescriptive analysis
- Recommend solutions based on understanding of the context, connections, and conclusions
- Reviews deliverables; proactively coaches others on approach and work product
- Make continuous improvements to data procedures, including data efficiency
Requirements:
- Master’s degree in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of relevant experience; or Bachelor’s degree in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 6 years of relevant experience
- 10 or more years developing scorecard models in the financial services industry in credit risk management or fraud
- Understanding of best practices for capturing/retaining data
- Advanced Microsoft Office Suite
- SQL/NoSQL Relationship data structure
- Advanced Python/R/SAS
Benefits:
- Health insurance
- 401(k) matching
- Flexible work arrangements
- Professional development opportunities
- Remote work options
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