Data Analytics Manager
6 days ago
Job Description:
- Build predictive models for credit risk, collections, fraud, and other business needs in the financial industry.
- Manage and own the entire end-to-end lifecycle of building, validating, deploying, and maintaining predictive models.
- Engineer predictive features from existing data to create refined customer profiles.
- Identify external data assets to integrate into the models.
- Conceptualize and design analytic model frameworks to solve business problems.
- Utilize strong communication skills to share insights and lead strategy.
- Ensure multiple stakeholders buy into the vision and execution of the analytics roadmap.
Requirements:
- Bachelor's degree or equivalent experience in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.).
- At least 4 years of hands-on experience in building, evaluating, and monitoring machine learning models for collection risk or consumer credit scoring.
- At least 2 years of leadership experience.
- Solid understanding of mathematics and statistics.
- Knowledge of machine learning concepts such as Bagging, Boosting, Recommendation Engines, etc.
- Expertise in feature creation on a variety of data types.
- Professional experience in developing machine learning analytics models.
- Understanding of trade-offs between model performance and business needs.
- Proven ability to formulate data science solutions to business problems.
- Proven ability to communicate with business stakeholders.
- Experience and knowledge in more than one domain (Risk Analytics, Marketing Analytics, Fraud Analytics, etc.) is a plus.
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