Data Analytics Manager (Machine Learning Financing)

Requirements

- Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)

- At least 4 years of hands-on experience in building, evaluating, and monitoring ML collection risk or consumer credit scoring models for financial products

- At least 2 years of leadership experience

- Solid understanding of mathematics and statistics

- Sound knowledge of machine learning concepts such as Bagging, Boosting, Recommendation Engines, etc in Financing Industry.

- Expert in feature creation on a variety of data types

- Professional experience in building machine learning analytics model development

- Understanding of trade-offs between model performance and business needs

- Proven experience to formulate data science solutions to business problems

- Proven ability to communicate with business and know business needs

- Work experience and knowledge of more than one domain is a plus - Risk Analytics, Marketing Analytics, Fraud analytics etc.

Job Descriptions

- Build predictive models for credit risk, collections, fraud, and other business needs in Financial Industry

- Manage and own the entire end-to-end lifecycle of building and validating predictive models along with their deployment and maintenance

- Engineer predictive features from existing data to build refined customer profiles. Identify external data assets to bring into the model mix

- Work backwards to conceptualize and design analytic model frameworks to solve business problems

- Strong communication skills to share your learnings, lead with the given strategy, get multiple stakeholders to buy into the vision and execution of the analytics roadmap