Data Science Manager, Liquidity and Funding Management
Tasks
- Assemble multi-dimensional datasets
- Build liquidity risk models
- Collaborate with product teams for data-driven decision making
- Create dashboards and reports
- Design calculators for liquidity risk measures
- Develop machine learning algorithms
- Evaluate AI ML solution feasibility
- Lead analytics and reporting solutions
- Monitor tool performance and resolve issues
- Perform large scale data analysis
- Provide consulting, analytical, and technical support
- Recommend actions for business leaders
- Support team performance and employee development
Perks/Benefits
- Accident insurance
- Coaching
- Health insurance
- In-depth training
- Life insurance
- Retirement savings plan
- Tuition reimbursement
Skills/Tech-stack
AWS | Data Mining | Data Preprocessing | Data Visualization | Data Wrangling | Data-Driven Decision Making | Data-driven | Decision Making | Deep learning | MATLAB | Machine Learning | PySpark | Python | R | Risk Modeling | SAS | SPSS | SQL | Spark | Spotfire | Statistical modeling | Stress Testing | Tableau
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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