Key Responsibilities:
- Responsible for code execution as part of Model Governance
- Implementing Model controls such as performance monitoring & quality checks
- Model execution as per agreed frequency
- Creating detailed documentation on above Modeling activities for review by stakeholders
- Code hardening & automation.
Required Skills, Qualifications and Capabilities:
- 5-8 years of relevant work experience in data science
- Experience of hands-on data analysis using Python & Pyspark
- Self-sufficiency in querying and extracting data from Enterprise databases (Teradata, etc.), Hadoop platforms or AWS/Azure
- Ability to create project plans and track project status, & experience in Stakeholder management
- Excellent communicator able to convey information in an understandable, compelling, and persuasive manner to business partners and senior executives.
- Experience in developing and implementing data science models
- Financial services background preferred, but not required
Preferred Skills, Qualifications and Capabilities:
- Understanding of spatial data science and GIS applications (e.g., Esri, QGIS, PostGIS) preferred, but not required.
- Financial services background preferred, but not required
- Domain specific expertise including fraud/risk analytics, bank operations, and distribution strategy preferred, but not required
- Education: Bachelor's degree in a quantitative discipline such as business, finance, economics, engineering, statistics, information system, or mathematics; Master’s degree in a STEM field preferred