Job Description –
Looking for Credit Data Scientist L3
MAJOR DUTIES/RESPONSIBILITIES
- Mine and analyze large amounts of traditional credit data and/or alternative data to identify trends and patterns
- Partner with the business leaders in the organization to identify business needs (i.e. augment underwriting strategy, optimize marketing strategy, etc.), identify data required to solve those needs, and build predictive models to optimize solution and craft strategies
- Work closely with credit underwriting and marketing teams to propose solutions and business strategies
- Present information and findings using data visualization techniques
- Coordinate across business functions to implement and deploy models
- Develop monitoring tools and reports to monitor model performance post-deployment
BASIC QUALIFICATIONS:
- BS/MS in Data Science, Business, Mathematics, Finance, Economics, Statistics, or a similar quantitative/technological discipline
- Minimum of 5 years of experience in a data mining, modeling, and analysis or equivalent work experience
- Good knowledge of traditional and advanced modeling techniques (i.e., machine-learning, etc.)
- Strong knowledge of statistics or similar quantitative analytics
- Highly proficient with a variety of databases
- Advanced programming proficiency in SQL, Python, SAS, and/or R required
- Advanced skills in MS Excel and PowerPoint
- Basic understanding Profit & Loss Drivers
- Advanced knowledge of forecasting techniques and predictive analytics
- Candidate should have excellent written and verbal communication skills and be comfortable presenting work to peers, cross functional businesses & Senior Management
Skills Required – Credit Data Scientist
Qualification–
UG: Any Graduate - Any Specialization
PG: Any Postgraduate - Any Specialization
Shift timings – Under 24/7 working environment (with rotating shifts)