Job Description for Principal Data Scientist (relevant experience : 2 to 4 years)
- The finance industry has ignored billions of deserving individuals. We are a mission driven team of finance, analytics and technology professionals, focused on driving financial inclusion to serve the underserved across their credit, savings and financial needs.
- This role is responsible for development, monitoring and driving continuous enhancements to create best in Class models/algorithms to assess risk, churn and uptake across the customer life cycle
What We Look For
Expertise in Big Data/ML: Should be able to build cutting edge credit/churn/usage models using advanced algorithms in a Big data/Machine Learning environment. Should have hands on experience and track record of delivering projects in individual capacity.
- Process oriented: Should help in building a process that maximizes operating efficiency while maintaining risk across multiple lending cycles. There needs to be an obsession with collecting and analyzing data to drive business iterations and improvements.
- Willingness to go above and beyond: For start-ups the responsibilities and needs of the business change quickly. We're looking for someone who is not afraid to take on calculated risks and can deal with ambiguity.
Job Responsibilities
- Own the end-to-end delivery of models/algorithms across customer life cycle; Develop innovative credit risk / churn / usage models using mobile wallet transaction data, Call data, Telecom usage data, customer bureau data etc
- Partner with the Data Engineering team to define the required data pipelines to build and enhance the feature bank (foundational capability) to build/deploy the various ML algorithms both for batch and real time use cases
- Collaborate with credit policy/portfolio mgmt. team to drive P&L outcomes.
- Building reports for model monitoring and drive enhancements
Required Qualifications & Skills- Bachelor's degree in engineering from Tier 1 undergraduate college & specialization with strong credentials in computer programming / advanced system analysis (preferred)
- Solid expertise in end-to-end risk model lifecycle management (develop, deploy, monitor)
- Previous hands on in credit, fraud, churn model development and deployment
- Previous experience in PD/EAD/LGD model development/validation
- Experience in CSI/PSI model monitoring process
- Hands on experience in data extraction using SQL/Pyspark SQL; data cleaning, feature creation and building models using Py Spark/Python on Spark; Scale will be a plus.
- Previous exposure to below algorithms (preferably multiple):
- Logistic Regression
- Random forest
- XGBOOST
- Markov Chain
- PSI/CSI for model monitoring
- Strategy performance tracking and swap in / swap out analysis
- Strong entrepreneurial drive
- Good to have:
- Good business understanding of the fintech/consumer finance space
- Experience in working with credit card / personal lending space, esp fintech
- hands on experience in working with Telecom data
