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Comviva - Data Scientist - Big Data/Machine Learning
4 months ago
Work Mode- Work From office
Job Description :
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 will lead a team of data scientists which 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.
- Team Leadership : Should have a track record of leading people effectively functionally driving deliverables as well as nurturing, motivating, and developing the team to drive employee engagement. 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.
- Define a roadmap for data collection across telcos, credit bureaus, merchant partners & other 3rd party data sources; deliver on prioritized initiatives to continuously refine models
- 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 :
- 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.
- Experience leading a data science team with functional 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.
