Lead Data Modeling Specialist
1 day ago
Join Yabx as a Lead Data Modeling Specialist, where you will be responsible for developing and deploying cutting-edge models to assess risk, churn, and uptake across the customer life cycle.
Job OverviewWe are looking for an experienced data scientist to join our mission-driven team. Our team is focused on driving financial inclusion to serve the underserved across their credit, savings, and financial needs.
About the RoleAs a Lead Data Modeling Specialist, you will own the end-to-end delivery of models/algorithms across the customer life cycle. This includes developing innovative credit risk / churn / usage models using mobile wallet transaction data, Call data, Telecom usage data, customer bureau data etc. You will also 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.
Responsibilities- Owning the end-to-end delivery of models/algorithms across the customer life cycle;
- Developing innovative credit risk / churn / usage models using mobile wallet transaction data, Call data, Telecom usage data, customer bureau data etc;
- Partnering 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;
- Collaborating with credit policy/portfolio management team to drive P&L outcomes;
- Building reports for model monitoring and drive enhancements;
- Solid expertise in end-to-end risk model lifecycle management (develop, deploy, monitor);
- Previous hands-on experience in credit, fraud, churn model development and deployment;
- 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;
- Previous exposure to below algorithms (preferably multiple): Logistic Regression, Random forest, XGBOOST, Markov Chain;
- Strong entrepreneurial drive;
- 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.
We offer a competitive salary range of $120,000 - $180,000 per annum, depending on experience.
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