Senior Data Analyst
5 days ago
About Us
">We are Comviva Technologies, a leading provider of digital services to telecommunications companies worldwide. We offer a range of products and solutions that enable our clients to deliver innovative services to their customers.
">Job Description
">This Senior Data Analyst role is responsible for developing, monitoring and driving continuous enhancements to create best-in-class models/algorithms to assess risk, churn and uptake across the customer life cycle. The ideal candidate will have hands-on experience in credit, fraud, churn model development and deployment.
">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 various ML algorithms both for batch and real-time use cases
- Collaborate with credit policy/portfolio management team to drive P&L outcomes.
- Building reports for model monitoring and drive enhancements
Requirements
- 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
- 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;
- Strong entrepreneurial drive
Benefits
We offer a competitive salary of ₹15,00,000 per annum, depending on experience and qualifications. Other benefits include health insurance, flexible working hours and opportunities for professional growth and development.
">About You
">The ideal candidate will have a bachelor's degree in computer science, mathematics or statistics and at least 2 years of experience in data analysis and machine learning. You will be expected to have strong analytical skills, excellent communication skills and the ability to work effectively in a team environment.
">How to Apply
">If you are a motivated and results-driven individual looking for a new challenge, please submit your application with a resume and cover letter explaining why you are the ideal candidate for this role.
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