Senior Data Scientist

Comviva
Gurugram, Haryana, India

Key Responsibilities

  • End-to-end risk model lifecycle manment — develop, deploy, monitor.
  • Data extraction using SQL / PySpark SQL; data cleaning and feature engineering.
  • Model building using PySpark / Python on Spark
  • Proficiency in Logistic Regression, Random Forest, XGBoost, Markov Chain
  • Strategy performance tracking and swap-in / swap-out analysis
  • 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.

Mandatory Skills

  • Expertise in Big Data/ML: Build cutting-edge credit, churn, and usage models using advanced Machine Learning algorithms in a Big Data environment.
  • Should have hands on experience and track record of delivering projects in individual capacity.
  • Should be 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 analysing 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.
  • Hands-on experience in credit, fraud, and churn model development & deployment
  • PD / EAD / LGD model development and validation
  • CSI / PSI model monitoring process experience
  • Track record of delivering projects independently
  • 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; ability to handle ambiguity and take calculated risks

Desirable Skills

  • Business understanding of the fintech / consumer finance space
  • Experience in credit card or personal lending, especially in fintech
  • Hands-on experience working with Telecom data

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