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Job Description

Key Responsibilities

  • Work with leading banks Risk Management teams on projects related to consumer and wholesale banking risk models.
  • Develop, fine-tune, and implement programs using PySpark, Python, Scala on Big Data/Hadoop platforms.
  • Enhance and deploy machine learning models based on business requirements.
  • Participate in feature engineering, model training, scoring, and retraining processes.
  • Architect and automate data pipelines and model jobs for production deployment.
  • Conduct sophisticated statistical analysis using bureau/vendor data, customer performance data, and macroeconomic data.
  • Implement code validation, model deployment, and system integration using distributed systems like Hadoop, Spark, and MapReduce.
  • Act as a liaison between business and IT to communicate requirements, constraints, and strategy.
  • Stay updated with regulatory requirements and ensure compliance in all implementations.

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About Company

A part of the Tata group, India's largest multinational business group, TCS has over 500,000 of the world’s best-trained consultants in 46 countries. The company generated consolidated revenues of US $22.2 billion in the fiscal year ended March 31, 2021, and is listed on the BSE (formerly Bombay Stock Exchange) and the NSE (National Stock Exchange) in India. TCS' proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index.

Job ID: 133342937

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