Data Insights Leader

1 week ago

Mumbai, Maharashtra, India beBeeRisk Full time ₹ 5,00,000 - ₹ 8,00,000
Job Description

We are seeking a highly skilled Data Science Manager to lead our Modeling Center of Excellence. As a key member of our team, you will drive data-driven initiatives that empower strategic business decisions through model building and implementation.

Your expertise will contribute to developing advanced analytical models, optimizing credit risk processes, and implementing innovative solutions that enhance our lending operations.

Key Responsibilities
  • Data Model Development: Design, develop, and deploy machine learning models and analytical algorithms to support credit risk assessment, behavioral scoring, collection prioritization, customer propensity modeling, and other critical lending decisions.
  • Data Analysis: Analyze complex datasets to identify patterns, trends, and emerging risks, delivering actionable insights through models that inform business strategies and early warning systems.
  • Collaboration: Collaborate closely with technology teams to enhance data infrastructure and optimize business workflows, ensuring seamless integration and production deployment of scalable ML models.
  • Team Leadership: Lead, mentor, and guide a team of junior analysts and data scientists in delivering high-quality, impactful analytical frameworks and models.
  • Innovation: Explore and incorporate alternative data sources and innovative data-driven techniques to uncover new opportunities and refine credit risk for improved portfolio performance.
Requirements
  • 5 to 7 years of professional experience in Risk Analytics or related data science roles, preferably within the BFSI sector.
  • Bachelor's or Master's degree in Engineering, Economics, Statistics, Mathematics, or a related quantitative discipline; a preference for candidates with an engineering background.
  • Proficiency in SQL for complex data querying and thorough data analysis.
  • Strong programming skills in Python and/or R, with hands-on experience applying statistical algorithms and machine learning techniques in real-world business contexts.
  • Experience in scorecard development, no-code low code ML development platforms, portfolio monitoring, or policy analytics is highly desirable.
  • Prior experience mentoring junior team members is an advantage.

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