10 - 14 years

50 - 70 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Role Overview:

We are seeking a VP Analytics to lead the AI/ML & Analytics function, driving the companys data strategy and building production-grade machine learning models that power decision intelligence across BFSI and fintech ecosystems. The role requires collaboration with CXOs and regulatory stakeholders to ensure ethical, explainable, and scalable AI solutions.

Key Responsibilities:

  • Strategic Leadership:
  • Lead the AI/ML & Analytics Center of Excellence
  • Define and execute the analytics roadmap aligned with business strategy
  • Translate business challenges into scalable analytical solutions
  • Technical Excellence:
  • Build and deploy ML/DL models for fraud detection, credit underwriting, risk profiling, and compliance intelligence
  • Leverage alternative data sources such as DPI, telco, geospatial, social, and transactional data
  • Establish model governance and explainable AI (XAI) frameworks
  • Ensure robust, interpretable, and scalable model deployment with measurable business impact
  • Team & Capability Building:
  • Hire, mentor, and scale a high-performing data science and analytics team
  • Foster a culture of innovation, experimentation, and continuous learning
  • Evaluate emerging tools, technologies, and frameworks to maintain cutting-edge capabilities
  • Stakeholder & Regulatory Engagement:
  • Collaborate with CXOs, regulators, and BFSI leaders to align models with business and compliance objectives
  • Stay updated on RBI, UIDAI, NPCI, and global AI/ML regulatory frameworks

Required Qualifications & Experience:

  • 10+ years in Data Science / AI / Analytics leadership, preferably in BFSI, Fintech, or Risk Management
  • Proven track record of production-scale AI/ML systems
  • Strong expertise in machine learning, deep learning, NLP, data engineering, MLOps, and explainable AI (XAI)
  • Exposure to alternative data analytics and financial intelligence use cases
  • Advanced degree (Masters / PhD) in Computer Science, Data Science, Statistics, or related field preferred

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