Assistant Vice President/Project Lead

  • Pune
  • Crif

Job Title : AVP/PL, Data Analytics


Job Purpose: Responsible for managing and driving analytics projects from credit bureau and BFSI domains. Analytics projects can range from projects involving complex descriptive and predictive analysis, including but not limited to, development and maintenance of credit risk/ credit bureau scorecards, BI dashboards etc. The incumbent will be expected to manage a team of analysts and oversee the execution of multiple projects in parallel


Daily Operations:

  • Supervise and directly manage projects with high analytical or organizational complexity
  • Design, develop and implement all the required statistical methodologies and choose and develop the one needed in alignment with CRIF approach and standards.
  • Work with stakeholders to define project roadmap and timelines
  • Collaborate in sales/presales/delivery activities with internal/external clients
  • Maintain utilization of the team in optimum ways to maximize revenues
  • Hire, train and coach teams/individuals
  • Collaborate with other cross organizational stakeholders to ensure smooth functioning


Knowledge / Skills :

  • Passionate about data and strong analytical and problem solving skills.
  • Good knowledge of statistical methodologies like Linear/Logistic regression, segmentation methodologies (CHAID, CART), Random Forest etc.
  • Good at programming in at least one of the language out of SAS, R, Python, PySpark
  • Proven ability to establish and maintain deadlines.
  • Ability to identify risks in delivery and take corrective measures to mitigate
  • Proven ability to create trust relationship with stakeholders
  • Proven ability in people management and stakeholder management
  • Able to work within and across diverse teams (Sales, Analytics, Consulting, Software) to build consensus and find solutions.
  • Excellent communication and negotiation skills



Preferred Qualifications :

  • Minimum of 8-10 years’ experience of analytics modelling techniques (regression, machine learning.) applied in credit risk management and customer behaviour for financial services industries
  • Bachelor/Masters in Statistics/Maths/Economics/Operation Research, Engineering from leading institutions, or equivalent to these degrees.

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