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.
Mandatory experience in BASEL, IFRS9 Developement, Wholesale Modelling, IRB Modelling
- 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 15-20years’ 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.
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 solid analytical and problem solving skills.
- Good knowledge of statistical methodologies like Linear/Logistic regression, segmentation methodologies (CHAID, CART), Random Forest etc.
Mandatory experience in BASEL, IFRS9 Developement, Wholesale Modelling, IRB Modelling
- 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 15-20years’ 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.
📌 Vice President- Analytics (Pune)
🏢 CRIF
📍 Pune