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Job Description & How to Apply Below
CRIF is a global leader in credit bureau services, business information systems, and credit and risk management solutions to support banks and financial institutions, insurance companies, telecommunication, utilities and general businesses in every phase of the customer relationship cycle. From strategic planning to the final acquisition and management of the client's portfolio. CRIF also allows consumers to access their credit information and assists them in making more secure decisions in credit and real estate markets.
About the Role
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, alternate data related products etc. The incumbent will be expected to manage a team of analysts and oversee the execution of multiple projects in parallel.
Responsibilities
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 respect with both internal and external customers.
Qualifications
Bachelor/Masters in Statistics/Maths/Economics/Operation Research, Engineering from leading institutions, or equivalent to these degrees.
Minimum Experience:
7 years
Required Skills
Experience working in Indian Banks/ NBFCs/ Credit Bureaus/ Fintechs
Experience working with alternate data in Indian market for credit risk use cases – e.g bank statement data, GST data etc.
Experience in at least one of Application/ Behavioral/ Collection score type projects
Consulting/ Product Development/ Presales experience is a plus
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.
Very good programming knowledge in 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 relationships 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
7+ years’ experience of analytics modelling techniques (regression, machine learning.) applied in credit risk management and customer behaviour for financial services industries
Preferred Skills
Consulting/ Product Development/ Presales experience is a plus
Location:
Pune, Maharashtra, India
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