Description

Work extensively with internal and external stakeholders, identifying and nurturing partnerships to achieve business targets. Role & responsibilities . Proactively work with business executives and various departmental heads across the business/geographies to provide advanced analytic data modeling systems for business growth Develop and strengthen existing business and credit scorecards across multiple lending products Work with a team of high-performing Data Scientists and cross-functional teams to identify business opportunities, optimize product performance and marketing efforts Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats Translate high level business requirements/problems into sound and comprehensive analytical framework through appropriate usage of advanced statistical/mathematical techniques and successfully deliver the solutions. The ideal candidate: Highly driven and motivated individual with ability to get hands-on where required Strong business acumen and interpersonal communication skills Good understanding of Financial Products and Credit models Ability to lead a team in a fast-paced environment Strong knowledge in at least one of the following languages (R/Python) Qualification and Experience: Bachelor degree/Masters Degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) 10+ years of relevant industry experience (NBFC/Lending) in a data science/advanced analytics role Data Science fundamentals in Machine Learning, Big Data, Data Visualization, Statistical analysis and computing.

Role and Responsibilities

• Work extensively with internal and external stakeholders, identifying and nurturing partnerships to achieve business targets. Role & responsibilities . Proactively work with business executives and various departmental heads across the business/geographies to provide advanced analytic data modeling systems for business growth Develop and strengthen existing business and credit scorecards across multiple lending products Work with a team of high-performing Data Scientists and cross-functional teams to identify business opportunities, optimize product performance and marketing efforts Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats Translate high level business requirements/problems into sound and comprehensive analytical framework through appropriate usage of advanced statistical/mathematical techniques and successfully deliver the solutions. The ideal candidate: Highly driven and motivated individual with ability to get hands-on where required Strong business acumen and interpersonal communication skills Good understanding of Financial Products and Credit models Ability to lead a team in a fast-paced environment Strong knowledge in at least one of the following languages (R/Python) Qualification and Experience: Bachelor degree/Masters Degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) 10+ years of relevant industry experience (NBFC/Lending) in a data science/advanced analytics role Data Science fundamentals in Machine Learning, Big Data, Data Visualization, Statistical analysis and computing.