Job Purpose: Responsible for executing analytics projects from credit risk and BFSI domains. Projects can range from data analysis or predictive analytics, model development and model monitoring etc. but not limited to these varieties of work. Reporting To:Project Lead/ AVP Analytics Daily Operations:· Statistical analysis and hypothesis testing.
· Develop understanding of data from different sources
· Explore datasets and recommend actionable based on insights
· Automate set of codes for recurring activities/reporting
· Develop and implement the desired statistical/non-statistical methodologies in alignment with CRIF approach and standards.
· Document the outcome of statistical/non-statistical outcome.
· Present the analysis to clients/internal stakeholders.
· Producing reports and charts communicating trends within data to non-specialists
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 interpersonal skills and team player
· Outstanding attention to detail.
· Proven ability to meet established deadlines
· Good at programming in one of the languages out of SAS, R, Python, PySpark
· Quick learner and good at multitasking.
· Written and verbal communication skills.
· Proficient in MS Word, Excel, Access, and Power Point.
Preferred Qualifications:· Education: Bachelor/Masters in Statistics/Maths/Economics/Operation Research, Engineering from leading institutions, or equivalent to these degrees.
· 2-5 years’ experience in analytics modelling techniques (regression, machine learning.), Knowledge of credit risk and BFSI domain is a plus
Job Purpose:
Responsible for executing analytics projects from credit risk and BFSI domains. Projects can range from data analysis or predictive analytics, model development and model monitoring etc. but not limited to these varieties of work. Reporting To:Project Lead/ AVP Analytics Daily Operations:· Statistical analysis and hypothesis testing.
· Develop understanding of data from different sources
· Explore datasets and recommend actionable based on insights
· Automate set of codes for recurring activities/reporting
· Develop and implement the desired statistical/non-statistical methodologies in alignment with CRIF approach and standards.
· Document the outcome of statistical/non-statistical outcome.
· Present the analysis to clients/internal stakeholders.
· Producing reports and charts communicating trends within data to non-specialists
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 interpersonal skills and team player
· Outstanding attention to detail.
· Proven ability to meet established deadlines
· Valuable at programming in one of the languages out of SAS, R, Python, PySpark
· Quick learner and good at multitasking.
· Written and verbal communication skills.
· Proficient in MS Word, Excel, Access, and Power Point.
Preferred Qualifications:· Education: Bachelor/Masters in Statistics/Maths/Economics/Operation Research, Engineering from leading institutions, or equivalent to these degrees.
· 2-5 years’ experience in analytics modelling techniques (regression, machine learning.), Knowledge of credit risk and BFSI domain is a plus
📌 Analytics Team (Pune)
🏢 CRIF
📍 Pune