Senior Analyst

Role & responsibilities :

• 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

Preferred candidate profile :

• 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.

Technical Skills:

• 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