Job Description Role and Responsibilities: • Emphasis is on end-to-end delivery of analysis • Extremely comfortable working with data, including managing large number of data sources, analyzing data quality, and pro-actively working with client’s data/ IT teams to resolve issues Hands on experience on Machine Learning algorithms such as Logistic Regression, Random Forest, XG Boost • Use variety of analytical tools (Python, SQL, PySpark etc.) to carry out analysis and drive conclusions • Reformulate highly technical information into concise, understandable terms for presentations Candidate Profile: • Required skills: Python, SQL, Hive,PySpark, Hadoop, Tableau • 4- 6 years of consulting, analytics delivery experience • Experience in Banking and Financial Services domain is preferred. • Master’s or Bachelor's degree in math, statistics, economics, computer engineering or related analytics field • Very strong analytical skills with the demonstrated ability to research and make decisions based on the day-to-day and complex customer problems required • Experience of working in financial services and risk analytics domain, a plus • Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work • Outstanding written and verbal communication skills Job Location • 2 days work from Office, 3 days work from home