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
