Lead Assistant Manager
1 week ago
• 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, Machine Learning, Credit Risk Modeling
•Experience with Debt Recovery and collections model would be a plus
• 2- 5 years of consulting, analytics delivery experience
• Experience in Banking and Financial Services domain
• 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
• 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
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