Must have:
- Analytics experience of 2+ yrs in Financial Services industry
- Strong verbal and written communication skills
- Strong attention to detail
- Must have working knowledge of SQL/Hive and Python
- Familiarity with Hadoop and big other big data platforms
- Willingness to assume extended responsibility
Good to have:
- Should have expertise in data processing, time series, modeling packages and frameworks - Pandas, Scikit Learn
- Should have at least 2+ years experience in Risk Modelling. Experience on all 3 areas - Credit, Fraud and Collection - across the customer lifecycle would be preferred in the Project lead
- Should have worked on one or more modeling techniques - GBM, Regression, Decision Trees, Random Forest, K Means Clustering, etc.
Work Requirements:
- Can join us within next 2 to 4 weeks
- 2 Saturdays would be working in a month.
- Experience from the financial industry (Risk + Analytics).
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