B.Tech/Master's with a strong quantitative underpinning, from a respected institution (e.g. IITs, NIT's, ISI, MDI etc.) with an excellent academic record.
- Proven performer with at least 2-6 years of advanced analytics experience including machine learning (predictive modelling techniques)
- Understanding of the analytics and corresponding compatible data needs; knowledge of the banking industry would be preferred;
- Experience and well versed in doing multivariate predictive modelling, machine learning and in analytics software such as R (must have) and good knowledge of SAS, SQL and Python would be preferred.
- Strategic and creative thinkers
- Very strong problem-solving skills, and quantitative / analytical thinking capabilities
- Excellent communication skills. able to grasp and communicate complex ideas clearly
- Willing to travel and work across client locations globally
- Proven leaders with the ability in inspire others, build strong relationships, and create a true followership, result-driven achievers
- Willing to work in a highly demanding and result-oriented team environment
- Collaborative team players, capable of working well with others but also autonomously with little direction
- Comfort with ambiguous and unstructured situations and fast changing situations, entrepreneurial
- Capable of carrying out multiple tasks or projects in parallel
Techniques : Random Forest, SVM, Gradient Boost Machine,KNN, RNN,Neural Network, Naive Bayes, GBM, XGBoost, Ridge Regression, etc.
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