Skills :
4 to 8 years of relevant Analytics experience at one or more Financial Services firms, E-commerce, Retail or Consulting with exposure to one or more of the following areas:
- Customer Analytics
- Retail Analytics
- Collections and Recovery Analytics
- Credit Risk Ratings
2.Proven background in at least one of the following - Logistic regression models, Linear regression models, Stochastic models, Bayesian - Modeling, Classification Models, Cluster Analysis, Neural Network, Non-parametric Methods, Multivariate Statistics
3.Proficiency in statistical and other tools/languages - R, S-plus, SAS, STATA;
4.Familiarity with relational databases and intermediate level knowledge of SQL; Experience working with large datasets and tools like MapReduce, Hadoop, Hive, etc.
5.Ability to synthesize unstructured data and find actionable themes/insights using SPSS/Python/R.
6.Strong problem-solving skills. Ability to connect business requirements to data-mining objectives and business benefit. Demonstrated ability in gathering requirements, designs, plans, and estimates
7.Aptitude to learn and ability to think creatively to solve real-world business problems
8.Proficient verbal and written communication skills in English
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