Responsibilities :
- Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
- Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
- Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
- Incumbents in this role may often be referred to as Data Scientists
- Specialization in marketing, risk, digital and AML fields possible
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation , its clients and assets, by driving compliance with applicable laws, rules and regulations
- Adhering to Policy, applying sound ethical judgment regarding personal behavior,
- Conduct and business practices, and escalating, managing and reporting control issues with transparency.
Qualifications :
Skillsets : SAS, Python, Hive
- Analytics experience in Financial Services industry in Marketing/ Digital/ Customer experience areas
- Familiarity with Credit cards and Banking business
- Experience in usage of different analytical techniques, like segmentation, predictive modeling, time series forecasting, hypothesis testing, optimization etc.
- Experience in working with data from different sources & of different complexity
- No. of years experience: 4 - 7 Yrs
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