Responsibilities:

• Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies


• Incumbents should have expertise in atleast one of Python or Pyspark


• Expertise in Machine Learning and Statistical Modeling is involved in the day to day working of the job


• 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 and safeguarding Citigroup, 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:

• 6-9 years relevant experience


• Experience in Machine Learning and Statistical Modeling


• Expertise in Python and /or Pyspark


• Exposure to Big Data Environment


• Have the ability to retrieve and manipulation data


• Possess analytic ability and problem solving skills


• Working experience in a quantitative field


• Willing to learn and can-do attitude


• Excellent communication and interpersonal skills, be organized, detail oriented, flexible and adaptive to matrix work environment


• Ability to build partnerships with cross-function leaders