SAS Analytics & Modeling Role - Banking/Credit Cards

Looking for professionals with 3-5 years of experience into Statistical techniques/ Statistical modeling with hands on experience in SAS and expertise in Banking or Credit Cards dmain.

Responsibilities:

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

- Identifies and compiles data sets using a variety of tools (e.g. Python, Hadoop, Spark) 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 Fraud, 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:

- 3-5.5 years relevant experience

- Have the ability to retrieve and manipulation data

- Possess analytic ability and problem solving skills

- Working experience in a quantitative field

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

- Ability to build partnerships with cross-functional teams