Job Information
Citigroup Data Science Analyst in Bengaluru, India
Responsibilities:
Incumbents are required to work with large and complex data sets using a variety of tools (Python, PySpark, SQL etc.) to build modeling solutions for various business requirements
Primary focus areas would be Model building, model validations, model implementation and model governance related responsibilities for multiple portfolios
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
The analyst will work with other members in the team and business partners to jointly build model driven solutions using traditional methods (Linear, Logistic, Segmentation etc.) as well Machine Learning driven modeling solutions
Work with model governance & fair lending teams to ensure compliance of models in accordance with Citi standards
Appropriately assess risk when business decisions are made, demonstrating 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:
Technical Skills
Hands-on experience in PySpark/Python along with strong experience in SQL.
2-4 years of experience working with machine learning and statistical modeling techniques.
Understanding around deep learning techniques.
Experience working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.
Strong background in Statistical Analysis.
Capability to validate/maintain deployed models in production
Self-motivated and able to implement innovative solutions at fast pace
Experience in Machine Learning software frameworks
Experience in Credit Cards is preferred
Competencies
Strong communication skills
Multiple stake holder management
Strong analytical and problem-solving skills
Excellent written and oral communication skills
Strong team player
Control orientated and Risk awareness
Working experience in a quantitative field
Willing to learn and can-do attitude
Ability to build partnerships with cross-function leaders
Education:
- Bachelor's / Master’s degree in economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering etc. from a premier institute
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Job Family Group:
Decision Management
Job Family:
Specialized Analytics (Data Science/Computational Statistics)
Time Type:
Full time
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.