Data Science Analyst
at Citi
Posted 4 hours ago
No clicks
- Compensation
- Not specified INR
- City
- Bengaluru
- Country
- India
Currency: INR
Data Science Analyst at Citi in Bengaluru will work with large and complex data sets using Python, PySpark and SQL to build modeling solutions for various business requirements. The role focuses on model building, validation, implementation and governance across multiple portfolios. You will document data requirements, perform data cleaning and exploratory data analysis, and apply statistical models and machine learning techniques. You will collaborate with team members and business partners to deliver model-driven solutions while ensuring compliance with Citi standards and risk controls.
Data Science Analyst
Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
Job Overview
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.
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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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