Data Science Analyst

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 Data Science 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 stakeholder 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.

Key skills/competency

• Data Science
• Machine Learning
• Statistical Modeling
• Python
• PySpark
• SQL
• Data Analysis
• Model Governance
• Risk Assessment
• Stakeholder Management