Senior Data Science Analyst - AVP- Chennai- Hybrid

Whether you’re at the start of your career or looking to discover your next adventure, your story begins here.  At Citi, you’ll have the opportunity to expand your skills and make a difference at one of the world’s most global banks.  We’re fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning.  You’ll also have the chance to give back and make a positive impact where we live and work through volunteerism.

Shape your Career with Citi

Citi’s Global Legal Affairs and Compliance (GLAC) empowers and protects Citi by providing legal, compliance, investigative, and security services to our firm.  We manage compliance risk, provide legal analysis and advice, protect Citi’s people and businesses, advocate for legal and regulatory outcomes that benefit our firm and our clients, and ultimately promote behavior that is consistent with Citi’s mission and culture.

The Data Science Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.
Responsibilities:

As a Senior Data Scientist, you will be a crucial part of our team, responsible for developing and implementing advanced analytical models and solutions. Your daily activities will involve and leveraged following tools/techniques:

• Strong coding skills: Proficiency in Python, PySpark, and SQL for data analysis and model development.
• Big data expertise: Working knowledge of big data platforms like Cloudera and Databricks.
• Model development: Experience in building and deploying machine learning and AI models.
• Generative AI knowledge: Familiarity with generative AI techniques and their applications.
• Collaboration: Working with cross-functional teams to identify opportunities and deliver data-driven insights.

• Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.
• Mines and analyzes data from various banking platforms to drive optimization and improve data quality.
• Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan.
• Consults with business clients to determine system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives.
• Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions.
• Leads system change process from requirements through implementation; provides user and operational support of application to business users.
• Formulates and defines systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards.
• Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams.
• Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impacts.
• Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information.
• Performs other duties and functions as assigned.
• 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.
• Experience with generative AI techniques and applications is preferable.

Qualifications:

• 5-8 years experience in business and data analysis, process improvement and project management
• Ability to effectively use complex analytical, interpretive and problem solving techniques.
• Demonstrated interpersonal, verbal and written communication skills.
• Methodical attention to detail
• Experience using tools for statistical modeling of large data sets
• Hands on coding experience with Python, SQL is mandatory (proficiency with Libraries such as Pandas, NumPy required).
• Experience using tools for statistical modeling of large data sets.
• Expert background in utilizing SQL/Python to extract, manipulate, and analyze datasets.
• Preferable experience with tools such as Tableau, PySpark, Airflow, Git, JIRA and Confluence.
• Experience in Data Modelling, ETL technologies, Data pipeline.
• AI and machine learning experience preferred.
• Experience with creating data visualizations to communicate metric performance.
• Experience building data infrastructure and implementing reporting solutions.
• Experience with statistical analysis or data modeling techniques, including: hypothesis testing, experiment design, and common regression and classification algorithms.
• Having Python Certification is added advantage.

Education:

• Bachelor’s/University degree or equivalent experience

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:

Technology

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Job Family:

Data Science

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Time Type:

Full time

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