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Key skills for this role
The Spec Analytics Analyst 2 is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Research and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team.
Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 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.
The Spec Analytics Analyst 2 is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Research and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team.
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The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The team works on business problems focused on enhancing client experience, driving acquisitions, cross-sell and revenue growth.
The team extracts relevant insights, identifies business opportunities, converts business problems into analytical frameworks, uses big data tools and AI/ML techniques to drive data driven business outcomes in collaboration with business and product partners.
The team works on building and operating Generative AI and deep learning solutions - Design, implement, and scale production‑grade AI applications end‑to‑end—from data ingestion and model services to user‑facing interfaces, observability, and secure deployments.
The role will be Spec Analytics Analyst 2 (C10) in the TTS Analytics team
The role will report to the AVP or VP leading the team
The role will involve working on
Multiple analyses through the year on business problems across the client experience for the TTS business
This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (unstructured data like emails, call transcripts, etc., client profile & engagement data, transactions & revenue data, digital data, etc.) to provide data driven insights to business partners and functional stakeholders
Translating business data into structured, usable formats and determine the appropriate ingestion approach (Graph vs Vector RAG) based on use case and data characteristics.
Working on Gen AI projects involving data analysis, prompt tuning, RAG, Agentic RAG, etc.
Collaborate with product, business, operations and data teams to prioritize and translate ambiguous problems into delivered capabilities.
Bachelor’s Degree with 3+ years of experience in analytics or master’s degree with 2+ years of experience in analytics
Proficient in Python/R, PySpark, Data crunching, Prompt Tuning, RAG
Experience with Graph database (neo4j)
Experience in Gen AI techniques like RAG, prompt Engineering, fine tuning, etc.
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Global financial services organization enabling growth and economic progress.
Visit company websiteJobs and hiring trendsFull-time
Mid · 3+ years experience
Hybrid
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