The C12 is a developing professional role Deals with most problems independently and has some latitude to solve complex problems Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices Good understanding of how the team and area integrate with others in accomplishing the objectives of the sub function job family Applies analytical thinking and knowledge of data analysis tools and methodologies Requires attention to detail when making judgments and recommendations based on the analysis of factual information Typically deals with variable issues with potentially broader business impact Applies skilled judgment when interpreting data and results Breaks down information in a systematic and communicable manner Developed communication and diplomacy skills are required in order to exchange potentially complex sensitive information Moderate but direct impact through close contact with the businesses core activities Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams TTS Analytics C12 What do we do 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 ROLE DESCRIPTION The role will be AVP C12 in the TTS Analytics 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 As a key contributor to ideation on analytical projects to tackle strategic business priorities The role will require endless curiosity as ambiguity and open-ended questions are a core part of the team s work Incumbents work with large and complex data sets both internal and external data to evaluate recommend and support the implementation of business strategies Identifies and compiles data sets using a variety of tools e g SQL PySpark Snowflake to help predict improve and measure the success of key business outcomes Responsible for documenting data requirements data collection processing cleaning and exploratory data analysis which may include utilizing statistical models algorithms and data visualization techniques 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 Ability to build partnerships with cross-function leaders QUALIFICATIONS Experience min 8 years of relevant experience in data science Must have substantial experience in Identifying and resolving business problems around client experience and operations preferably in the financial services industry Utilizing text data to derive business value by leveraging different NLP mid to expert level prior experience is a must and LLM Leveraging and developing analytical tools and methods to identify patterns trends and outliers in data Applying ML DL and Gen AI techniques like RAG prompt Engineering fine tuning for a wide range of business problems Working with data from different sources with different complexities both structured and unstructured Have worked on Python and SQL extensively Good to have Prior working experience in Customer experience domain Analysis involving deep dive into CSAT NPS Survey feedbacks etc Have worked on developing Agentic AI solution Education Masters preferred in Engineering Technology Statistics Economics or similar quantitative disciplines Skills Analytical Skills Strong logical reasoning and problem-solving ability Proficient in converting business problems into analytical tasks and analytical findings into business insights Proficient in formulating analytical methodology identifying trends and patterns with data Has the ability to work hands-on to retrieve and manipulate data from big data environments Tools and Platforms Expert knowledge in Python SQL PySpark and related tools Proficient in MS Excel PowerPoint Good to have Experience with Tableau 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 - Citi is an equal opportunity employer and qualified candidates will receive consideration without regard to their race color religion sex sexual orientation gender identity national origin disability status as a protected veteran or any other characteristic protected by law If you are a person with a disability and need a reasonable accommodation to use our search tools and or apply for a career opportunity review Accessibility at Citi View Citi s EEO Policy Statement and the Know Your Rights poster

📌 Specialized Analytics – Data Science – Gen Ai – Assistant Vice President (Karnataka)
🏢 Citi
📍 Karnataka