Job Description

OVERVIEW

• 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 driving acquisitions, cross-sell, revenue growth & improvements in client experience.
• The team extracts relevant insights, identifies business opportunities, converts business problems into analytical frameworks, uses big data tools and machine learning algorithms to build predictive models & other solutions, and designs go-to-market strategies for a huge variety of business problems.

ROLE DESCRIPTION

• The role will be Senior Data Scientist (C11) in the TTS Analytics team
• The role will involve working on multiple analyses through the year on business problems across the client life cycle - acquisition, engagement, client experience and retention - for the TTS business
• The incumbent will understand complex business problems and devise a solution for the same using Deep Learning and Generative AI skills, independently.
• This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (client profile & engagement data, transactions & revenue data, digital data, unstructured data like call transcripts etc.) to provide data driven insights to business and functional stakeholders

QUALIFICATIONS
Experience:

• 5-8 years relevant work experience
• Must have:

• Understands complex deep learning architectures and must have implemented deep learning solutions hands-on
• Should have good understanding of Gen AI principles and basic prompt engineering
• In-depth knowledge of classical machine learning is necessary as well across variety of algorithms, like regression, tree based methods etc.
• Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.
• Experience with unstructured data analysis, e.g. call transcripts, using Natural language Processing (NLP)/ Text Mining
• Good to have:

• Experience in financial services
• Exposure to Gen AI designs like RAG etc.
• Understanding of Agentic workflows is a plus

Analytical Skills:

• Proficient in data science and machine learning concepts with the mathematics behind them
• Must have experience in implementing the Data Science knowledge in actual industry projects
• 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:

• Proficient in Python/R, SQL, Pyspark
• Proficient in TensorFlow, Keras, Pytorch and more advanced DL frameworks
• Proficient in MS Excel, PowerPoint
• Expertise on using code generation tools like Copilot
• Good to have:

• Experience with LLMs like Gemini/GPT/Llama etc.
• Experience with Tableau

Soft Skills:

• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Be organized, detail oriented, and adaptive to matrix work environment

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.
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Skills Required