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Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have 200+ years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. Analytics and Information Management (AIM) is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast-growing organization working with Citi businesses and functions across the world.
Job Responsibility:
Use statistical modelling analysis, Machine Learning, Data mining techniques to extract actionable insights from large and complex datasets
Develop model to forecast trends, identify patterns and solve various business challenges
Conduct exploratory data analysis to uncover hidden relationships and opportunities for optimizations
Design, develop, deploy advance algorithms to solve complex business problems
Optimize algorithms for scalability, performance, and accuracy
Stay abreast of the latest advancements in Machine Learning and Artificial Intelligence and continuously improve modelling techniques
Collaborate with Model Risk Management and Data Engineers, business analysts, product managers to define project requirements and deliver solutions
Communicate findings and recommendations to technical and non-technical stakeholders
Act as subject matter expert on Data Science methodology and best practices
Work with Data engineers to ensure availability, quality, and integrity of datasets
Develop and implement Data governance procedures to ensure compliance with regulatory requirements and industry standards
Requirements:
Bachelor’s degree in quantitative field (Computer science, engineering, mathematics, machine learning, statistics)
5-8 years of experience in Data science role
Proficiency in programming languages like Python, R, or SAS
Experience in Python and relevant libraries (Numpy, Pandas, Scikit learn etc.)
Coursework related to Machine learning, Deep learning (NLP / OCR) and Programming
At least an introductory understanding of LLMs and prompt engineering
Hands on application experience using common ML frameworks such as TensorFlow, PyTorch, OpenAI and LangChain
Experience with big data platforms (e.g. Hadoop, Spark) and SQL databases
Demonstrated ability to write high quality code, develop Machine Learning models
Excellent verbal and written communication skills
Problem solving and Story telling skills to provide recommendations and generate actionable Business Insights
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