Citi seeks a Python developer to build applications and predictive models for credit risk, with a focus on data extraction, analysis, and scalable ML/LLM systems.
What you’ll do
Build and implement new applications and programs
Extract and analyze data
Develop predictive models for credit risk management
Design scalable ML systems for training, inference, monitoring, and iteration
Apply ML/DL/LLM algorithms and tools
Collaborate with team members and work independently
What you’ll need
5+ years as a data scientist in ML modeling, ranking, recommendations, or personalization
5+ years designing scalable ML systems
Strong ML/DL/LLM algorithms and training techniques
Proficiency in Python, SQL, Spark, PySpark, TensorFlow
Bachelor's in STEM; PhD/master's preferred
GenAI/LLM project and financial/banking risk experience
Original job description
Citi is a leading global bank that provides financial services to consumers, corporations, governments, and institutions. They are seeking a Python Developer to establish and implement new applications and programs, focusing on data extraction and analysis, as well as developing predictive models related to credit risk management.5+ years of industry…