Risk Management-Gen AI Data Scientist - Wholesale Credit Risk-Senior Associate

Join our dynamic Wholesale Credit Risk Quantitative Research team as a Gen AI Data Scientist, where you'll have the opportunity to revolutionize the credit risk process using cutting-edge Generative AI solutions. This role offers a unique chance to leverage the firm's extensive big data resources and make a significant impact on the financial industry. Be part of a team that values innovation and collaboration, and help shape the future of credit risk management.

As a Gen AI Data Scientist in the Wholesale Credit Risk Quantitative Research – Applied AI/ML team, you will play a pivotal role in developing Generative AI tools to enhance the End-to-End credit risk process across Wholesale. You will work closely with a team that thrives on innovation and is committed to improving risk monitoring capabilities through advanced data science techniques.

Job Responsibilities

• Develop and apply modern Machine Learning methodologies, LLM, and NLP techniques to solve complex business problems.
• Create risk strategies that enhance risk monitoring using data from various sources.
• Analyze structured and unstructured data from internal and external sources to drive actionable insights in credit risk.
• Lead the development and rapid deployment of AI solutions based on macro-economic factors and current events affecting the Wholesale portfolio.
• Develop data visualization and summarization techniques to convey key findings in dashboards and presentations to senior management.

Required qualifications, capabilities, and skills

• Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics).
• Deep understanding and practical expertise in Machine Learning, with strong LLM/NLP expertise or experience.
• Experience with a broad range of modern analytic and data tools, particularly Python/Anaconda, Tensorflow, Keras/PyTorch, Spark, SQL, etc.
• Experience with model implementation and production deployment.
• Excellent problem-solving, communication, and teamwork skills.
• Desire to use modern technologies as a disruptive influence within Banking.

Preferred qualifications, capabilities, and skills

• Experience working on Cloud platforms.
• Financial service background.
• Strong preference for candidates with experience in deploying AI solutions in a financial context.