Risk Management-Gen AI Data Scientist - Wholesale Credit Risk-Senior Associate
Risk Management-Gen AI Data Scientist - Wholesale Credit Risk-Senior Associate
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Join our dynamic Wholesale Credit Risk Quantitative Research team as a Gen AI Data Scientist where youll have the opportunity to revolutionize the credit risk process using cuttingedge Generative AI solutions. This role offers a unique chance to leverage the firms 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 EndtoEnd 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 macroeconomic 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 problemsolving 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.
Required Experience:
Senior IC
Employment Type
Full-Time
