Leverage Generative AI (GenAI) to transform and automate processes within our Credit Card business, driving efficiency and innovation.
Requirements
- Advanced Python programming skills with experience writing production-quality code.
- Strong knowledge of language models, prompt engineering, model fine-tuning, and domain adaptation.
- Familiarity with GenAI frameworks and tools.
- Experience with deep learning frameworks such as TensorFlow and PyTorch.
- Experience with modern analytics tools (e.g., Tableau, Alteryx, UiPath, PowerApps) and data querying languages (e.g., SQL) is preferred.
- Good understanding of data structures, algorithms, and statistics.
Responsibilities
- Develop and implement GenAI solutions using Python to enhance automation and decision-making processes within the Card Product Configuration & Support team.
- Design and implement scalable and reliable data processing pipelines and deploy GenAI model inference services.
- Monitor and improve GenAI model performance through feedback and active learning.
- Collaborate with technology teams to deploy and scale GenAI models in production environments.
- Deliver written, visual, and oral presentations of GenAI findings to business and technical stakeholders.
- Stay updated on the latest advancements in GenAI and data science, and identify emerging techniques to drive ongoing enhancement.
- Ensure compliance with data privacy and security standards.
Other
- Collaborate with internal stakeholders to identify business needs and develop GenAI solutions that address client needs and drive transformation.
- Bachelor’s degree in a relevant quantitative field and 3+ years of data analytics experience, or advanced degree and 2+ years of experience.
- Excellent communication skills and the ability to convey complex information to both technical and business audiences.
- Leadership and collaboration skills with a strong intellectual curiosity for solving business problems.
- Experience in the financial services industry is a plus.
