Salary
💰 $142,320 - $213,480 per year
About the role
- Assist development teams with implementing new GenAI solutions from identification through validation phases
- Collaborate with developers and business stakeholders on streamlining the adoption of GenAI within Citi
- Own and maintain GenAI solution book of work for eligible GenAI use-cases
- Assist with preparations for internal discussions and initial submission for model validation during pre-identification phase
- Own relationships with governance-related stakeholders and communicate with model risk validation team
- Monitor and maintain GenAI solution inventory data and lifecycle
- Educate development teams on the model validation process
- Own tracking and modeling tools
Requirements
- Master’s or advanced degree in quantitative fields such as Mathematics, Statistics, Financial Engineering, Quantitative Finance, Computer Science, Data Science, etc.
- AI/ML development experience in a Data Scientist role or similar – A Must
- NLP development experience in a Data Scientist role or similar – Strongly preferred
- Knowledge of AI risk, safety, and ethics principals and hands-on experience with model validation in a financial institution – Preferred
- Experience in GenAI Model validation or AI/ML Model validation –Preferred
- Experience in a quantitative role in the Financial Markets/Banking/Insurance or experience in Risk capacity at a financial services / insurance institution –Preferred
- Strong organizational and project management skills
- Risk and Controls mindset