from Identification through validation, including assessing the soundness of the solution from data-science perspective, metric evaluation, materiality classifications, model exposure, model limitations, and scope of usage.
Work with peers onstreamlining adoption of GenAI, reducing overall friction in development teams’ successful production deployment.
Own and maintainGenAI solution book of work for eligible GenAI use-cases
During pre-identification phase of Models,assist with preparations for internal discussions and initial submission to Model Risk Management (MRM), considering object/model characteristics and potential challenges in the process.
Assist with resolving GenAI solution’s pre-validation comments from MRM
Own relationships with MRM - Communicate and coordinate with model risk validation groupon validation group’s policy or procedural changes, recurring validation hold-ups or inefficiencies you identify throughout the process.
Monitor and maintain GenAI solution inventorydata and lifecycle.
Educate development teamson validation process.
Own tracking and modeling tools.
Preferred Background:
Master’s or advanced Degree in quantitative fields such as Mathematics, Statistics, Financial Engineering, Quantitative Finance, Physics, 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 Model Risk 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 FinancialMarkets/Banking/Insuranceor experience in Risk capacity at a financial services / insurance institution –Preferred
Strong organizational and project management skills
Risk and Controls mindset
CFA Charterholder – Preferred
Data AnalyticsFull timeNew York New York United States$142,320.00 - $213,480.00