Quantitative Modeling & AI Director
NY7 - 50 Hudson Yards, New York, United States
R
USD 225K-285K Executive-level Full Time
Tasks
- Architect autonomous agent systems for credit analysis
- Build relationship aware default prediction models
- Communicate technical concepts to non-technical stakeholders
- Design APIs and data services for credit analytics
- Design agentic AI workflows for AI assistant platform
- Develop time series credit signal models
- Drive execution across cross functional workstreams
- Ensure data quality and scalability for knowledge graph
- Evaluate and backtest machine learning models
- Lead AI technical vision for credit intelligence
- Lead engineering team of data scientists and modelers
- Mentor and grow engineering talent
- Model correlated defaults using probabilistic methods
- Own and evolve credit knowledge graph
- Train and productionize credit risk machine learning models
- Unify data lake ingestion pipelines
- Validate and monitor machine learning models
Perks/Benefits
- Discretionary bonus
- Flexible time off
- Healthcare
- Hybrid work model
- Leave benefits
- Retirement benefits
- Tuition reimbursement
Skills/Tech-stack
API Development | Agentic AI | Artificial Intelligence | Autonomous Agents | Backtesting | Bayesian Methods | Convolutional Networks | Data Pipelines | Data Quality | Data integration | Graph Neural Networks | Knowledge graphs | Langchain | Langgraph | Machine Learning | Markov Random Fields | Model Monitoring | Model Validation | Neural Networks | Scalability | Series modeling | Supervised Learning | Temporal Convolutional Networks | Time Series | Time Series Modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Director | Data Science | Data Science Director | Director | Learning Director | Machine Learning Director
Regions
Countries
States
Cities
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