Job Summary

• Architect and lead development of autonomous agent systems for credit analysis, including self-improving chat agents, event-driven orchestration, and feedback loops for continuous agent improvement.
• Train, evaluate, and productionize ML models for credit risk — including graph neural networks for relationship-aware default prediction, Bayesian/MRF frameworks for modeling correlated defaults, and temporal convolutional networks for time-series credit signals.
• Lead a team of data scientists, modelers, and ML practitioners, fostering a culture of technical excellence, continuous learning, and operational rigor.

Matching Summary

Salary

Base: USD$225,000.00 - USD$285,000.00; Bonus/Equity: eligible for an annual discretionary bonus; Benefits: healthcare, leave benefits, and retirement benefits

Skills & Requirements

Key Requirements

• Bachelor's degree in quantitative discipline
• 10+ years of industry experience
• Enterprise knowledge graph architecture experience
• Strong communication skills
• Ability to work horizontally across functions

Work Rights