Applied AI/ML Lead – Risk Modelling
JPMorgan Chase · Bengaluru
| Company | JPMorgan Chase |
|---|---|
| Role | Applied AI/ML Lead – Risk Modelling |
| Location | Bengaluru |
| Work mode | On-site |
| Experience | 6+ years |
| Job type | Full-time |
About this job
JPMorgan Chase's Consumer and Community Banking risk team in Bengaluru builds the models that manage credit-card and small-business lending risk. This Applied AI/ML Lead (Vice President) leads that modelling work.
You will design, build, deploy and monitor machine-learning and statistical risk models on big-data platforms, and use AI, including GenAI, to improve modelling workflows. It needs eight or more years building predictive risk models in finance and an advanced quantitative degree.
Eligibility
- 8+ years building predictive risk models in finance
- Advanced degree in a quantitative field
- Python, PyTorch or TensorFlow, PySpark, SQL
Skills required
What you will do
- Build AI and ML risk models
- Deploy and monitor models
- Use GenAI in modelling work
How to apply
- Open the official job page using the button below and read the full description
- Tailor your resume to the skills listed here and apply directly on the company's careers site
Before the interview, prepare:
- Credit risk models: PD, scorecards, validation
- PyTorch or TensorFlow, PySpark and SQL
- Model risk management and documentation
- Using GenAI in a controlled modelling workflow
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