VP, Quant Developer - Risk Analytics
Tasks
- Architect and own AI powered risk platform system design
- Build data processing integration and reporting pipelines
- Build validation frameworks and testing pipelines
- Collaborate with market risk credit risk and regulatory teams
- Design and implement end to end agentic workflows
- Develop and integrate LLM powered developer tooling
- Develop scalable reusable Python libraries
- Implement CI CD practices with testing peer review and version control
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic Workflows | At risk | Azure | Branching execution | CCAR | CECL | CI/CD | Code generation | Code review | Credit Risk | Docker | Expected shortfall | Exposure at Default | FRTB | Greeks | Kubernetes | LLM Powered Tooling | LLM-powered | Language Models | Large Language Models | Loss Given Default | Market Risk | Orchestration | Probability of Default | Python | RegIM | Regulatory Reporting | SA-CCR | SIMM | Stress Testing | Testing Pipelines | Validation Frameworks | Value-at-Risk | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Developer | Quant | Quant Developer | Quantitative Risk Developer | Risk Developer
Regions
Countries
States
Cities
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