Model Risk Quant Developer: Python, Backtests & Validation

FinTrust Connect; New York (NY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

A financial services company is seeking a Model Risk Quant Developer in New York, NY. The successful candidate will have 5 to 10 years of quantitative development experience, expertise in Python, and familiarity with model validation processes. Responsibilities include building robust analytics utilities and optimizing compute paths for risk models. This is a hybrid position offering the opportunity to work closely with validation teams to ensure comprehensive model testing and compliance with SR 11 7 standards.

Qualifications

• 5 to 10 years in quantitative development in banking or buy side.
• Expert in Python with strong SQL skills.
• Experience in model validation and testing.

Responsibilities

• Implement robust pricing and risk analytics and backtesting utilities.
• Optimize compute paths and serialize results for explainability.
• Build harnesses for challenger and benchmark models.

Skills

Python

SQL

C++ or Java

Familiarity with SR 11 7 controls

NumPy

Pandas

SciPy

scikit-learn

PyTorch or TensorFlow

Data engineering awareness

Tools

CI/CD

Job description

A financial services company is seeking a Model Risk Quant Developer in New York, NY. The successful candidate will have 5 to 10 years of quantitative development experience, expertise in Python, and familiarity with model validation processes. Responsibilities include building robust analytics utilities and optimizing compute paths for risk models. This is a hybrid position offering the opportunity to work closely with validation teams to ensure comprehensive model testing and compliance with SR 11 7 standards.