Model Risk Quant Developer -New York, NY -Hybrid
FinTrust Connect
About the job Model Risk Quant Developer -New York, NY -Hybrid FinTrust Connect -New York, NY -Hybrid Share Your Resume and Build Your Future! Join our Talent Community for New York. Demand is strong for Python first quant developers who partner with model risk and validation teams to productionize libraries, automate back tests, and support SR 11 7 driven testing and controls. As a Model Risk Quant Developer you will build and harden production grade code that enables risk models and validation tools across market credit and liquidity domains. You will collaborate with quants and validators and technology to deliver reproducible results, traceable data, and exam ready evidence. Requirements 5 to 10 years in quantitative development in banking or buy side Expert Python with strong SQL and exposure to C++ or Java nice to have Experience supporting model validation and testing and benchmarking Familiarity with SR 11 7 controls and model lifecycle and documentation expectations Libraries and tools NumPy and Pandas and SciPy and scikit learn and PyTorch or TensorFlow as needed CI and CD unit tests and regression suites and artifact versioning and containerization Data engineering awareness for clean inputs and lineage Responsibilities Implement robust pricing and risk analytics and backtesting utilities that validators can run repeatably Optimize compute paths and serialize results for explainability and audit Build harnesses for challenger and benchmark models and sensitivity and stability checks #J-18808-Ljbffr FinTrust Connect
Vacancy posted 3 days ago
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