Hybrid Model Risk Quant Developer — Python Backtester
Location: New York
A leading financial technology firm in New York is seeking a Model Risk Quant Developer to enhance production-grade code for risk models. The role requires expertise in Python and SQL, with additional familiarity in C++ or Java preferred. Responsibilities include implementing robust analytics and optimizing results for validation. Competitive compensation ranges from $110 to $180 per hour, with a hybrid or remote work model offered.
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