OP Recruiting
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Quantitative Developer
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OP Recruiting . We’re looking for a technically sharp, self-driven Quant Developer to join our client’s fast‑paced trading team. This role involves hands‑on research, model development, and system integration—ideal for someone who thrives on turning data into strategy and prototypes into production‑ready tools. What You’ll Be Doing
Design and test statistical or predictive algorithms using diverse datasets Own the research pipeline end‑to‑end—from ideation and method selection to validation, backtesting, and live performance tracking Ensure the quality and integrity of large data sources, identifying anomalies and cleaning as needed Explore new data sources for potential signal generation Translate research insights into robust Python‑based implementations Contribute to the ongoing improvement of the trading infrastructure and provide support for operational enhancements Jump into ad‑hoc tasks and new initiatives as priorities shift What We’re Looking For
An advanced degree (Master’s or higher) in a quantitative field like Mathematics, Computer Science, or a closely related discipline Minimum 3 years of hands‑on experience in a similar capacity Fluent in Python with a solid understanding of modern programming practices and object‑oriented design Demonstrated ability to conduct empirical research and build machine learning or statistical models from raw data Familiarity with optimizing and testing latency‑sensitive algorithms in a Linux‑based production setting Exposure to order book dynamics and statistical modeling related to limit order book trading Experience working with SQL databases and APIs to support real‑time data needs and model integration Dependable work habits and consistent availability Seniority level
Mid‑Senior level Employment type
Full‑time Job function
Finance and Sales Industries
Staffing and Recruiting Location: Chicago, IL – Salary: $120,000.00–$150,000.00
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Quantitative Developer
role at
OP Recruiting . We’re looking for a technically sharp, self-driven Quant Developer to join our client’s fast‑paced trading team. This role involves hands‑on research, model development, and system integration—ideal for someone who thrives on turning data into strategy and prototypes into production‑ready tools. What You’ll Be Doing
Design and test statistical or predictive algorithms using diverse datasets Own the research pipeline end‑to‑end—from ideation and method selection to validation, backtesting, and live performance tracking Ensure the quality and integrity of large data sources, identifying anomalies and cleaning as needed Explore new data sources for potential signal generation Translate research insights into robust Python‑based implementations Contribute to the ongoing improvement of the trading infrastructure and provide support for operational enhancements Jump into ad‑hoc tasks and new initiatives as priorities shift What We’re Looking For
An advanced degree (Master’s or higher) in a quantitative field like Mathematics, Computer Science, or a closely related discipline Minimum 3 years of hands‑on experience in a similar capacity Fluent in Python with a solid understanding of modern programming practices and object‑oriented design Demonstrated ability to conduct empirical research and build machine learning or statistical models from raw data Familiarity with optimizing and testing latency‑sensitive algorithms in a Linux‑based production setting Exposure to order book dynamics and statistical modeling related to limit order book trading Experience working with SQL databases and APIs to support real‑time data needs and model integration Dependable work habits and consistent availability Seniority level
Mid‑Senior level Employment type
Full‑time Job function
Finance and Sales Industries
Staffing and Recruiting Location: Chicago, IL – Salary: $120,000.00–$150,000.00
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