Source description
About the role
As a member of IMC's Python Development team, you will have the opportunity to partner directly with equity and index options trading desks. Your role will involve blending financial theory, software engineering, data visualization, and applied research to convert raw data into a trading edge. Working closely with traders and software engineers, you will witness your ideas rapidly transition from inception to production, directly impacting trading performance. At IMC, our culture values innovation, collaboration, continuous learning, creative problem-solving, a strong sense of responsibility, and rigorous diligence as key drivers of success. Key Responsibilities: - Build, maintain, and enhance research frameworks and data pipelines that facilitate trading and quantitative research. - Curate, transform, and present data in clear and accessible formats for traders and researchers. - Drive end-to-end research cycles, from ideation to production deployment. Qualifications Required: - Bachelor's degree in Mathematics, Physics, Statistics, Computer Science, Econometrics, or a related field. - Minimum 3 years of professional Python development experience, with strong production-level coding skills. Familiarity with additional languages is a plus. - Hands-on experience with statistical analysis, numerical programming, data engineering, or machine learning in Python (Polars, Pandas, NumPy, SciPy, TensorFlow). - Proven ability to work with large datasets, design and optimize data pipelines, and effectively present data. - Foundational knowledge of quantitative trading concepts and equity/index options, acquired through coursework, projects, internships, or professional work. - Exposure to web/API frameworks like FastAPI and React is advantageous. - Experience with orchestration and containerization tools such as Kubernetes and Docker is a plus. - Familiarity with machine learning techniques is beneficial. About IMC: IMC is a global trading firm that operates within a cutting-edge research environment and boasts a world-class technology backbone. Established in 1989, IMC has been a stabilizing force in financial markets, providing essential liquidity that market participants rely on. With offices across the US, Europe, Asia Pacific, and India, IMC's talented quant researchers, engineers, traders, and business operations professionals are united by a collaborative, high-performance culture and a commitment to giving back. As a member of IMC's Python Development team, you will have the opportunity to partner directly with equity and index options trading desks. Your role will involve blending financial theory, software engineering, data visualization, and applied research to convert raw data into a trading edge. Working closely with traders and software engineers, you will witness your ideas rapidly transition from inception to production, directly impacting trading performance. At IMC, our culture values innovation, collaboration, continuous learning, creative problem-solving, a strong sense of responsibility, and rigorous diligence as key drivers of success. Key Responsibilities: - Build, maintain, and enhance research frameworks and data pipelines that facilitate trading and quantitative research. - Curate, transform, and present data in clear and accessible formats for traders and researchers. - Drive end-to-end research cycles, from ideation to production deployment. Qualifications Required: - Bachelor's degree in Mathematics, Physics, Statistics, Computer Science, Econometrics, or a related field. - Minimum 3 years of professional Python development experience, with strong production-level coding skills. Familiarity with additional languages is a plus. - Hands-on experience with statistical analysis, numerical programming, data engineering, or machine learning in Python (Polars, Pandas, NumPy, SciPy, TensorFlow). - Proven ability to work with large datasets, design and optimize data pipelines, and effectively present data. - Foundational knowledge of quantitative trading concepts and equity/index options, acquired through coursework, projects, internships, or professional work. - Exposure to web/API frameworks like FastAPI and React is advantageous. - Experience with orchestration and containerization tools such as Kubernetes and Docker is a plus. - Familiarity with machine learning techniques is beneficial. About IMC: IMC is a global trading firm that operates within a cutting-edge research environment and boasts a world-class technology backbone. Established in 1989, IMC has been a stabilizing force in financial markets, providing essential liquidity that market participants rely on. With offices across the US, Europe, Asia Pacific, and India, IMC's talented quant researchers, engineers, traders, and business operations professionals are united by a collaborative, high-performance culture and a commitment to giving back.
More at IMC