Quantitative Developer - Python

3 дн. назад

USAMiddle

pythonpandaspolarstime series analysisbacktestingsimulation frameworksml

Role involves building and maintaining quantitative research and production systems for trading, focusing on Python development and strategy optimization.

О компании

IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

Обязанности

Build and maintain systems that span research and production, enabling rapid iteration from idea to production
Design high-fidelity simulation and backtesting infrastructure that models latency, microstructure, and real-world constraints
Define, compute, and curate features across instruments, regimes, and time horizons
Own feature and signal pipelines, ensuring clean, consistent delivery from research to execution
Contribute to strategy optimization, balancing expected performance with real-world constraints
Debug issues end-to-end across research and execution

Другое

IMC is looking for a Quantitative Developer to own the full path from research to production. This role blends research and engineering, with tight feedback loops from ideation to live trading. You will build the systems that turn quantitative insights into measurable edge, with direct visibility into how your work creates impact.
3-7 years of experience in quantitative software development, preferably at a trading firm or systematic fund
Strong production experience in Python, including data analysis workflows (pandas, polars, or similar)
Strong grounding in probability, statistics, and time series analysis; familiarity with backtesting and simulation frameworks
Solid understanding of ML concepts as applied to systematic strategies, from research through production
Experience with low-latency systems is valuable
Ability to work fluidly across research and engineering teams
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.