Quantitative Developer - Python

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT: * Partner closely with quantitative traders and researchers to design and build robust reporting and analytical tools that directly support trading strategies and performance monitoring. * Explore, evaluate, and integrate alternative datasets to generate actionable insights and contribute to the development of innovative trading opportunities. Your current skillset: * Strong proficiency in Python, with solid software engineering fundamentals * Experience building, deploying, and supporting production-grade Python applications * Ability to prioritize effectively and operate autonomously in a dynamic environment * Strong collaboration skills and the ability to communicate clearly with both technical and non-technical stakeholders * 3+ years of professional experience in software engineering or a related field Nice to have * Previous experience in finance, ideally within a hedge fund or trading environment * Familiarity with AWS or similar cloud platforms * Experience building dashboards or working with data visualization tools   QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

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. Your Core Responsibilities * 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 Your Skills and Experience * 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. Salary Range $200,000—$225,000 USD About Us 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.