Quantitative Developer
At a glance
Mid-level Data Science role at Point72. Chicago · full-time · no salary stated · we estimate $100,350–$187,788.
Point72 has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Develop software that helps the team research strategies and trade
- Build tools for bringing in data, transforming it, and viewing results
- Support execution and order management, live dashboards, and P&L reconciliation
- Look after CI/CD, job-running infrastructure, and other team technology while keeping systems dependable
- Work with the portfolio manager, researchers, and traders, and resolve system issues
What you bring
- You hold an undergraduate or graduate degree in computer science
- You have at least two years building research and trading systems within a financial institution, or demonstrate excellent role-related skills
- You understand Linux processes and system components, and can use shell scripts
- You can write Python using object-oriented design, testing, and conda environment management
- You know SQL, JavaScript, and Apache Airflow
Who this fits
This mid-level role suits a quantitative developer supporting a portfolio manager’s systematic credit team. The position is based in Chicago.
From the employer
About Cubist:
Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
Role:
Quantitative Developer for a PM team focused on systematic credit and related asset classes. This is a unique opportunity to collaborate, learn, and lead technology projects with high business impact.
Responsibilities:
- Design and develop software for strategy research and trading.
- Build and improve tools for data acquisition, processing, and visualization.
- Work on the execution/order management system, live dashboards, and P&L reconciliation tools.
- Manage the team’s CI/CD pipeline, job running infrastructure, and other tech components.
- Ensure robustness and efficiency of the team’s systems. Be ready to troubleshoot and correct any issues.
- Collaborate with the portfolio manager, quant researchers, and traders.
Requirements:
- Undergraduate or graduate degree in Computer Science.
- 2+ years of experience developing research and trading infrastructure at a financial institution, or demonstrated excellent skills required for the role.
- Prior experience with execution/order management systems, real-time data servers, and visualization is a plus.
- Solid understanding of Linux OS—system components, process management, shell scripting.
- Proficiency in Python, including in the object-oriented design, unit/reg testing, conda environment management.
- Knowledge of SQL, JavaScript, Apache airflow.
- Strong communication skills.
- Willingness to take ownership of his/her work.
- Commitment to the highest ethical standards.
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