# Quantitative Developer at Point72

Quantitative Developer at Point72 in Chicago. Posted August 15, 2024.

- Company: Point72
- Location: Chicago
- Experience: 2+ years
- Posted: 2024-08-15
- Apply: https://boards.greenhouse.io/point72/jobs/7297511002?gh_jid=7297511002
- Source: https://jobmagic.ai/jobs/quantitative-developer-point72-mr34j5

## 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.

## Description

**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.