Reference Data Engineer
AI in this role
JOB TITLE
Reference Data Engineer
A Career with point72’s Cubist TEAM
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.
What you’ll do
- Develop, test, and maintain software applications using .NET Full Stack technologies.
- Write clean, scalable, and efficient code in Python for various applications.
- Collaborate with cross-functional teams to define, design, and ship new features.
- Implement and manage CI/CD pipelines and other DevOps practices to ensure smooth deployment and operation of software solutions.
- Participate in code reviews and contribute to a culture of continuous improvement.
- Troubleshoot and resolve software defects and issues in a timely manner.
- Stay up to date with emerging technologies and industry trends to enhance skills and knowledge.
What’s REQUIRED
We are looking for a motivated and skilled Software Engineer with experience in .NET Full Stack development, Python, and DevOps. You should also have:
- Bachelor’s or master’s degree in computer science, engineering, statistics or a related field.
- 3+ years of experience in .NET Full Stack development and Python programming.
- Basic understanding and practical experience with DevOps tools and methodologies.
- Strong problem-solving skills and attention to detail.
- Excellent communication skills and the ability to work collaboratively in a team environment.
- Eagerness to learn and adapt to new technologies and challenges.
- Commitment to the highest ethical standards.
About point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit www.Point72.com.
How we rate this
Reference Data Engineer at Point72 rates 33 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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