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Point72
Verified live 11h ago

Quantitative Developer

Brief overview

Chicago, Illinois, United StatesIn-person
UndergradOr in progress
2+ yrsMinimum
135 H-1B approvalsDept. of Labor
43 green cardsCertified filings
PythonLinuxSQLJavaScriptApache AirflowObject-Oriented DesignUnit TestingConda Environment ManagementShell ScriptingData ProcessingVisualizationCI/CDSystem RobustnessTroubleshooting

About the company

Point72 invests in multiple asset classes and strategies worldwide.

Visa sponsorship history

4 years sponsoring, last filed FY2026

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
135H-1B approved
99%approval rate
30new H-1B hires
43PERM certified
$222,500median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202361
202472
20252
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
202324
202417
202517
202625
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
202310
202412
202518
20263
Top sponsored roles
Quantitative Software DeveloperQuantitative Strategist, Macro TechnologyData AnalystIT Operations Engineer, Application SupportQuantitative Strategist, Treasury Quant Strategy
Sponsored employees from
ChinaIndiaUnited KingdomMalaysiaGermany

Job 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.

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