Salary
$120k – $125k per year
Location
In office (New York)
Visa
H-1B filings in 12 months: 235 · for this role: 1 · green card filings: 120
Employment
Full-Time
Removed from the employer's board on Nov 6, 2026. First seen by Alion on Nov 6, 2026. Citadel scores A on the Alion truth index.
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Citadel is a global alternative investment firm and one of the largest multi-strategy hedge fund managers in the world. It runs strategies across equities, fixed income and macro, commodities, credit and quantitative trading for institutional investors, and is separate from the market maker Citadel Securities. The firm was founded in 1990 by Ken Griffin in Chicago and moved its headquarters to Miami in 2022.
Citadel is an alternative investment manager. The Sector Data Scientist, Central Team delivers analytical research, maintains investor-facing tools, analyzes alternative data, and improves shared technical foundations in support of investors across the fundamental equities platform.
Responsibilities
- Deliver data cuts, refreshes, mappings, cohort analyses, seasonality work, and recurring data pulls
- Create and maintain investor-facing trackers, dashboards, and workflows; add companies, products, geographies, KPIs, and views
- Query, clean, transform, and analyze datasets using statistical and time-series methods
- Investigate anomalies, reconcile sources, monitor pipelines, maintain mappings, and document assumptions and limitations
- Improve the quality, flexibility, testing, documentation, and reusability of common Python and SQL tooling
- Use LLMs and Citadel’s AI infrastructure to accelerate extraction, monitoring, and recurring research workflows
- Partner with Sector Data Scientists and investors to understand context, communicate findings, and prioritize work with real alpha
Skills
- A passion for delivering value to investment teams by questioning the consensus and looking for informational advantages in data
- Bachelor's or master's degree in Computer Science, Engineering or a related field
- Recent graduate or up to 2 years in software engineering, data science, or analytics
- Interest in building reliable, scalable analytical solutions and improving shared technical foundations
- Strong proficiency in Python and SQL; familiarity with version control, testing, and data pipelines
- Ability to explore unfamiliar datasets, validate results, and identify commercial applications
- Demonstrated interest in investing, companies, business models, or economic questions
- Comfortable moving across sectors, incorporating feedback, and rapidly building domain knowledge
- Clear communicator with strong attention to detail, dependable execution, and sound judgment
Benefits
- Access to the world’s most comprehensive infrastructure for alternative data and AI
- Broad exposure to alternative data across sectors and investment questions
- Learning from accomplished portfolio managers, analysts, engineers, and data scientists
- Mentorship
- Ownership of the shared code platform
- A pathway toward dedicated sector coverage
- Eligibility to participate in a discretionary incentive compensation program
- Medical and life insurance
- Retirement and tax-free savings plans
- Access to other healthcare programs
Company Overview
Company H1B Sponsorship
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