Sector Data Scientist – AI-Driven Finance (Early-Career)

Citadel; New York (NY); On-site; USD 120,000 - 125,000; Full time

Benefits offered by this job

Discretionary incentive compensation

Medical insurance

Life insurance

Retirement plan

Tax-free savings plans

Healthcare programs

Job summary

Citadel’s Central Team in New York is seeking an early-career Sector Data Scientist to deliver alpha-generating insights. You will apply CS/engineering fundamentals to real investment questions, delivering analyses, data checks, and reusable tooling while gaining exposure to alternative data and best-in-class investing.

You will work with sector-facing scientists and investors to build technical depth, sector knowledge, and commercial judgment for increasingly complex projects.

Qualifications

• Educational background: Bachelor's or master’s degree in Computer Science, Engineering or related field.
• Early-career experience: recent graduate or up to 2 years in software engineering, data science, or analytics.
• Technical foundations: interest in reliable, scalable analytical solutions and improving shared technical foundations.
• Programming: strong proficiency in Python and SQL; familiarity with version control, testing, and data pipelines.
• Analytical rigor: ability to explore unfamiliar datasets, validate results, and identify commercial applications.
• Passion for Financial Markets: interest in investing, companies, business models, or economic questions.

Responsibilities

• Execute Investment Research: deliver data cuts, refreshes, mappings, cohort analyses, seasonality work, and recurring data pulls.
• Build and extend decision tools: create trackers, dashboards, and workflows; add companies, products, geographies, KPIs, and views.
• Analyze alternative data: query, clean, transform, and analyze datasets using statistical and time-series methods.
• Investigate anomalies: reconcile sources, monitor pipelines, document assumptions and limitations.
• Strengthen the shared code platform: improve Python/SQL tooling quality, testing, and documentation.
• Leverage AI and automation: use LLMs and Citadel’s AI infrastructure to accelerate extraction and recurring workflows.
• Build commercial judgment: partner with sector scientists and investors to contextualize findings.

Skills

Python

SQL

Analytics

Education

Bachelor’s or Master’s in Computer Science or Engineering

Job description

Citadel’s Central Team in New York is seeking an early-career Sector Data Scientist to deliver alpha-generating insights. You will apply CS/engineering fundamentals to real investment questions, delivering analyses, data checks, and reusable tooling while gaining exposure to alternative data and best-in-class investing.

You will work with sector-facing scientists and investors to build technical depth, sector knowledge, and commercial judgment for increasingly complex projects.