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Citadel Data Science Jobs (NOW HIRING)

Point72

Quantitative Software Developer

New York, NY · On-site

Shaw, Two Sigma, Citadel, Meta, Google, etc. We have an open and collaborative culture, and we ... data science/analytics. * Strong combination of quantitative skills and programming skills.

Point72

Quantitative Software Developer

New York, NY · On-site

Shaw, Two Sigma, Citadel, Meta, Google, etc. We have an open and collaborative culture, and we ... data science/analytics. * Strong combination of quantitative skills and programming skills.

El Super

Sales Analyst

Commerce, CA

$90K - $100K/yr

... Citadel Drive, Commerce, CA 90040. RESPONSIBILITIES & DUTIES: * Develop and implement sales ... Bachelor's degree in a relevant field (e.g., Business, Statistics, Data Science). MBA preferred.

Astrana Health

Sr. Software Engineer

Monterey Park, CA · Hybrid

$180K - $210K/yr

... Citadel, D.E. Shaw), and strong academic backgrounds. * Design, test, deploy, improve, and maintain ... data pipelines, data science, machine learning * Architecting, developing, and supporting ...

Databento

Systems Engineer

Boston, MA · On-site

Databento is the market data platform for modern finance. The company provides real-time and ... Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, Tower Research, PDT ...

Databento

Databento is the market data platform for modern finance. The company provides real-time and ... Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, Tower Research, PDT ...

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All JobsCitadel Data Science Jobs

Citadel Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do citadel data science jobs pay per year?

As of Jul 23, 2026, the average yearly pay for citadel data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a Citadel Data Scientist?

A Citadel Data Scientist is a professional who applies advanced analytics, statistical modeling, and machine learning techniques to solve complex problems in finance and investment at Citadel, a leading global financial institution. They work closely with other teams to analyze large datasets, develop predictive models, and generate actionable insights that inform trading strategies and business decisions. The role typically requires strong programming skills, quantitative expertise, and the ability to communicate findings effectively to technical and non-technical stakeholders.

What are the key skills and qualifications needed to thrive as a Citadel Data Scientist, and why are they important?

To excel as a Data Scientist at Citadel, you need strong quantitative and analytical skills, deep knowledge of statistics, and proficiency in programming languages like Python or R, usually supported by an advanced degree in a quantitative field. Familiarity with big data tools, machine learning frameworks, and data visualization platforms is typically expected, along with expertise in working with financial datasets. Outstanding problem-solving abilities, intellectual curiosity, and effective communication skills help you stand out in this high-performance environment. These skills and qualities are crucial for uncovering actionable insights, driving data-driven investment decisions, and maintaining a competitive edge in finance.

How do data scientists at Citadel typically collaborate with portfolio managers and quantitative researchers?

Data scientists at Citadel work closely with portfolio managers and quantitative researchers to develop and refine investment strategies. This collaboration involves sharing insights from data analyses, building predictive models, and validating hypotheses through rigorous testing. Regular meetings and cross-functional project teams are common, allowing data scientists to both contribute technical expertise and gain a deep understanding of market dynamics. This collaborative approach not only enhances the quality of investment decisions but also offers valuable learning and professional growth opportunities.

What is the difference between Citadel Data Science vs Citadel Quantitative Researcher?

AspectCitadel Data ScienceCitadel Quantitative Researcher
Required CredentialsAdvanced degree in Data Science, Computer Science, or related fieldsAdvanced degree in Mathematics, Statistics, or related fields
Work EnvironmentData analysis, machine learning, and modeling teamsQuantitative modeling, algorithm development, and research teams
Employer & Industry UsageFinancial firms, hedge funds, asset managementFinancial firms, hedge funds, quantitative trading
Common Search & ComparisonYesYes

Citadel Data Science focuses on developing data-driven models, machine learning, and analytics to inform trading strategies. In contrast, Citadel Quantitative Researchers primarily develop mathematical models and algorithms for trading. Both roles require advanced degrees and work within the financial industry, but Data Scientists emphasize data analysis and machine learning, while Quantitative Researchers focus on mathematical modeling and algorithmic trading.

More about Citadel Data Science jobs
What job categories do people searching Citadel Data Science jobs look for? The top searched job categories for Citadel Data Science jobs are:
Citadel Data Science jobs near you
Infographic showing various Citadel Data Science job openings in the United States as of July 2026, with employment types broken down into 5% Locum Tenens, 13% Full Time, 2% Part Time, 79% Nights, and 1% Summer. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Quantitative Software Developer

Quantitative Software Developer

Point72

New York, NY • On-site

Other

Posted 16 days ago

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.

About our Team: 

KEPL is a fast-growing team at Cubist Systematic Strategies. We are specialized in medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms, including: D.E. Shaw, Two Sigma, Citadel, Meta, Google, etc. We have an open and collaborative culture, and we value rigorous research and innovative technologies.

Please send CVs to kepl-talent@cubistsystematic.com with "2026 KEPL QD Application" in the subject line.

Role:

We are looking for a quantitative software developer to join our team and contribute to multiple initiatives that aim to expand our business. The candidate should be passionate about financial market, data and technology. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative trading.

Responsibilities:

  • Improve data ETL pipeline and build tools to analyze new data efficiently.
  • Build technologies to bolster research & trading efficiency.
  • Expand to new markets and asset classes.
  • Manage day-to-day operations in a fast-paced environment.

Requirements

  • Master/PhD degree in math, computer science, engineering, or other related fields.
  • 1-3 years of professional experience in software development or data science/analytics.
  • Strong combination of quantitative skills and programming skills.
  • Proficiency in Python; knowledge of common data analytics tools (e.g., SQL, pandas) is a plus.
  • Familiarity with the Linux environment.
  • Excellent written and verbal communication skills.
  • Willing to work in a fast-paced start-up environment.
  • Commitment to the highest ethical standards.

Apply