Citadel

New York, New York, USA
4,000 Total Employees
1,500 Local Employees
Year Founded: 1990

Welcome to Citadel

It shouldn’t be surprising that techies are turning to finance for innovation, fast-paced culture and connectivity with colleagues and end users. At Citadel, developers work in short life cycles on projects that create real impact. “Technology is a key component to how we out-think and out-execute those around us,” one team member said. Training opportunities in both technical and soft skills allow for continuous learning, and one of its core values, “winning,” means making the best better.

At a glance

01

Core Values

Integrity, winning, meritocracy, learning, extraordinary colleagues.


02

Grow & Develop

Through NXT, the company’s professional network for early-career engineers.


03

Back To School

Employee benefits include tuition reimbursement.


04

Extraordinary Colleagues

Learn and collaborate alongside the best in the industry, including fellow engineers.


Recently posted jobs

Fintech • Information Technology • Software • Financial Services • Big Data Analytics
The Quantitative Researcher will utilize mathematical and statistical modeling, along with programming skills in C++ or Python, to develop predictive models and portfolio optimization techniques. They are expected to conduct impactful research focused on financial markets, driving innovative solutions through continuous learning and questioning existing methods.
Fintech • Information Technology • Software • Financial Services • Big Data Analytics
The Citadel Associate Program provides interns with hands-on experience in equities investing, focusing on financial modeling, data analysis, and collaboration within investment teams. Participants will engage in research projects, receive training in investment strategies, and gain exposure to Citadel's advanced technology and risk management systems.
Fintech • Information Technology • Software • Financial Services • Big Data Analytics
As a Quantitative Research Analyst, you'll develop and improve mathematical models and trading strategies using complex statistical techniques on financial data. Responsibilities include backtesting and implementing trading models, conducting research for monetization systems, and translating algorithms into code.