Citadel Securities

Citadel Securities

HQ
Miami, FL
Total Offices: 4
1,700 Total Employees
Year Founded: 2002

Benefits at Citadel Securities

Financial + Retirement

401(K)

401(K) matching

Performance bonus

Child Care + Parental Leave

Adoption Assistance

Childcare benefits

Company sponsored family events

Family medical leave

Generous parental leave

Office Perks

Commuter benefits

Company-sponsored outings

Fitness stipend

Free daily meals

Company-sponsored happy hours

Free snacks and drinks

Some meals provided

Professional Development

Continuing education stipend

Customized development tracks

Job training & conferences

Mentorship program

Promote from within

Lunch and learns

Tuition reimbursement

Personal development training

Health Insurance + Wellness

Dental insurance

Disability insurance

Flexible Spending Account (FSA)

Health insurance

Life insurance

Vision insurance

Wellness programs

Mental health benefits

Diversity

Diversity manifesto

Diversity employee resource groups

Hiring practices that promote diversity

Diversity recruitment program

Culture

Volunteer in local community

Pair programming

Partners with nonprofits

Team based strategic planning

OKR operational model

Employee resource groups

In-person all-hands meetings

Vacation + Time Off

Paid holidays

Paid sick days

Flexible time off

Floating holidays

Search the 56 jobs at Citadel Securities

Fintech • Information Technology • Software • Financial Services
Design, develop, and deploy software solutions for automated trading systems. Partner with Quantitative Research team to deliver custom software solutions.
Fintech • Information Technology • Software • Financial Services
Design, develop, test, and deploy elegant software solutions for automated trading systems. Partner with the Quantitative Research team to define priorities and deliver custom software solutions.
Fintech • Information Technology • Software • Financial Services
Senior Research Engineer (Data) responsible for curating large-scale structured and unstructured data, translating high-level queries, developing data pipelines, and setting up analytical infrastructure. Must have experience driving business outcomes through data engineering and strong coding skills in Python and SQL.