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Cantor Fitzgerald/BGC
Posted today · Jobs at Cantor Fitzgerald/BGC
Data Analyst
Cantor Fitzgerald/BGC · New York, New York, United States
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In short
Partner with Risk Management and other teams to gather requirements, build risk processes and analytics, and develop ETL pipelines and data models. Deliver dashboards and documentation, maintain data quality, follow software development practices, and evaluate emerging technologies for risk applications.
What they're looking for
MUST-HAVE SKILLS
ALSO MENTIONED
Requires at least two years of professional experience in financial services or data analytics, strong SQL skills, and proficiency in Python and/or R with statistical and machine-learning knowledge. Candidates should also have experience with AI-assisted coding, DevOps tools, risk concepts, and relevant analytics platforms, ETL tools, data formats, and RESTful services.
About the employer
Cantor Fitzgerald
hiring as Cantor Fitzgerald/BGC
Cantor Fitzgerald is a leading global financial services firm, serving clients from over 30 offices around the world. Founded in 1945 as a securities brokerage and investment bank, the firm pioneered computer-based bond trading, built one of the broadest distribution networks in the industry and became the market’s premier dealer of government securities.
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Today, Cantor Fitzgerald is known for its strength across a diverse array of businesses, including equity and fixed income capital markets, investment banking, commercial real estate finance and services, prime brokerage, asset management and wealth management, and e-commerce and online ventures. In all its businesses, the firm is an acknowledged leader in developing advanced technologies to expand market access, and help clients achieve their most important financial and strategic objectives. This commitment to client-centered innovation has led to enduring relationships with many of the world’s most demanding institutional investors and corporations. For more information please visit www.cantor.com.
- INDUSTRY
- Financial Services
- COMPANY
- Privately Held
- HEADQUARTERS
- New York, New York
- SIZE
- 10,001+
- OFFICES
- 39 on LinkedIn
- OPEN HERE
- 2 roles
KNOWN FOR
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Questions about this role
- Is this Cantor Fitzgerald/BGC role remote?
- Tagged on site.
- What does it pay?
- The posting lists $120,000–$150,000 a year.
- Does it sponsor visas?
- Listed as no visa sponsorship.
- What experience does it ask for?
- Listed as 2-5 years.
The posting, in full
The Data Analyst will work side‑by‑side with Risk Management to translate business requirements into reliable, well‑documented analytics that drive real‑world decisions. This hands‑on role offers broad exposure across asset classes, risk methodologies, and the full data lifecycle—from source systems to the dashboards risk managers rely on—while evaluating and integrating emerging technologies.
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The Data Analyst will work side‑by‑side with Risk Management to translate business requirements into reliable, well‑documented analytics that drive real‑world decisions. This hands‑on role offers broad exposure across asset classes, risk methodologies, and the full data lifecycle—from source systems to the dashboards risk managers rely on—while evaluating and integrating emerging technologies.
Responsibilities
- Partner with Risk Management to gather, refine, and document requirements.
- Build and enhance risk processes, including data analysis, asset valuation, and custom risk measure calculations.
- Design and deliver dashboards and visualizations for technical and non‑technical audiences.
- Write clear documentation for internal stakeholders, regulators, and auditors.
- Follow industry‑standard source control, code review, testing, and deployment practices.
- Leverage AI‑assisted coding tools to accelerate development while ensuring accuracy.
- Evaluate emerging technologies and recommend integration into Risk Technology applications.
- Develop and maintain ETL pipelines and data models supporting risk analytics.
- Ensure data quality and integrity across source systems to dashboards.
- Collaborate with front‑office and technology teams to implement risk solutions.
Qualifications
- 2+ years of professional experience in financial services or data analytics.
- Proficiency with AI‑assisted coding tools and platforms.
- Strong SQL skills (MS SQL Server, Sybase, Oracle).
- Python and/or R programming with statistical and machine‑learning knowledge.
- Experience with DevOps tools (Git, Jira).
- Excellent written and verbal communication, able to explain quantitative results to non‑technical stakeholders.
- Knowledge of credit and market risk concepts.
- Familiarity with MSCI RiskMetrics or similar risk analytics platforms.
- Experience with ETL tools such as Pentaho/Hitachi Vantara.
- Experience with structured data formats (JSON, XML) and RESTful services.
Compensation Expectations: $120,000-$150,000
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