> Markdown version of [/jobs/ext/4623303-data-analyst](https://www.wearedevelopers.com/jobs/ext/4623303-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Analyst

- **Company:** Cantor Fitzgerald
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $120,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, JIRA, Code Review, Extract Transform Load (ETL), Database Queries, DevOps, R (Programming Language), JSON, Python (Programming Language), Machine Learning, Microsoft SQL Server, Oracle (Applications), Pentaho Data Integration, Extensible Markup Language (XML), Sybase, Git, Data Analytics, Restful APIs, Software Version Control
- **Published:** November 7, 2026
- **Apply:** https://www.dice.com/job-detail/477130e7-16d7-4638-9150-6c58323e273b

## About the Role

* 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.

## Description

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., * 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.