The Data Analyst partners with Risk Management to gather requirements, analyze data, calculate risk measures, and build dashboards. Responsibilities include developing ETL pipelines and data models, ensuring data quality, documenting analytics, applying testing and deployment practices, evaluating emerging technologies, and collaborating with front-office and technology teams to implement risk solutions.
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.
- 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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Cantor Fitzgerald New York, New York, USA Office
499 Park Avenue, New York, NY, United States, 10022
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