Data Analyst

Cantor Fitzgerald • New York, NY

3d

About The Position

The Data Analyst works side-by-side with Risk Management to translate business requirements into reliable, well-documented analytics that support real-world decisions. The hands-on role provides exposure to asset classes, risk methodologies, and the full data lifecycle, from source systems to dashboards used by risk managers, while evaluating and integrating emerging technologies.

The role develops and enhances risk processes and analytics, builds dashboards and visualizations, maintains ETL pipelines and data models, and ensures data quality from source systems through to dashboards. It also involves collaboration with Risk Management, front-office, and technology teams, and documentation for internal stakeholders, regulators, and auditors.

Requirements

• At least 2 years of professional experience in financial services or data analytics.
• Proficiency with AI-assisted coding tools and platforms.
• Strong SQL skills, including MS SQL Server, Sybase, or Oracle.
• Python and/or R programming skills, with statistical and machine-learning knowledge.
• Experience with DevOps tools such as Git and Jira.
• Excellent written and verbal communication skills, including the ability to explain quantitative results to non-technical stakeholders.
• Knowledge of credit and market risk concepts.

Nice To Haves

• Familiarity with MSCI RiskMetrics or similar risk analytics platforms.
• Experience with ETL tools such as Pentaho/Hitachi Vantara.
• Experience with structured data formats such as JSON and XML, and RESTful services.

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.
• Use AI-assisted coding tools to accelerate development while ensuring accuracy.
• Evaluate emerging technologies and recommend their integration into Risk Technology applications.
• Develop and maintain ETL pipelines and data models supporting risk analytics.
• Ensure data quality and integrity across source systems through dashboards.
• Collaborate with front-office and technology teams to implement risk solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed