Data Analyst

Cantor Fitzgerald/BGC•New York, NY

3d•$120,000 - $150,000

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. This hands-on role offers broad exposure across asset classes, risk methodologies, and the full data lifecycle, from source systems to dashboards used by risk managers, while evaluating and integrating emerging technologies.

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.
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.
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.