Data Analyst

Cantor Fitzgerald; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

Cantor Fitzgerald Ireland Ltd. is seeking a Data Analyst to partner with Risk Management, translate requirements into reliable analytics, and drive data‑driven decisions. You will work across asset classes and risk methodologies, from source systems to dashboards, while evaluating emerging technologies.

You will build ETL pipelines, maintain data models, and deliver clear documentation for stakeholders and auditors, ensuring data quality and robust risk insights.

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.

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.

Skills

AI-assisted coding

Python/R ML

Data analytics in finance

Quantitative communication

Credit/market risk concepts

RiskMetrics familiarity

JSON/XML/REST

Tools

Git

Jira

MS SQL Server

Sybase

Oracle

Pentaho

Hitachi Vantara

JSON

XML

RESTful services

Job description

Job 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.

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

Compensation Expectations: $120,000-$150,000