Data Analyst

Cantor Fitzgerald/BGC Open

NY, United States Full-time Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at Cantor Fitzgerald/BGC. NY, United States · full-time · $120,000–$150,000 base.

SalaryStated by Cantor Fitzgerald/BGC

$120,000 – $150,000

Base salary for this role, in USD per year, as published in the posting.

RoleData Analysis & BI

SeniorityMid-level

LocationNY, United States

EmploymentFull-time

Base pay$120,000–$150,000

PostedNov 4, 2026

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Turn Risk Management requests into documented analytics that support business decisions
Analyze data, value assets and build custom risk measures for risk processes
Create dashboards and visualizations for technical and non-technical audiences
Build ETL pipelines and data models, checking data quality from source systems through dashboards
Document analytics for internal teams, regulators and auditors, and assess technologies for risk applications

What you bring

At least two years working in financial services or data analytics
Strong SQL ability with platforms such as MS SQL Server, Sybase or another listed database
Python or R skills, including statistics and machine learning, plus familiarity with AI-assisted coding tools
You can explain quantitative findings clearly to non-technical audiences, in writing and conversation

Who this fits

This hands-on role suits a mid-career analyst who can work across Risk Management, front-office and technology teams. You’ll apply risk analytics throughout the data flow, from source systems to dashboards, while following established practices for version control, review, testing and deployment.

From the employer

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.

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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