Cantor Fitzgerald Securities
Cantor Fitzgerald Securities

Data Analyst

New York, NY, US • Posted 2 days ago • Updated 1 day ago
Full Time
On-site
USD $120,000.00 - 150,000.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Valuation
  • Documentation
  • Version Control
  • Code Review
  • Testing
  • Emerging Technologies
  • Risk Management
  • Data Quality
  • Dashboard
  • Collaboration
  • Front Office
  • Financial Services
  • Data Analysis
  • Artificial Intelligence
  • SQL
  • Microsoft SQL Server
  • Sybase
  • Oracle
  • Python
  • R
  • Machine Learning (ML)
  • DevOps
  • Git
  • JIRA
  • Communication
  • Market Risk
  • Analytics
  • Extract
  • Transform
  • Load
  • Pentaho
  • Hitachi
  • JSON
  • XML
  • RESTful

Summary

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 Expectations: $120,000-$150,000

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  • Dice Id: 90922487
  • Position Id: 24975487
  • Posted 2 days ago
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