Investment Banking, Financial Services, Capital Markets

Data Analyst

New York, NYOnsiteFull Time$120,000–$150,000 /yrPosted 2 days agoVisa sponsorship available

Is this role right for you?

Upload your resume and get a skill-by-skill breakdown — see exactly where you match, where you're close, and what to highlight. Not a mystery percentage.

Get a tailored resume highlighting what this role needs.

Required skills

SQL
MS SQL Server
Sybase
Oracle
Python
statistical
machine-learning
AI-assisted coding
DevOps
Git

Nice to have

financial services
data analytics
risk analytics platforms
structured data formats

Role summary

The Data Analyst will partner with Risk Management to translate business needs into reliable analytics, driving informed decisions. This role involves hands-on work across asset classes and the data lifecycle, from source systems to dashboards. Responsibilities include building risk processes, designing visualizations, documenting solutions, and maintaining ETL pipelines. The analyst will also evaluate and integrate emerging technologies, leveraging AI-assisted coding tools and adhering to DevOps practices. A strong understanding of SQL, Python/R, data modeling, and risk concepts is essential.

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

#LI-JM3

Ready to apply?

You'll be redirected to Cantor Fitzgerald's application page.