Data Analyst, Market Risk

Cantor Fitzgerald/BGC Open

Hybrid Warsaw Full-time Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at Cantor Fitzgerald/BGC. Warsaw · full-time.

Pay not stated Data Analyst salary

RoleData Analysis & BI

SeniorityMid-level

LocationWarsaw

WorkplaceHybrid

EmploymentFull-time

PostedNov 9, 2026

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Turn risk managers’ needs into practical tools and reports by working through requirements with them
Build data flows for imports, ETL, transformations and report generation, then improve how they run
Develop analysis, asset valuation and custom risk-measure processes, and show results in dashboards
Write documentation for internal and regulatory readers, and follow sound practices for source control and deployment
Assess emerging technology for potential use in Risk Technology applications

What you bring

Strong Python skills, including hands-on work processing and analyzing data with tools such as Pandas
Strong SQL and relational database experience, including table structure, indexing and query performance
Experience creating data pipelines and presenting results with visualization tools
Experience using Git, plus practical day-to-day use of AI coding tools
Clear communication with business users, including explaining technical topics

Who this fits

This role suits a mid-level data analyst or developer who can work with risk managers and translate business needs into technical outputs. It is based in Warsaw, Poland, with a hybrid arrangement. Background in finance, especially credit or market risk, is preferred.

From the employer

Python Data Developer – Risk Technology
Company: Cantor Fitzgerald
Team: Risk Technology
Location: Poland (Warsaw)
Employment type: Full-time, permanent

Work directly with risk managers to understand requirements and turn them into practical tools and reports.
Build and enhance data pipelines covering data import, ETL, transformation, and report generation.
Develop and improve processes for data analysis, asset valuations, and custom risk measure calculations.
Present data through dashboards and visualizations (e.g. Python, Tableau, or similar tools).
Document your work for internal and regulatory audiences.
Follow good engineering practice for source control and deployment.
Evaluate new and emerging technologies and their suitability for Risk Technology applications.

Solid proficiency in Python, with hands-on experience in data processing and analysis (e.g., Pandas).
Strong SQL skills and experience with relational databases (MS SQL Server, Oracle, Sybase), including table design, indexing, and query optimization.
Experience building data pipelines covering data import, ETL, transformation, and report generation.
Experience presenting data with visualization tools (Python libraries, Tableau, or equivalent).
Experience with Git and version control best practices.
Practical, everyday use of AI coding tools.
Ability to work with business users and explain technical topics clearly.

Preferred Qualifications

Background in finance, ideally credit or market risk.
Experience with big data technologies (e.g., Spark).
Knowledge of statistics and machine learning concepts.
Experience with R or Java.
Experience with Jira and DevOps practices.
Experience with ETL tools (e.g., Pentaho), JSON/XML, and RESTful services.
Familiarity with risk, margin, or fund accounting systems.

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