Data Management Analyst

Cantor Fitzgerald•Chicago, IL

2d•Hybrid

About The Position

Cantor Fitzgerald Technology Markets, LLC is hiring a Data Management Analyst to manage and validate market and pricing data from external vendors. The role supports valuation, investment analysis, firmwide reporting, risk management, and trading workflows. The analyst performs daily data-quality checks and reconciliations across multiple asset classes, maintains pricing datasets and historical time series, investigates pricing discrepancies and system issues, and works with technology teams to identify root causes and implement improvements. The position also involves configuring financial-instrument and pricing settings, developing dashboards and monitoring tools, and using SQL and Python to process, analyze, and validate large financial datasets. The analyst supports data governance and the architecture and operation of market data and pricing platforms to ensure effective integration, scalability, and alignment with valuation and reporting workflows. Telecommuting is permitted one to two days per week. The worksite is 227 West Monroe St, Chicago, IL 60606.

Requirements

Bachelor’s degree or foreign equivalent in Data Science, Business Analytics, or a closely related field.
Three years of experience in a hedge fund or asset management role within the financial services field.
Experience with market and pricing data concepts across multiple asset classes, including equities, fixed income, derivatives, and commodities.
Experience with market-data vendors and pricing feeds, including Bloomberg, Refinitiv, and ICE financial data platforms.
Experience in financial data analysis, pricing, valuation support, and market-data management.
Experience with large-scale financial datasets and high-volume data processing in pricing and market-data environments.
Experience using SQL and Python for financial data validation, transformation, and analysis.

Responsibilities

Manage and validate market and pricing data from external vendors to support valuation, investment analysis, and firmwide reporting.
Perform daily data-quality checks and reconcile prices, curves, rates, and reference data across multiple asset classes.
Analyze pricing discrepancies and market-data trends to support valuation and risk-management decisions.
Maintain and update pricing datasets and historical time series used in valuation models, risk systems, and investment workflows.
Troubleshoot market-data and system issues affecting pricing, valuation, NAV calculations, and trading processes.
Collaborate with technology teams to investigate data anomalies, identify root causes, and implement system or data enhancements.
Configure and maintain system settings for financial instruments, pricing methodologies, and market-data feeds.
Develop dashboards, reports, and monitoring tools to track data quality and support operational and investment decision-making.
Use SQL and Python to process, analyze, and validate large-scale financial datasets.
Implement and maintain data-governance practices, including data-quality controls, validation rules, and consistency standards across pricing, valuation, and reporting systems.
Support the architecture and operation of market-data and pricing platforms, ensuring proper data integration, scalability, and alignment with valuation and reporting workflows.