Data Management Analyst
At a glance
Mid-level Data Architecture & Governance role at Cantor Fitzgerald/BGC. Chicago · full-time · $60,000–$100,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Validate daily prices, curves, rates and reference data across asset classes, reconciling inconsistencies
- Assess pricing differences and shifts in market data to support valuation and risk decisions
- Keep pricing records and historical series current for valuation models, risk systems and investment workflows
- Resolve data and system problems affecting pricing, NAV calculations and trading, partnering with technology teams on root causes
- Configure instrument, pricing and feed settings, and build reports that monitor data quality
What you bring
- A bachelor's degree or equivalent from abroad in data science, business analytics or a related discipline
- Three years of financial-services experience at a hedge fund or asset manager
- Experience with pricing data for equities, fixed income and another listed asset class, plus named market-data feeds
- Use of SQL and Python to validate, transform and analyze large financial datasets
Who this fits
This mid-level role suits you if you've worked with financial data, pricing and valuation support. The worksite is in Chicago, with telecommuting permitted one or two days a week.
From the employer
Employer: Cantor Fitzgerald Technology Markets, LLC
Job Title: Data Management Analyst
Worksite Address: 227 West Monroe St, Chicago, IL 60606
Manage and validate market and pricing data from external vendors to support valuation, investment analysis, and firmwide reporting processes. Perform daily data quality checks and reconciliation of prices, curves, rates, and reference data across multiple asset classes, and perform quantitative analysis of pricing discrepancies and market data trends to support valuation and risk management decisions. Maintain and update pricing data sets and historical time series used in valuation models, risk systems, and investment workflows. Troubleshoot and resolve market data and system issues impacting 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 (Telecommuting is permitted 1-2 days a week).
Requires a bachelor’s degree or foreign equivalent in Data Science, Business Analytics or closely related field and requires three (3) years of experience in a hedge fund or asset management role within the financial services field. Experience must include: Market and pricing data concepts across multiple asset classes, including equities, fixed income, derivatives, and commodities. Market data vendors and pricing feeds including Bloomberg, Refinitiv, ICE financial data platforms. Financial data analysis, pricing, valuation support, and market data management. Large-scale financial datasets and high-volume data processing in pricing and market data environments. SQL and Python for financial data validation, transformation, and analysis. $60,000 – $100,000 per year and standard employee benefits.
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