Chicago, IL, United States
Actively hiring, first seen by us 5 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Run daily data quality checks and reconcile prices, curves, rates and reference data
Troubleshoot market data and system issues affecting pricing, valuation and NAV
Maintain pricing data sets and historical time series used in valuation models
Build dashboards and monitoring tools to track data quality
Use SQL and Python to process and validate large financial datasets
Perform daily data quality checks and reconciliation of prices, curves, rates, and reference data across multiple asset classes
Troubleshoot and resolve market data and system issues impacting pricing, valuation, NAV calculations, and trading processes
Maintain and update pricing data sets and historical time series used in valuation models, risk systems, and investment workflows
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
Actively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.
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Day 5
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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.
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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We file this job under Data Governance, by the work the posting describes.
Data governance staff keep a company's data accurate, documented and used within the rules. They agree what key fields mean, set up quality checks, track who owns each dataset and look after master data.
Postings ask for SQL, a governance tool such as Collibra or Informatica, knowledge of privacy and data rules, and a lot of work with other teams.
A data engineer builds the systems that move data; governance staff set and check the standards that data has to meet.
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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Chicago, IL, United States
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