Reference Data

TAKE CONTROL OF YOUR DATA.
WITH MORE CERTAINTY.
MORE CLARITY.
MORE CONFIDENCE.

Better data management for better governance and risk mitigation

REFERENCE DATA SOLUTIONS PRODUCTS

Security Master / Corp Actions Master / Entity Master / Product Master

It’s not getting easier for the sell side.

There’s more financial complexity. More regulatory challenges. More economic and geopolitical uncertainty. More client expectations for hyper-personalized, digital-first services. More expectations for greater transparency.

All these factors are increasing the demand for diverse, timely data – reliable data that is vital for key regulated processes like daily P&L, IPV, market risk, FRTB, corporate actions, settlements, and collateral management.

Our cloud-native Reference and Market Data Solutions unify fragmented financial data into one trusted source, boosting data quality, governance, and compliance with full lineage and auditability. This centralized approach delivers a clear single source of truth for all consuming systems — essential for banks and trading firms where delays or errors are not tolerated.

Engineered for resilience, adaptability, and scalability, our platform equips the sell side with the tools needed to confidently meet today’s evolving challenges and seize new opportunities, ultimately delivering better governance and risk mitigation.

Security Master

Get complete visibility to build better risk management 
and customer relationships

  • Increase operational efficiency
  • Meet regulatory requirements
  • Create a blueprint across asset types
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GoldenSource Security Master consistently delivers accurate and reliable security master data by unifying sources through a centralized data model, advanced validation, and robust governance, helping ensure data integrity across the enterprise.

Built on the world’s most comprehensive data platform, Security Master seamlessly integrates market and reference data from diverse internal and external feeds—exchanges, central securities depositories, and leading data providers like Bloomberg, LSEG, ICE, and others – to more effectively navigate today’s challenges and capitalize on new opportunities.

Corporate Actions Master

Consolidate, validate, and distribute corporate actions data from multiple sources

  • Enhance efficiency and reduce risk
  • Prevent business or reputational losses
  • Gain a complete view of all action types
Building

Handling corporate actions like M&A, stock splits, dividends, and spin-offs requires flexibility for issuer-specific announcements and standardization for fast, accurate distribution. And any error or delay risks business loss or reputational damage.

Clean, valid, trusted corporate actions data impacts almost every area of equities processing. It is required for accurate time series of prices used in risk models and stress testing. Derivative pricing models need adjustments for dividends, splits, and rights issues to avoid pricing errors and hedging mistakes.

Accurate data is critical to maintaining correct index levels like the S&P 500 and DAX, and for dividend forecasting essential to swaps, futures, and TRS. And in back-office operations, corporate actions data is vital for determining entitlements, payments, proxy voting, elections, and ensuring accurate reconciliation of payments and collateral.

GoldenSource Corporate Actions Management creates a centralized gold copy by consolidating unique events from multiple sources. It supports all action types, allows configurable matching, vendor-specific comparisons, and distributes data via SWIFT ISO or email. It also manages event relationships, key dates, payment terms, taxes, and fees.

This scalable platform boosts efficiency across securities and enterprise levels by automating notifications and entitlement calculations, improving claims management, and increasing workflow transparency to reduce risk and manual effort.

Entity Master

Centralize Entity Data to Strengthen Governance and Risk Management

  • Unify fragmented data
  • Streamline compliance
  • Enhance risk and customer management
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Fragmented and decentralized customer, legal entity, and counterparty data make it difficult to achieve consistent views, effective governance, and regulatory compliance. Challenges such as inconsistent identifiers, incomplete credit risk data, and complex organizational hierarchies further complicate onboarding, auditability, and regulatory reporting.

Regulatory demands for stronger data governance, complete lineage, and resilient, timely systems continue to rise. With legacy on-premises systems increasingly seen as operational risks, adopting cloud-native solutions becomes essential.

GoldenSource Entity Master solves these issues with three centralized, cloud-native repositories:

Legal Entity Master: A global repository that stores details of every legal entity the bank or firm could interact with, whether a customer or not, covering multiple jurisdictions and structures. It integrates credit risk data for comprehensive management and risk assessment.

Customer Master: A unified repository consolidating all customer data across the bank’s divisions. Beyond basic identifiers, it creates a single customer view supporting risk, credit, ESG, and reference data for a complete and accurate understanding.

Counterparty Master: Designed for the trading and markets division, this repository manages counterparties involved in trades. It links counterparty data with credit risk and analytic tools to enhance trading efficiency and accuracy.

Product Master

Drive sales success with clear accountability

  • Organize products by category
  • Connect products to lines of business, divisions 
and roles
  • Target selling strategies with clear accountability
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Product Master is a centralized solution that catalogs and manages all products offered to clients—tangible or service-based—with revenue generated through fees.

Historically, firms managed the new product approval (NPA) process through manual spreadsheets, requiring sign-off from stakeholders in legal, trading, risk, IT, and other functions. Product Master streamlines this workflow, supporting robust product governance from initial approval to ongoing maintenance and enabling efficient cross-sell and up-sell opportunities.

Sales teams initiate the NPA when client interest arises, whether for risk-management products like IR swaptions, asset-liability solutions such as structured products, or ESG bond issuance for sustainable funding. New product proposals are reviewed monthly in collaboration with trading, quants, legal, market and credit risk, operations, finance, product control, and IT.

Each stakeholder confirms their systems and models—including linking OTC products to quant models for pricing and tracking model limitations and reserves (Deutsche Bank practice)—can support the new product. Product Master also catalogs which master agreement and settlement terms apply, ensuring proper distribution, clearing, tax treatment, and settlement for each product.

Every product is individually defined with unique characteristics, documentation, and legal agreements for compliance. Products are organized by lines—such as Investment Management or Institutional Custody—with multiple hierarchies to match reporting, profitability analysis, and marketing needs. Sitting atop the Security Master, the Product Master is essential for determining which products can be offered to which clients.

Products are mapped to the firm’s organizational structure, connecting offerings to business units, divisions, desks, and individual sales roles. This transparency drives targeted selling, clear accountability, strong governance, and regulatory reporting — all supported by ongoing maintenance and updates in the Product Master.
 

Time Series Master

Unlock next-level decision-making

  • Access reliable historical time-series data
  • Streamline workflows with automated gap-filling
  • Get full data lineage, audit trails, and transparent 
data management
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GoldenSource Time-Series Master manages vendor and gold copy historical time-series data. Its primary purpose is the provision of accurate, corrected, and timely time-series of prices, curves, and surfaces to risk systems for critical processes such as VaR, Expected Shortfall, and stress testing. In addition, quant researchers and developers benefit greatly from having this consolidated time series available in a single, centralized platform.

The platform streamlines the full data lifecycle — supporting the loading, validation, gap-filling, and adjustment of vendor and gold copy series, including those impacted by corporate actions.

Rigorous validation tools identify missing prices, detect stale data, and apply advanced statistical checks such as rolling Z-scores and EWMA, ensuring only high-quality and reliable data are delivered to risk, valuation, and trading systems.

Its seamless integration with Price Master and Curve Master further strengthens consistency across related datasets and downstream workflows. Automated gap-filling helps ensure uninterrupted analytics, while efficient integration of multiple sources results in a standardized golden copy for consistent downstream processing.

With minimal manual intervention required, Time Series Master boosts efficiency by reducing errors and accelerating updates. Comprehensive data lineage and full audit trails further support regulatory compliance, risk control, and more accurate, timely trading and risk decisions.

Quant Workbench

Unlock powerful insights and accelerate risk decisions

  • Get streamlined access to critical time-series 
and market data
  • Perform sophisticated, customized risk analysis quickly
  • Support compliance with full transparency and auditability
Quant Workbench Photo

GoldenSource Quant Workbench is a Python-based IDE for market risk management, embedded in the Time Series Master interface. It provides access to time series and reference data as a single source of truth, with tools for validation, cleansing, and gap-filling to ensure data quality, plus four-eyes approval workflows and audit trails for strong governance.

The Workbench enables precise yield and credit curve analysis using specialized views and dynamic mapping tailored to business needs. Its embedded Python environment allows fast development and execution of custom routines—statistical calculations, heat maps, principal component analyses (PCA), option quote transformations, and fixed income yield conversions—for advanced risk assessments.

Complete data lineage and drill-through link time-series data to valuation drivers, ensuring transparency and compliance with regulations like BCBS 239 and RDARR. By combining analytics, automated data quality, customization, and auditability, the platform helps improve efficiency, meet regulatory standards, and enhance risk management.

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