Solutions

Our consulting and services teams are experts in financial data, with practical experience in over 65 banking and buy-side implementations around the world.

From post-trade processing to independent price verification and stress testing, Asset Control provides insight-driven financial data management solutions for any application. A solid data sourcing and mastering process is combined with easy ways to distribute, integrate, discover and explore the data.

Asset Control’s provides a standard data model that tracks regulatory developments and keeps integration with content providers up to date. Its business rules capabilities can be used for risk factor classification, taxonomies, proxy management, risk factor preparation and eligibility tests

Asset Control’s provides a standard data model that tracks regulatory developments and keeps integration with content providers up to date. Its business rules capabilities can be used for risk factor classification, taxonomies, proxy management, risk factor preparation and eligibility tests

Products

Our range of products help financial organisations deliver high-quality reference, market and risk data to the people and applications that need it – on time, all the time

Meet the specific data requirements of risk management and new regulation

Providing award-winning data mastering engine with AC Plus

A comprehensive file management and scheduling system through AC Connect

The industries largest managed data lakes for seamless data acquisitions

Continually innovating to stay on top of new customer requirements and technologies in data storage and processing

A comprehensive library of APIs and direct feeds to downstream systems

Services

Asset Control helps financial organisations deliver high-quality reference, market and risk data to the people and applications that need it – on time, all the time

Helping our customers succeed through client engagements while building personal connections

We are committed to empowering our customers to use our products to their full potential through our support services, individually tailored classroom-based training, easy-to-access e-learning modules and our state of the art Customer Portal.

Optimize operational costs by utilizing both our expertise and that of our partners for business processing right through to technology operations

Insights

The latest data management research and commentary from Asset Control

Industry comment and analysis from the Asset Control team

Data management applications and best practice videos

Insight on industry trends, regulatory challenges and solutions

About Us

Delivering high-quality reference, market and risk data to the people and applications that need it – on time, all the time

Proven for unrivaled adaptability, reliability and efficiency

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Asset Control partners with data, implementation and managed service firm to enhance clients’ experience of our data management solutions

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The valuation imperative - Part III

Raising the bar in market data management

IPV market solutions: how can Asset Control help?

At Asset Control, we know the best practices in market data management. We group these requirements into system requirements, data inputs, workflow requirements, business rules, reporting and monitoring requirements.

Managing market data sources

  • A solution must be able to handle multiple sources for different data types and cross-compare these to gain a comprehensive market view and improve data quality. New sources must be easily onboarded
  • A solution must be able to cross-reference information, consolidate sources of price information and apply validation and cleaning routines to create market derived prices. Comparing and contrasting market data sources is needed both to spot inconsistencies but also to check/monitor the quality of a market data source.
  • A solution must be able to handle complex structures such as curves and surfaces so that fair value triggers can be based on them

Historical market data and handling large data volumes

  • A solution must be able to store historical data so that the operational user can perform operational efficiency, data quality, vendor performance, and back testing analysis without the need to store historical data separately in Excel
  • A solution must be able to store historical adjustment factors so that operational users can include these in their analysis
  • A solution must be able to retrieve historical price data from vendors so that the operational users can backfill historical data for new securities in the system

Data derivation

  • Ability to create, manage and maintain price curves and surfaces and apply rules and models.
  • Ability to easily see the dependencies of curves and surfaces, to accurately diagnose why certain price differences occurred – remediation and improvements
  • Integrate external pricing and valuation libraries with minimal IT development effort to use libraries for XVA adjustments and Prudent Valuation
  • Monitoring and exception processing
  • A solution must be able to alert the user when a feed is delayed so that the user can take preventive action
  • A solution must be able to alert users to missing and late data
  • The solution should summarize KPIs in a dashboard so that users can promptly act
  • The system must trigger audit/validation rules to re-apply when making changes so that risks of manual input mistakes is reduced

Data distribution and discovery

  • A solution should provide easy access to data scientists van quants for modelling and backtesting via integration with typical languages such as Python and R.
  • A solution must be able to distribute data by file transfer, APIs or streaming
  • A solution must be able to distribute a given set of data immediately, while another set will wait for approval so that different processes can use different mechanisms
  • A solution must fit into existing information architectures and supply different downstream applications

Security and permissioning

  • A solution must be able to recognize different users with different permissions so that only specific users can perform specific tasks, and thereby reducing operational risks
  • A solution must be able to assign ownership of data elements (meta data and values) so that only the right users can make modifications and thereby enabling a larger group of user access for analysis purposes
  • A solution must be able to enforce a 4-eyes/review principle so that the same user cannot perform cleansing and approval tasks

Audit and lineage

  • Full audit trail to record changes and decisions on changes in business rules and data source hierarchy
  • Lineage to explain to internal audit and regulators what sources have been used
  • Keep track of what market data you use and what is redundant.

In summary, Asset Control helps improve legacy internally build IPV solutions by tackling the following: 

Legacy infrastructure

Asset Control

High cost of maintenance and inability to scale

·        Scalable solution with flexible deployment options

Often time consuming and difficult to get to data, especially in new use cases

·        Business user enablement to self-service data needs lowers cost of change

Infrastructure dependent on numerous spreadsheets and internally build software

·        Single product that can comprehensively cover all IPV requirements

·        Full data linage and audit of all changes

Manual processes and high workload

·        Data sourcing and screening business rules and workflow that lowers manual intervention

Inconsistent use of standard data sources

·        Large set of fully maintained interfaces with external data sources and easy incorporation of internal sources

·        Cross-reference between multiple sources for easy comparison

Difficulty to oversee entire data process leads to operational risks and data quality issues

·        Ops360 insight into data supply chain including quality stats and SLAs

·        Fully maintained and documented product solution

 

About the author

As VP - Product Management, Martijn Groot steering Asset Control's strategy for innovation and directs product investment and communications.  Martijn has unrivalled financial and risk data experience, as well as extensive knowledge of our customers, having held Market Strategy and Business Development roles here prior to rejoining the company in 2015. A published author, with an MBA from INSEAD and an MSc from VU University Amsterdam, Martijn's career history spans a variety of areas, including software development, financial analytics, risk, product and consultancy, at firms such as ABN AMRO, Euroclear and IGATE.

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