A-Team Insight Blogs

GoldenSource Ushers Reference and Pricing Data into the Front Office with Quant Workbench

Extracting value from data is a priority for financial institutions as the business looks to increase efficiency, reduce costs, identify new opportunities and gain competitive advantage. Some source in-house tools to improve the quality and accessibility of internal and external data, others look to third-parties for solutions.

A new tool from GoldenSource, Quant Workbench, brings the vendor’s reference data, traditionally used in back-office data management, into play in the front office. The workbench is designed to help firms make better use of the data by running sophisticated analytics and quantitative research directly on available reference and pricing data.

On the buy side, with interest rates at rock bottom, a streamlined approach to analytics has become important to asset managers looking to improve their yield. On the sell side, quants and analysts working off approved centralised data sources can cut data costs, reduce terminal use, and leverage data that is common across trading desks.

Quant Workbench acknowledges increasing interest in bridging market and reference data from the back office to the front office. It is the company’s first packaged tool for the front office and designed specifically for quants and analysts.

Charlie Browne, head of market data and risk solutions at GoldenSource, says: “We have spent the past few years getting reference data, market data, time series data, curves, volatility, risk and quant type data into our enterprise data management (EDM) system. Our customers are interested in taking advantage of the data, and now quants want to get involved and have direct access to centrally stored data rather than working with spreadsheets and downloads.”

The Quant Benchmark complements the company’s back-office packages dedicated to generating financial reports for a variety of regulations. It provides access to cleansed, normalised, validated and standardised reference and pricing data in the GoldenSource EDM system, as well as investment factors and curves, surfaces, risk factor and historical time-series data.

Its key ingredient is an integrated development environment including the Jupyter notebook that allows quants and analysts direct access to the data, the ability to code in the development environment, and then use change control processes to bring code into their own development environments. Sample calculations are included covering both buy-side and sell-side use cases.

Browne explains: “Quant Workbench offers a standardised development framework for quants and analysts. The capability sits around the data to provide a direct interface to quant libraries and the ability to drill down for data.” Benefits of the solution, he adds, include efficiency of development, a user-friendly standardised approach to development, and a potential reduction in costs.

Related content

WEBINAR

Recorded Webinar: The post-Brexit UK sanctions regime – how to stay safe and compliant

When the Brexit transition period came to an end on 31 December 2020, a new sanctions regime was introduced in the UK under legislation set out in the Sanctions and Anti-Money Laundering Act 2018 (aka the Sanctions Act). The regime is fundamentally different to that of the EU, requiring financial institutions to rethink their response...

BLOG

2021 Predictions: Change is Afoot

By Marc Murphy, CEO, Fenergo. It almost feels like the financial industry went to bed in March 2020 and woke up in 2030. Prior to the pandemic, financial institutions had been falling behind when it came to digital transformation, only increasing resources when absolutely necessary. But now, the pandemic has forced financial institutions to make...

EVENT

LIVE Briefing: ESG Data Management – A Strategic Imperative

This breakfast briefing will explore challenges around assembling and evaluating ESG data for reporting and the impact of regulatory measures and industry collaboration on transparency and standardisation efforts. Expert speakers will address how the evolving market infrastructure is developing and the role of new technologies and alternative data in improving insight and filling data gaps.

GUIDE

Entity Data Management Handbook – Seventh Edition

Sourcing entity data and ensuring efficient and effective entity data management is a challenge for many financial institutions as volumes of data rise, more regulations require entity data in reporting, and the fight again financial crime is escalated by bad actors using increasingly sophisticated techniques to attack processes and systems. That said, based on best...