About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

A-Team Webinar to Discuss Data Transformation in Quant Research and Trading

Subscribe to our newsletter

Quantitative workflows rely on sourcing, aggregating, normalising and managing data. This can be highly resource-intensive, leading to a situation where some financial institutions with quant shops are more focused on data management than on data science and modeling.

So how can the data ingestion, management, and pipeline processes of quant workflows be streamlined, allowing quants to concentrate on their primary responsibilities such as building models, testing them, exploring alternative data sources, accessing available data models and libraries, and ultimately generating alpha?

This will be the subject of A-Team Group’s upcoming webinar on 14th March 2023, ‘Transforming Data Experiences in Quantitative Research and Trading’, featuring James McGeehan, Industry Principal, Financial Services and Bryan Lenker, Industry Field CTO, Financial Services at Snowflake.

“The data wrangling challenge in data science is significant,” says McGeehan. “With the increasing volume, variety, velocity, and veracity of data, having the ability to process, test and run transactional and analytical workloads and to speed up time to value is crucial, particularly with the real-time data sets needed in the financial markets space. Being able to simplify infrastructure, break down data silos, and enable quick insights is becoming increasingly essential.”

The webinar will look at how leading firms are transforming their data architectures and leveraging native application frameworks to access more data, power quantitative models, uncover unique insights and ultimately add value to their end users and customers.

“One of the key challenges is accessing and utilising multiple sources of data,” says Lenker. “Legacy technology platforms are unable to manage this end-to-end. Thus, organisations need to adopt a technology stack that enables users to access, build models with, and share data efficiently. Instead of relying on multiple tools and channels, organisations should approach their enterprise data strategy as a holistic entity and consider how and where the data output will be shared, internally or externally.”

“Multiple taxonomies and physical data movement cause redundant copies, stale data, and incomplete analysis,” adds McGeehan. “Modern application frameworks that unify data intelligence without physical movement, bringing intelligence to data in a secure environment, are key to achieving faster investment research, reducing data management, promoting security and governance, and enabling quicker monetisation.”

Please join us for what we expect will be an informative and enlightening discussion.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unlock the Future of European Equities & Trading Technology: 2024 and Beyond!

In a world where the financial landscape is perpetually evolving, 2023 has brought widespread discussions around liquidity, regulatory shifts in the EU and UK, and advancements like the consolidated tape in Europe. For the year ahead in 2024, the European market is poised for transformative changes that will influence the future of trading technology and...

BLOG

3d innovations and Element22 Partner to Enhance Data Management for Financial Firms

Data management products and services provider 3d innovations (3di) has announced a strategic partnership with Element22, a consultancy and technology solutions firm focused on modernising data management in financial services. The collaboration aims to empower CIOs and CDOs at both buy-side and sell-side firms to modernise and streamline their market data commercial management operations. In...

EVENT

ESG Data & Tech Summit London

The ESG Data & Tech Summit 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

Institutional Digital Assets Handbook 2023

After initial hesitancy, interest in digital assets from institutional market participants has grown over the past three to four years. Early focus inevitably centred on the market opportunities presented by bitcoin and other cryptocurrencies. But this has evolved into a broad acceptance of a potentially meaningful role for digital assets in institutional markets. It’s now...