The leading knowledge platform for the financial technology industry
The leading knowledge platform for the financial technology industry

A-Team Insight White Paper

Systematic Internalisation Under MiFID II: What’s Needed Now

From September 1, 2018, firms within the scope of MiFID II that breach volume thresholds set by ESMA on August 1, 2018 for internal matching of client orders will be required to register as systematic internalisers (SIs) and operate within the SI regime detailed in the regulation. Sounds pretty straightforward, but that is far from...

Post-trade ETD – where all the sticking plaster got used!

The fund management industry’s shift to passive funds and embrace of smart-beta funds over the past decade or so has shaved margins to the extreme. In this environment, operational efficiency becomes an existential issue. Across a broad swathe of asset classes, front-office technologies have kept pace with massive changes in market structure driven by regulation...

MiFID II: What’s Next?

With regulators indicating that they will enforce MiFID II in the second half of this year, how robust is your compliance solution? How ready is it to take on the oncoming requirements of the regulation? And to what extent do you need to review and renew systems to achieve a sustainable, industrialised and cost-efficient solution?...

MiFID II: Industrialising the Response Using UL BRIDGE

Many firms within the scope of Markets in Financial Instruments Directive II (MiFID II) struggled to meet the regulation’s deadline of January 3, 2018 and are now waking up to the fact that many of the processes put in place for implementation day are not sustainable. To achieve and maintain MiFID II compliance over time...

Trading Infrastructure Testing: Taking an Enterprise Approach

Over time, trading operations have become complex networks of different applications using diverse technologies tied together into an overall trading infrastructure. Testing has evolved in a similar ad hoc way and, as a result, firms often lack a coherent testing strategy. This could leave them open to trading errors on the scale that pushed Knight...

Embracing Client Behavioural Analysis for Improved Business Outcomes in Fund and Wealth Management

Emerging innovative technologies are presenting financial institutions with a unique opportunity to better understand the needs of their clients and cross-/up-sell accordingly. Tapping into new data sets and advanced data management techniques, financial institutions are starting to perform the kind of client behavioural analysis common in other industries. Retail financial institutions like fund managers are...

Feeding the Drive Toward Automation in Trading and Investment Operations

As financial institutions continue to move toward automation, the need to feed systems with accurate and timely data is critical. Consistency of data throughout the transaction workflow is also essential, meaning financial institutions need to choose their data sources carefully. Based on an A-Team Group survey, and sponsored by Thomson Reuters, this paper considers drivers...

Regulatory Compliance: The Use of Twitter in Financial Services

Twitter has emerged as a source of market-moving information. But it’s difficult to get Twitter delivered to your trading desk, for a variety of reasons, ranging from concerns about market abuse, to the proliferation of fake news and the potential risk of reputational damage. By banning Twitter, trading firm management may be seeking to avoid...

Vendor Contract Compliance: The Importance of Getting it Right

Understanding in-house consumption of vendor data and ensuring compliance with multiple contracts for market data and other information can be challenging, particularly for financial institutions managing large volumes of contract clauses across hundreds of suppliers. The contract compliance problem often revolves around institutions’ lack of transparency into actual data usage of information services they pay...

Managing data for the Fundamental Review of the Trading Book (FRTB)

FRTB presents banks with a number of organisational, computational and data granularity challenges. These require firms to review the structure of their trading desks, adopt revised risk models, and source extensive data including 10-plus years of time-series data. This white paper, sponsored by Thomson Reuters and GoldenSource, details the regulation’s demand for additional data, examines...