Our dedicated microsite showcases our deep expertise in data and technology across the financial services industry.
Our Data, Tech & AI practice delivers a wide range of consulting and transformation services. We help clients unlock the value of their data by accelerating technology maturity. From assessment and design to implementation and ongoing support, we drive successful technology change programmes.
80% of data governance initiatives are projected to fail by 2027 despite digital and market regulations that can penalise organisations for a lack of data quality e.g. regulatory reporting*
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Download »The UK’s Financial Markets Standards Board (FMSB) has laid out a game- changing recommendation.
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Download »Financial Institutions need to keep their Risk and Governance policies, processes, and controls updated to manage new risks as they test and deploy Artificial Intelligence (AI) tools.
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Download »Explore a range of our thought leadership, opinion pieces and articles. This is where we share our wisdom, insights and general know-how.
Our FS clients frequently face challenges with managing complex workflows and data pipelines, leading to high operational costs and lack of trust in data.
In today’s rapidly evolving banking landscape, ensuring compliance with international sanctions regimes is critical to preserving the integrity of the financial system. Currently, we are also witnessing significantly increased operational pressure on our clients’ screening processes due to geopolitical events such as the ongoing conflict in Eastern Europe.
In 2023, there were 2,814 data breaches, with an average cost of $5 million per breach. Despite those statistics, many CISOs still miss the critical cybersecurity strategies that could help to prevent several vulnerabilities in their cloud environments.
In this latest article, Michael Levens, Head of Payments, Niamh Kingsley, Head of Product Innovation & Artificial Intelligence, Lars Müller, DLT Project Lead and Marian McGuigan, Principal Consultant discuss the 5 Types of Digital Cash, and the Future of Stablecoin Regulation.
Though many firms are still grappling with the effects of CSDR, the financial industry stands at the edge of a significant transformation, driven by the impending shift from the current T+2 settlement cycle to a T+1 model. This change, while seemingly incremental, holds far-reaching implications for the way transactions are processed, risks are managed, and capital is utilised across the entire financial ecosystem.
Last week on July 12th, the EU Artificial Intelligence (AI) Act was published in the Official Journal as Regulation (EU) 2024/1689. This means the countdown has officially started for institutions to become compliant, and by mid-2026, the provisions of the regulation will generally be fully applicable.
At Delta Capita, we view the future 'post-digital' technology landscape as being critically defined by key innovative technologies and concepts that are summarised by the acronym DREAM-C: Distributed Ledger Technology (DLT), Robotics (incl. RPA), Extended Reality (incl. AR &VR), Artificial Intelligence (AI), Mutualisation, and Computing (cloud & quantum). In this series, we focus on how post-trade might look in this post-digital landscape.
Delta Capita delivers data management solutions that take a fresh approach and unlock the value of data for leading financial services organisations.
Context
Delta Capita were engaged in identifying and remediating duplicate datasets, contained across multiple sources, which caused several operational issues e.g. duplicative onboarding, screening errors, and financial losses.
Approach
Delta Capita used LLMs to identify non-identical duplicate records and applied scoring methods correlated against the risk-acceptance level within the organisation.
Outcome
· Cost Optimisation: Lower storage and processing of data resulted in a minimum IT cost saving of £500,000 per yr.
· Enhanced Controls: One golden source of ‘Party’ master data was established and approved by auditors
· Capacity Creation: The AI model was built for scalability and applied across multiple reference data systems across several use cases
Context
Following several acquisitions, our client faced significant challenges in managing data across multiple organisations. Completing a full analysis on all available data was impractical due to budget and resource constraints.
Approach
Our data professionals worked with the client business owners to identify and interrogate the critical data elements. These data elements were consolidated into the cloud data platform where regulatory reports and data monetisation models were produced.
Outcome
· New Revenue Streams: Utilised the client customer base to produce data monetisation MVP
· Systems Integration: Cloud data platform integrated across the client IT infrastructure
· Critical Data Elements: 700+ new data sets onboarded and managed within Cloud-based Data Lake
Context
Delta Capita reconciled data between the legacy database and cloud database, to implement a target state architecture through well-architected data interfaces.
Approach
Delta Capita extracted available reports and built a customised solution to remediate the excel reports by comparing the critical elements of each report to identify data gaps and inconsistencies across all data types.
Outcome
· Cost Mitigation: Automated reconciliation processes saved £100,000+ in manual FTE
· Continuous Data Quality: The workflows continuously monitored the data quality in BAU to improve data migration.
· Stress Testing: The master workflow was customised and tested against several reports (one month of records)
Context
Delta Capita were engaged to support a leading global bank which faced the challenge of modernising its approach to handling Standing Settlement Instructions (SSI) data within its Global Markets division.
Approach
Delta Capita automated the processing of around 2,000 emails per month, extracting SSI instructions from attached PDF documents. This was achieved through sophisticated data capture techniques, capable of handling multiple sources and formats.
Outcome
· Cost Optimisation: Reduction in the time and resources required to process SSI updates, freeing up staff to focus on more strategic tasks.
· Enhanced Controls: Automated validation and digitisation minimized the risk of errors, ensuring that the bank remained compliant.
· Capacity Creation: New system provided the bank with the scalability needed to handle increasing volumes of SSI updates and the flexibility to adapt to changing requirements.
Context
Following several acquisitions, our client aimed to automate account opening and closing processes to improve efficiency and reduce manual effort. They also sought to decommission a costly third-party Middle Office System (MOS) to cut expenses, streamline operations, and create a more scalable solution.
Approach
Developed a tool to meet the client’s specific needs, delivering a scalable solution that included designing and implementing a backed SQL database linked the client’s central data warehouse, developing custom extensions using C#.
Outcome
· Reduction in Account Opening Time: Reduced account opening time by 80%, significantly improving turnaround times.
· Cost Reduction: >£500,000 annually by decommissioning the third-party Middle Office System (MOS) and replacing it with an automated Xceptor solution.
· Scalability: Enabled the client to scale operations more efficiently, handling 40% more account openings without increasing resource demand.
Context
Delta Capita resolved issues around manual touches that were causing trade breaks for our client’s Equities Execution Services and Prime Brokerage teams.
Approach
Delta Capita conducted a comprehensive end-to-end analysis of the client's trading profile, mapping out the entire trade execution flow. This detailed review allowed for the identification of specific breaks or bottlenecks within the flow that led to the need for manual interventions. By pinpointing these areas of inefficiency, Delta Capita was able to recommend the necessary process changes to achieve greater automation and improve accuracy in trade processing.
Outcome
· Reduction in Manual Touches: Reduction of 15,000+ manual touches per month, reducing the labour-intensive process of manually handling trade allocations and allowing employees to focus on higher-value tasks.
· Increased Automation: The percentage of automatically captured allocations increased by 20%, with an average of 45,000 equities and 50,000 synthetic allocations processed daily.
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