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

AxiomSL Integrates ESG and Financial Reference Data to Automate Sustainability Reporting

Subscribe to our newsletter

AxiomSL has released an Environmental, Social and Governance (ESG) solution designed to automate compliance with sustainability and social impact reporting requirements being developed by the European Banking Authority (EBA), the European Securities and Markets Authority (ESMA) and other regulatory bodies.

The solution standardises the process of integrating ESG data attributes, such as counterparty exposures, climate risk reference data and social impact data, with existing financial reference data in a common data dictionary to streamline ESG reporting for financial institutions.

It does this by ingesting proprietary, bank reported and third-party ESG data from all major data vendors and reducing the information down to granular data attributes that can be tagged with reference data required for regulatory disclosure. By integrating individual ESG attributes with existing financial data in a common data dictionary, the solution makes it possible to automate ESG risk disclosures using a methodology that ensures both accuracy and consistency.

In addition to fulfilling regulators’ disclosure requirements, a consistent data flow makes it possible for institutions to continually benchmark their progress against stated sustainability and social impact improvement goals.

“Creating a sustainable future is about more than just reducing emissions and committing to global initiatives. Financial institutions need to be able to accurately measure and report on their exposure to ESG risks to track progress and drive improvement,” says Alex Tsigutkin, founder and CEO at AxiomSL. “By integrating essential climate risk and social impact data with our existing financial data in a common data dictionary, we are making it possible for institutions to automatically capture and report ESG exposures in much the same way as they have been reporting traditional financial risks.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Hearing from the Experts: AI Governance Best Practices

The rapid spread of artificial intelligence in the financial industry presents data teams with novel challenges. AI’s ability to harvest and utilize vast amounts of data has raised concerns about the privacy and security of sensitive proprietary data and the ethical and legal use of external information. Robust data governance frameworks provide the guardrails needed...

BLOG

Tracing Data’s Transformation is Key to Compliance and AI Effectiveness: Webinar Preview

Transparency and accuracy are characteristics of data that are equally important for financial institutions’ compliance processes and the rollout of artificial intelligence applications. Without those qualities, regulators will have little trust in the disclosures of firms’ compliance teams and any AI technology will be prone to misleading and potentially damaging outputs. To ensure these two...

EVENT

AI in Capital Markets Summit London

Now in its 2nd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...