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

Peter Serenita Moves on from HSBC to Join Scotiabank as US Chief Data Officer

Subscribe to our newsletter

After an eight-year career as a senior data management executive at HSBC, Peter Serenita has moved on to join Toronto headquartered Scotiabank as US chief data officer. He will continue to be based in the New York City area where before joining HSBC he spent 17 years in technology and data management roles at JP Morgan and later JPMorganChase.

Serenita joined HSBC as global head of data management – Global Banking and Markets Client Onboarding and Account Maintenance in July 2009. In this role, he implemented a customer data system integrated with the bank’s customer onboarding, trading account opening process and trading documentation system. The implementation supported Global Banking & Markets’ customer programme and HSBC’s compliance with Dodd-Frank requirements for Legal Entity Identifiers (LEIs) to identify derivatives.

Serenita moved on to become chief data officer of Global Banking and Markets at HSBC in August 2012, a position he held for eight months before moving on in March 2013 to become group chief data officer, his final post before leaving the bank to join Scotiabank.

Among his achievements as group chief data officer at HSBC, Serenita implemented a global data organisation covering all businesses and functions across 74 locations. He established data and analytics as a board level priority and defined HSBC data strategy and execution of the strategy to deliver business value. He also defined and delivered data management processes and tools to improve data quality across the organisation. On the regulatory front Serenita was responsible for the bank’s successful BCBS 239 compliance programme.

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

S&P Builds Private Markets-Trained AI Document Search Tool for iLevel Platform

S&P Global Market Intelligence has expanded its private markets data and technology platform iLevel with the addition of AI Document Search, a module that is built on large language models (LLMs) trained specifically to aid participants in the fast-growing alternative assets sector. The new tool enables general partners (GPs), who manage funds on behalf of...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

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,...