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

Upcoming Webinar: Building a Semantic Layer for Your Enterprise Data Estate

Date: 8 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics...

BLOG

Robust Data Management Still the Silver Bullet for AI Challenges

As the maturity of artificial intelligence applications evolves, financial institutions are finding that the solution to the challenges associated with the technology of data quality and trust can be found in data management. Guaranteeing good outcomes from their models requires that organisations feed them good data, and the only way to ensure that is through...

EVENT

AI in Capital Markets Summit London

Now in its 3rd 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

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...