Innovate with cutting-edge data strategies for real financial impact.
"CDO’s | CIO’s | CTO’s | CDAO's ”
Explore 2025 Themes
The Capital Markets Data Summit 2025 attracts Chief Data Officers, Chief Data Analysts, CIOs, and senior data leaders from investment banks and asset management firms.
Dive into AI-driven analytics, cloud adoption, data governance, and regulatory compliance to stay ahead in the fast-evolving capital markets landscape.
Learn how to leverage data for competitive advantage and operational efficiency, aligning strategies with business objectives.
Connect with top decision-makers and data experts shaping the future of capital markets.
Featuring world-class speakers and expert-led sessions designed to drive innovation and growth in data strategies across global financial institutions
Exclusively attended by senior data professionals, the Capital Markets Data Summit is the premier event to engage and influence leaders in investment banking and asset management.
Our sponsors partner with us to gain targeted exposure, generate qualified leads, build valuable face-to-face connections, and ensure long-term returns on investment.
"Our speakers are distinguished and highly skilled data professionals from the capital markets, each a recognized expert in their field. With years of industry experience, they bring a wealth of knowledge and insights to the table."
Anna-Marie Tomm is an ESG data scientist at Man Group and product lead of ESG data science projects. She covers ESG data including fixed income, scores/ ratings, regulatory data, and biodiversity. She is also the host of an ESG seminar for speakers within the firm and external researchers.
Before joining Man Group in July 2022, she worked as a ESG data specialist at Bloomberg and worked at the EU Taxonomy for Sustainable Finance global data team. Anna-Marie began her career with Munich Re as part of the data science and innovation team.
She holds a BSc in Econometrics from Ludwig Maximilian’s University Munich. Additionally, she holds two MSc degrees from HULT Business School (MSc International Business & MSc in Business Analytics).
Neil Sharma is lead data science analyst at Man Group. In this role, he oversees the data science analyst team, partnering with investment research and technology teams to guide the evaluation of new datasets and data platform initiatives.
Sam joined Ambienta in 2024 as Head of Risk and Quantitative Strategies, and is based in London.
Prior to Ambienta, Sam has held a number of senior buy-side roles, most recently as the Head of Data Science and Data Engineering at Jupiter Asset Management.
Previously, he was a data scientist in Global Equities (now International Equities) at Citadel. He has also worked as a quant researcher sitting on the Quantitative Equity Products (QEP) investment desk at Schroders and as a quant analyst at Willis Towers Watson.
Sam began his career in 2010 in trading, with positions at IG Group and Ion Trading.
Sam is also the founder of Eco AI an engineering related scientific and technical start-up focusing on sustainable machine learning for ESG investing (in collaboration with UCL as part of his ongoing PhD studies).
A highly committed, driven, passionate and focused Data Management and Data Governance professional. Helping organisations drive strategic data transformation and change programs while also being able to implement and drive Data Management and Governance visions across the front, Mid and Back office for both Buy Side and Sell Side institutions.
Ability to break down organisational data silos and drive horizontal solutions while planning the removal of legacy processes and architecture. Improving existing operational procedures and processes while implementing governance frameworks to answer the ever-changing landscape of the financial sector.
Prosasty Chauduri
Chief Data Officer
WhosWho Top 100 Women in Data
An accomplished C-level executive with over 20 years of experience leading data transformation initiatives for Fortune 100 and midsize organizations. As Chief Data Officer at leading financial firms, I have proven expertise in aligning data strategy with business goals to drive innovation, boost revenue, and improve operational efficiency. Honored as a Listee of Marquis Who's Who in 2024, recognized as a Top 100 Global Data Power Woman (2020–2023), and listed as one of the top 5 sparkling AI talents lighting up the fintech universe.
Impact & Sustainability | Banking & FinTech | Board Member
Yagmur brings over 15 years of experience in data quality, data governance and audit within the banking industry. Prior to Citi, she was the data quality team lead for capital markets /trading then market risk control framework lead in Enterprise Risk Management at Bank of America. She oversaw Basel data quality efforts at Merrill Lynch and, held responsibilities in information technology audits within Morgan Stanley and Ernst Young. In her current role, Yagmur engages with data governance officers, data stewards, technology system and data owners within Citi’s many businesses; she responds to recent data trends such as BCBS 239 or CCAR in audit and contributes to Citi's global data control framework through continuous review of Citi’s processes controls related to its data management. She holds an engineering degree and is a certified internal auditor.
Arun is the former Head of Asset Allocation and Portfolio Strategy at Standard Chartered Bank and a senior portfolio manager and country Chief Investment Officer with Allianz Global Investors / Allianz Group. He brings close to twenty years of multi-asset and ESG career experience, having managed institutional assets and provided investment advisory and ESG consultancy with leading international institutions.
Ulf Herbig is Director Data & Innovation and member of the Executive Leadership Team at Kneip, part of Clearstream and Deutsche Börse Group. He has over 15 years of experience in the Financial Services and Asset Management industry. Before joining Kneip he worked for Hauck & Aufhäuser Asset Management and Hauck & Aufhäuser Private Banquiers. Now he is leading Data & Innovation initiatives at Kneip. Ulf represents Kneip in fund associations at national and European level , where he has contributed and chaired various regulatory working groups (eg. PRIIPs, Mifid II, SFDR), defining best practices and industry data standards, enabling a common view on compliance matters as well as effective ways of implementation.
#Climatechange #Biodiversity #ISR #ESG #Entrepreneurship #Impact #Finance
An experienced global data protection and privacy professional who has directed, advised, and led complex programmes of change across multiple industry sectors (banking, insurance, government, military, aeronautical, healthcare, pharmaceutical, petrochemical, and automotive) to implement and embed best practice data protection to meet the needs of the business.
An experienced global data protection and privacy professional who has directed, advised, and led complex programmes of change across multiple industry sectors (banking, insurance, government, military, aeronautical, healthcare, pharmaceutical, petrochemical, and automotive) to implement and embed best practice data protection to meet the needs of the business.
Providing Compliance Advisory support on regulatory and compliance matters to Global Investment Banking Operations and Front Line Business to ensure compliance with regulatory obligations and adherence to conduct, policies and standards.
An established Data and Digital Strategy Executive with +20 years of experience in Financial Services across multiple functions; Retail, Commercial, Wealth Management and Securities Services. Built teams from the ground for both BAU and transformation roles in Data & Analytics space. Coming from a hands-on practice both in IT & Business and have a solid delivery record for complex stakeholder landscape, product metrics and regulatory exposure.
Leading Investment Solutions and Services Division in Data Strategy, Architecture and Modelling - to revamp legacy to a modern cloud-based stack including Finbourne Lusid & Luminesce, Snowflake, dbt, data vault.
A cross-departmental role, influencing and educating key stakeholders in the business and technology, as well as leading an experienced global team of architects and modellers
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