About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

GlobeOp Names Glickman Global Head of Risk Services

Subscribe to our newsletter

Originally appeared in MiFID Monitor

GlobeOp Financial Services has appointed risk management veteran Tony Glickman as global head of risk services and member of its operating committee. He will report to Vernon Barback, GlobeOp president and chief operating officer, and will be based in the company’s New York City office.

According to Barback, Glickman was chosen for the role because of his in-depth understanding of clients’ requirements for risk reporting services. “The current turbulent market underlines the importance of risk measurement, analytics and reporting to hedge funds and investors alike. This presents GlobeOp with significant opportunities,” he says.

Glickman began his career as a proprietary trader at Bankers Trust and at Chemical Bank. He also served as head of proprietary trading, and later as treasurer and head of portfolio risk management, during eight years with the Canadian Imperial Bank of Commerce (CIBC). Prior to and following CIBC, he launched and led funds specialising in bond arbitrage, volatility arbitrage and global macro strategies. In addition, he has served as a consultant to asset managers, public pension funds, central bankers and regulators on strategic risk management issues.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Executing the Migration to Cloud to Enable Scalability and Innovation

Date: 22 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Cloud-based services and processing have become essential to financial institutions as their data management demands have become more complex and expansive. Thousands of organisations have made the jump from their limited on-premises tech stacks to the near-infinite scalability opportunities...

BLOG

12 Leading Vendors Operationalising AI & ML with Robust Data Pipelines

The transition of artificial intelligence and machine learning (ML) models from experimental sandboxes to production environments remains a persistent operational friction point. While quantitative researchers and data scientists can often demonstrate alpha in isolated backtesting environments, the institutionalisation of these models requires a level of data pipeline robustness, latency control and regulatory auditability that research...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

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...