Managing Geopolitical Risk in Excel
How prepared is your company or portfolio for geopolitical shocks ? The team at Bloomberg will be showing how to manage geopolitical risk through the Bloomberg Terminal, and in particular introducing our newest dataset, Seerist Risk Intelligence.
Financial professionals increasingly rely on fragmented data and manual work to assess fast-moving global events and manage the risks to their firm.
Our experts will be working across a variety of workflows showing how to integrate traditional data sets with those from Seerist, including critical global events, emerging risk, asset risk, supply chain, and trend analysis, all helping you to stay informed to make critical business decisions.
Speakers

Sarah Mollaian
Enterprise Data Sales
Bloomberg
Sarah joined Bloomberg's in 2019, and in 2020 she transitioned into the Sales department, where she built strong relationships with key stakeholders across the UK and US buy-side. She recently joined the Enterprise Data division, where she now covers clients across the UK and Ireland

Vincent Tong
Global Product Manager for Desktop Data Solution
Bloomberg
Vincent Tong is an API Product Manager at Bloomberg with 14 years of experience in the markets and a CFA Charterholder since 2019. He works closely with market participants and internal partners to build the right products to solve our customers' problems.

Reika Nakagawa
Enterprise Data Sales
Bloomberg
Reika Nakagawa is a Bloomberg Enterprise Data Sales Representative based in New York, supporting U.S. firms in addressing data challenges and modernizing infrastructure. She has been with Bloomberg for 15 years and previously managed a team overseeing the firm's strategic engagements with sell-side institutions

Lera Shumaylova
Enterprise Data Product Manager for Emerging Risks
Bloomberg
Lera Shumaylova focuses on data products that capture emerging risks. She is developing company-level geopolitical and physical climate risk datasets and the location-level Physical Risk Geolocation Data Service, working with engineering, research, and clients to deliver production-ready data.