Finding Signal in the Noise: the Enterprise Data Offering at Bloomberg
The ability to analyse markets utilizing clean, structured and unstructured, high-quality data is imperative for firms. Hear from our leading subject matter experts on the latest themes and trends and how our solutions have been built, what differentiates us from the market and why that matters. They'll be talking through our newest releases, spanning every asset class including Equities, Macro, Credit, Fixed Income, Commodities, and what this next year holds. We'll review our best-in-class point in time offering, machine-readable news and data integration tools, to allow any research workflow time to focus on what matters most.
Speakers
Nora Assad-Russo
Data Sales Specialist - Research and Quantitative Finance
Bloomberg
Nora Assad-Russo works as a research and data science specialist within Bloomberg's Enterprise Data division. She joined the firm two years ago and has 10+ years in the industry, previously working on the Equity trading floor in Morgan Stanley in their Non-Market Risk and Algorithmic Trading Risk teams. She has an MSc in Data Science, another in International Relations and a deeply curious mind.
Jerome Barkate, CFA
Quant and Data Scientist
Bloomberg
Jerome Barkate, CFA is a Quant and Data Scientist at Bloomberg. His team showcases the possibilities of Bloomberg Enterprise Data to Clients. Before joining Bloomberg in 2023, Jerome spent 18 years in Asset Management (Amundi, Nomura, Unigestion) in senior roles as lead portfolio manager and quant, trading multiple asset classes. He holds Masters of Science in Statistics and Finance from ISAE Supaero and Paul Sabatier University. He is a CFA Charterholder since 2011 and holds multiple AI/ML certificates.
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