Building fixed income portfolios is a painful process for all involved as fragmented data makes it difficult for portfolio managers and advisors to compile meaningful advice for each and every client. Even the best attempts at creating individualised portfolios for clients are often stumped by the limited tools available and yield sub-optimalresults.BondIT was founded in 2012 to tackle this problem. Their team expertise spans across fixed income, data science, and machine learning. The team combines market experience from fixed income experts with technical know-how from researchers and developers who have come together to find solutions for the bond market. Now, using BondIT's sanitized data, powerful machine-learning algorithms, and an intuitive user interface, they deliver the world of fixed income on a silver platter all in a matter of seconds.

FinTech

AI/ML

Information Technology

bondIT

Etai Ravid

Rotem Halfon

Kerstin Voelkel

Rija Zaidy

Andrew Merrill

David Curtis

Eyal Kenig

Dan Taylor

Marianna Matveichuk Abramovich

Shmuel Korenblit

Nimrod Bar-On

Nir Milo

Shahar Balaban

The Software Development team at bondIT is responsible for designing, developing, and maintaining the software solutions that enable efficient and precise construction of fixed-income portfolios. This includes building and integrating robust data pipelines, leveraging machine learning algorithms, ensuring seamless front-end user experiences with Angular frameworks, and maintaining back-end services. They work collaboratively to ensure the platform is scalable, secure, and user-friendly, ultimately aiming to simplify and optimize the portfolio management process for clients.

Software Development

Leadership Team

Software Development

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Leadership Team