Modelity Technologies

HQ Address

76 Yigal Alon Street, Tel Aviv, 6706701, Israel

Website Address

www.modelity.com

Connect with Modelity Technologies
Business introduction

Established in 2000, Modelity Technologies is a privately held company, focused on providing banks, insurance companies and other financial institutions with a flexible platform for financial modeling and portfolio analytics

Modelity is dedicated to providing financial institutions with a proven, state-of-the-art financial modeling platform and products, to remain competitive and improve service levels.

Modelity Technologies product offering consists of fully configurable, best of breed financial model libraries and a platform for creating and delivering financial analytic content. Modelity’s offering consists of the following products: Modelity Structures and Modelity/Advisor.

Modelity Technologies Solutions

Modelity Advisor

It is designed for face-to-face consultancy, facilitating the provision of personalized advice, accounting for client risk tolerance, financial constraints and expectations. Its processes can identify sales opportunities and ensure demonstrable compliance with regulatory requirements. Modelity/Advisor analyzes portfolio’s risk and performance, based upon industry standard or customized models. Modelity/Advisor is an open box solution, available......

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Modelity Structures

A quicker sales process Elimination of errors Shorter time to market for new products Avoidance of time-consuming manual work The sales module is focused on structured products transparency and explanation, enhancing the seller’s relationship with the end client. Computed outputs such as actual historical performance, Stress Tests, VaR and Monte-Carlo projections are presented in......

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Modelity Unicost

The challenge At the beginning of 2019, the first MiFID II Ex-Post Costs & Charges report is expected to be sent to clients. This report must be provided on a personalized basis, at least once a year, and should consider all costs and charges involved across the supply chain. Some of the data challenges......

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