Mathematical Models
for the Finance Industry

simply closer to the market


Our trusted affiliates with whom we work together


 

MathFinance acts on a global scale together with its business partners. We believe in delivering the best solutions available in the market. Through our carefully chosen network of professionals we are able to maintain this high standard.

Our affiliate partners provides services that are complementary to our own product offering. At MathFinance we believe in offering a full scale of product and service offerings which also includes offerings from other service providers than can be bundled together either individually or as a package.

 

ARPM & MathFinance

 

MathFinance believes that a continuous permanent education tool is key to being up-to-date with the recent developments in quantitative finance. ARPM is our key affiliate in the field of permanent education and  provides this information to the entire capital market base which helps our clients keep abreast of the most recent developments in the industry.

 

BCCI & MathFinance

 

BCCI is a strategic partner for MathFinance and both companies have collaborated in the past to offer integrated product solutions. The data offering of BCCI fits seamlessly with the MathFinance FX Volatility Surface (MFVal) library and hence we can offer including data feeds from different market providers.  MFVal is the proprietary volatility surface library developed by our in-house quants.

Affiliates - MathFinance
Affiliates - MathFinance

About ARPM

  1. ARPM is an education firm for modern quantitative finance founded by Attilio Meucci in 2010. Our strength is our expertise with real-world probability (“P”) , which is the mathematical foundation of data science, quantitative risk management, and quantitative portfolio management.

    ARPM’s Mission is to set the standards for and disseminate knowledge of Advanced Risk Management and Advanced Portfolio Management, across the financial industry: asset management, banking, and insurance.

    To achieve our mission:

    1. We maintain the ARPM Lab: an e-platform to learn and practice modern quantitative finance.
    2. We provide educational programs, built on the ARPM Lab,
    3. We administer the ARPM Certificate to vet proficiency in advanced analytics for quantitative finance.

    ARPM’s mission is also supervised by an Advisory Board of world-renowned practitioners and academics.

     

About BCCI

Software made in Germany

BCC Group is a German Software Development Company with focus on software development of highly reliable real-time messaging platforms based on Solace Middleware for all industry sectors. BCC Groups’s core competence is the development of SW Solutions based on financial market data feeds (Bloomberg, Thomson Reuters, Morningstar, ActivFinancial, ICE, FactSet etc.). This includes resilient, high-performance Feed Handlers and Last-Value-Caches, enforced Entitlements as well as full Excel and HTML5 Integration. 

As long time Solace Systems API Developers we deliver the first Entitlement enforcing System for Solace Appliances, providing content based permission checks for all Messages, called MECS – Multivendor Entitlement Control Service. BCC Group also developed world’s first Bloomberg Feed Handler with full EMRS control connected to Solace Devices for Royal Bank of Canada CM. The Solution is certified by Bloomberg.

BCC Group’s TREP-RT Adapter is world’s first Thomson Reuters data feed handler to provide openDACS entitled data into Solace Appliances, also running at Royal Bank of Canada CM globally. As first development and distribution partner of Solace Systems in Europe in 2009 we started to develop FMDP for the high speed distribution of bank owned, permission controlled Financial Market Data with certified connectors to major market data vendors. The Product spectrum grew with the demand of customers so the Product was renamed to the “ONE Solution” including the ONE Platform (former FMDP), the ONE Excel Add-In, the ONE Terminal Designer (powered by XINFINT) and the ONE API.