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Smart data analytics from JP Morgan-backed fintech

Trading activity generates huge quantities of raw transaction and pricing data and banks and funds are all looking to extract the value from this, largely untapped, data asset.

The ability to refine this raw data and distil it into meaningful ‘Smart Data’, where value can be extracted in the form of actionable insights can give them a major competitive advantage.

Enter Mosaic Smart Data, an amazing data analytics company, backed and used by JP Morgan to optimise the productivity and profitability of its global fixed income sales and trading division.

Matt Hodgeson and his team at Mosaic have done an extraordinary job building technology to allow financial institutions to unite all of their fixed income, currencies and commodities (FICC) trading data into one powerful, real time viewpoint.

It means each function – from back office and compliance to traders, sales desks and managers – can see exactly what is going on in the FICC business in real time for the first time and at any level of detail, from the macro to the atomic

Mosaic was the first graduate of ‘In-Residence’, a J.P. Morgan programme created last year for technology start-ups looking to commercialise ideas that solve real-world challenges in financial services.

Chatsworth worked with Mosaic from the start, articulating their story, defining their brand and connecting them to their target audience of potential users and influencers.

Mosaic is now gathering real pace and has been voted one of the Fintech Top 50 in the influential rankings of hot start-ups.


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Banks and leading investors back Mosaic Smart Data

Mosaic Smart Data has completed an USD 9 million investment round to support its rapid product development and global expansion. The round is co-led by CommerzVentures and Octopus Ventures and includes J.P. Morgan – an existing investor and client.

Daily trading activity in the capital markets generates vast quantities of raw transaction and pricing data. Institutions are increasingly looking to extract the value from this, largely untapped, data asset. Annual spending on data analytics and market data has now grown to over USD 30.5 billion a year.1 Being able to refine this raw data and distil it into meaningful ‘Smart Data’, where value can be extracted in the form of actionable insights, is a significant challenge that all market participants face, but success offers a proven and compelling competitive advantage for both buy-side and sell-side.

Mosaic Smart Data’s solution cleanses, normalizes and enriches this raw data and provides a consolidated real-time view and analysis across the flows of market activity. Mosaic’s advanced suite of machine learning models identify and alert the user to opportunities and threats, generating actionable insights specific to user job functions from sales and trading to management and compliance.

The firm provides analytics technology suitable for investment banks, buy-side firms, custodians, ECN’s, exchanges and regulators.

Heiko Schwender, Principal at CommerzVentures, said: “Data analytics is becoming an integral part of every industry and the capital markets are no different. We will soon be at a position where it is a prerequisite for performance in the markets. This presents a huge opportunity for Mosaic Smart Data, which has built a platform which sets the gold standard for capital markets analytics. We are thrilled to be part of Mosaic Smart Data’s journey.”

Warren Rabin, Co-Head of Global Macro Sales and Marketing at J.P. Morgan, said: “Today’s financial markets are awash in data at a scale never seen before, but what really drives performance is being able to extract truly actionable insights from that data in real-time. Tools like this that quickly make sense of vast data sets are changing the way our teams respond and operate and are going to become a differentiating factor for banks as they look to add value in their client discussions.”

Zihao Xu, Future of Money lead & early stage investor at Octopus Ventures, said: “One of the most exciting applications of artificial intelligence is combining it with human intelligence to create something which is more than the sum of its parts. Mosaic Smart Data’s machine learning models surface data insights that even the best human quant may not spot, delivering them to staff in a way which lets them act immediately. That is a powerful combination to drive productivity and performance across FICC markets globally.”

Matthew Hodgson, CEO and Founder of Mosaic Smart Data, said: “Mosaic Smart Data’s mission is to empower financial market professionals with usable, data-driven tools to ask the questions they need answered and to receive those results in a language they can understand. We want them to feel as though they have the firm’s best quant sitting at their desk 24/7, able to answer any question they have almost instantly. That is the power of smart data analytics.

“This is a mission which is driving incredible interest among the world’s leading financial institutions. With the support of these investors, we’ll be able to take full advantage of the opportunity, accelerating deployment of the Mosaic Smart Data platform for clients and ensuring we keep the platform at the cutting edge of data analytics R&D and smart data technology.”

Big data overdrive hurting bank profits

With more and more data available, making sense of vast amounts of content efficiently can boost profits by at least five percent a year.

Sell-side banks operating in the FICC markets are producing more and more data, and it is widely acknowledged that there is tremendous minefield of value often hidden within this data that can be of great use to an institution’s trading, regulatory, audit and compliance functions.

But for many institutions, aggregating and gauging this data to make sense of key trends accurately remains a significant challenge. So far, it is proving to be timely, costly and hurting banks’ profits.

The 2016 global study released by Qlik and Wall Street Journal (WSJ) surveying financial service companies about the usage of data and analytics revealed 57% found data information too complex to process, analyse and disseminate in a timely fashion. Yet nearly 80% of respondents believed that leveraging insights from data could boost revenues by at least five per cent annually.

As Duncan Ash, a Senior Director of Global Financial Services at Qlik, says: “Analytics is still the most prevalent in head-office functions, and the people in the field that need it the most are getting it the least.” He added that “firms struggle with the volume and complexity of data, and with the basics of communications and data management.”

This potential rewards on offer has led to a rise of specialist technology vendors that scrutinise and standardise data and do the hard work for their clients. One such as example is Mosaic’s MSX platform, which aggregates multiple sources of transaction data into a singular resource. This enables banks to meet regulatory requirements by building a more comprehensive view of client’s trading activity while creating better audit trails for regulators.

Steven Hatzakis, a financial services industry consultant and a registered Commodity Trading Advisor, said in a column on Finance Magnates that as analytic tools have evolved, so have visual dashboards. “These include not just numbers but adding colors or other variables that indicate changes as reporting and related gauges become dynamic. This is a common trait seen within trading platforms in capital markets and it is used in order to make it easier for technical data to be comprehended quickly.”

As Diane Castelino of Mosaic Smart Data says, “The next and most advanced stage is breaking into the field of predictive analytics and machine learning, where the ability to predict future client trading behaviour based on historical patterns sets institutions streets ahead of their peers.

“In what has become a challenging trading environment for all, the real winners in the race to harness and utilise big data will be those institutions that partner with the technology specialists that deliver expertise and innovation on a cost effective, modular basis and educate staff to use the technology effectively.

Diane’s whitepaper on big data and going beyond the hype can be read here.