Big data & analytics
KDB & Q | Market Data Analysts, KDB Developers, Market Data Engineers - these are the technical capabilities and people types we are locating for project-led opportunities in the global markets.
Navigation: FinTech Expertise > Big Data & Analytics
Our Analysts often have a physics or computer science background, although we do also consider people with Masters or PHD’s, especially within the fields of mathematics or economics - given the assistance a highly mathematical mindset can provide when problem-solving.
By 2025, it’s estimated that 463 exabytes of data will be created each day globally. Putting that into perspective, in 1986 the World’s complete technological capacity to store information was only 2.6 compressed exabytes - and it was only in 2004 that global internet traffic reached and overtook 1 exabyte per month.
When we look at this rapidly advancing growth in data production, it’s no surprise that the capabilities to analyse and translate this information are in such high demand. Within the financial markets, data-led technologies are leading the ‘big data’ movement; used by organisations to discover analytical trends, gain predictive insights and set future strategies.
However, the analytical skills required by Financial Institutions are not industry exclusive. Whilst Caspian One predominantly works with Investment Banks and global Hedge Funds, there is also growing demand from Health Services, Formula One, NASA… ultimately all and any organisation that needs to analyse high volumes of data quickly.
What we are witnessing is a continued high demand for market analytics and data analyst capabilities, and we expect that within the next 6-12 months the future of this market will become clearer and buyers obtain a better picture of what they’re looking for next.
Analytics data expertise:
KDB
Q
Time Series
Market Data
Business Domain Experience:
Front to back office requirements
Cross asset
Risk management
Reg reporting
Operations / settlements
Retail investment
Client services portal
Client Type Experience:
Investment Banks
Hedge Funds
Prop Funds
Vendors
FinTechs
Start-ups
People Types:
Architect - Designed, measured, and executed complex marketing strategies for the world’s largest technology companies and their channel partners. Creation of a fully automated system that collected data from a KDB database and loaded it to a KDB+ database which involved working with both K and Q.
Market Data Engineer - Experienced in analytics to helping calibrate spreads for pricing systems, also developed a small scale analysis system.
KDB Developer - Created and maintained a KDB+ data-warehouse of various sources of order data. Experience in scripting data downloading jobs, importing data for various data sources and scheduling daily download job.
Market Data Engineer - Developing and managing the global rates and credit KDB+ plant. Wrote a deploy tool to distribute a global code-base and perform additional post release scripting which is now used as the primary bank-wide KDB+ deployment tool.