InfoQ Homepage Financial Applications Content on InfoQ
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Real-Time Fraud Detection with Graphs
Jim Webber talks about several kinds of fraud common in financial services and how each decomposes into a straightforward graph use-case. He explores them using Neo4j and Cypher query language.
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Financial Modeling with Apache Spark: Calculating Value at Risk
Sandy Ryza aims to give a feel for what it is like to approach financial modeling with modern big data tools, using the Monte Carlo method for a a basic VaR calculation with Spark.
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Functional Patterns in Domain Driven Design applied to Financial Models
Debasish Ghosh demonstrates how DDD principles can be implemented more effectively using functional programming principles, building a ubiquitous language with pure functional abstractions.
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Caml Trading - Experiences with OCaml on Wall Street
Jane Street runs a large trading business on software written almost entirely in OCaml, a statically typed functional language. Yaron Minsky shows the reasons for choosing Ocaml and how it worked out.
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Finance's Forgotten Treasure: an Introduction to CQRS & Axon
Allard Buijze introduces CQRS and related concepts along with case studies showing how it is used in finance, gaming and healthcare to meet the demands of modern web-based applications.
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Big Data in Capital Markets
The authors present design patterns and use cases of capital market firms that are incorporating big data technologies into their credit risk analysis, price discovery or sentiment analysis software.
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Consumerization - What Does It Mean to a Developer?
Chris Swan discusses user experience for banking and financial mobile applications, architectures, and the frameworks and containers that ease the way to secure deployment into production.
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API Conf Fireside Chat: Stephane Dubois, CEO and Founder at Xignite
Stephane Dubois shares insight in Xignite’s road building a business model providing APIs for accessing financial data.
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Integrating SQL & NoSQL & NewSQL & Realtime Data Intelligence for the Financial Industry
Charles Cai, Ashwani Roy discuss a robust, cost effective, hypothetical solution to address extreme challenges in financial institutions, from decision making support to pricing and risk management.
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In-Memory Message & Trade Repositories
John Davies walks through a reference implementation of a in-memory database meant to combine dozens of different legacy databases developed by banks over time.
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GPUs in Finance
Andrew Sheppard overviews the driving forces behind GPU’s adoption by the financial industry, and explains the use of the Monte Carlo technique on GPUs.
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Why You Won't Hear the Word "Cloud" on Wall Street
Ari Zilka informs on the cloud tools and process changes needed to take place for the financial and banking institutions to become interested in the technologies cloud computing has to offer.