InfoQ Homepage Financial Applications Content on InfoQ
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Panel: Challenges & Opportunities of the Modern Financial Institutions
Lucas Cavalcanti, Dio Rettori, and Camilla Crispim discuss the challenges and opportunities of modern financial institutions.
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Rampant Pragmatism: Growth and Change at Starling Bank
Daniel Osborne and Martin Dow discuss relational theory, functional relational programming and self-contained systems, explaining their approach to complexity.
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Evolution of Financial Exchange Architectures
Martin Thompson looks at the evolution of financial exchanges and explores what is considered state of the art today.
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Policing the Capital Markets with ML
Cliff Click talks about SCORE, a solution for doing Trade Surveillance using H2O, Machine Learning, and a whole lot of domain expertise and data munging.
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Counterfactual Evaluation of Machine Learning Models
Michael Manapat discusses how Stripe evaluates and trains their machine learning models to fight fraud.
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AI in Finance: from Hype to Marketing and Cybersec Applications
Natalino Busa illustrates a number of use cases of using AI and machine learning techniques in finance, such as transaction fraud prevention and credit authorization.
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Digital Assets: Lessons in Securing What’s Next
Rob Witoff recaps on the past several years at the largest cryptocurrency company in the world and explores technical infrastructure and security lessons learned that apply to what’s next in Fintech.
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Functional / Microservices in Real-Time Financials
Vitor Olivier presents how Nubank has built the system of record based on functional programming principles, the challenges they faced when taking it to scale and the benefits of their approach.
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Elixir and Money
Tomasz Kowal discusses using Elixir for a financial application, handling rounding errors, designing APIs that gracefully handle network and hardware failures, and crashing the app during design.
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Financial Grade OAuth and OpenID Connect
Nat Sakimura discusses using OAuth and OpenID for securing financial transaction services.
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Dynamically Re-configurable Event-driven Systems
Danny Goovaerts combines event-driven business modeling and collocation of data and processing to enable financial institutions to design, develop, test, deploy and change services fast.
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Coding for High Frequency Trading
Richard Croucher talks about the application environments, design patterns and programming languages commonly deployed across Financial Services including Investment Banks and Hedge Funds.
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