26:58
Creating Customer-Centric Products Using Big Data
Kriti Sharma talks about how Barclays is solving some of the toughest big data challenges in financial services using scalable, open source technology.
45:25
Fighting the #fintech Wave with DevOps
Benjamin Wootton discusses doing DevOps in banking and financial institutions, providing advice on performing a DevOps transformation in such an environment.
48:17
Using Pony for Fintech
Sylvan Clebsch talks about using Pony for fintech to build high-performance tools. Pony is a new actor-model statically typed language, compiled AOT, with a GC and a data-race free type system.
26:35
Driving Customer Engagement & Acquisition in the Digital Era
Rana Pereis explores case studies of how banks are using APIs to evolve new digital offerings and business models that help drive customer engagement and acquisition.
42:23
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.
42:33
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.
41:45
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.
52:40
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.
54:40
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.
45:09
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.
51:02
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.
23:08
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.
