FINOS Events

Join FINOS for our next FINOS Open Source in Finance Meetup in NYC, hosted by our FINOS Ambassadors, Sam Moorhouse & Mike Minett of turntabl.io. 

We welcome you to join us for a night of banter (FINOS, tech and life), curry and beer (yes, there is a British connection at play here). All are welcome and we look forward to sharing and learning more about everyone’s experiences and journeys to date.

*To join, you only need an interest in open source and finance.

Seating is limited - we will make a waitlist when registrations are full.

Sponsored by turntabl.io

As part of your virtual SupTech Week experience this year, take part in the API Innovation Hackathon from 2-8 December, supported by FINOS,  AfricaNenda and NVIDIA and brought to you by Cambridge SupTech Lab!

Join us for an exclusive webinar on December 11th at 11am ET / 4pm GMT hosted by FINOS member, JUXT.

Accelerated As-Of Reporting Without The Hassle: Modern Databases, Bitemporal Data, and XTDB

Tech leaders in banking and financial services know that generating "as-of" reports can be a headache. From end-of-day client reporting and real-time post-trade systems to middle-office platforms for structured products — delayed, fragmented data is more than a regulatory risk; it can cost billions in lost revenue.

The good news is that as-of-reporting is a solved problem with bitemporal data systems. The catch? Bitemporal systems are complex to implement and tough to maintain.

This webinar will explore how open source database technology can help financial services build robust, cost-effective bitemporal systems in a cloud-native environment. We’ll cover the basics, review the latest advances, and highlight the pitfalls of different approaches.

Speaker: 

Jeremy Taylor, Head of Product, JUXT 

Jeremy is the Head of Product at JUXT where he is responsible for XTDB, an open source bitemporal SQL database. JUXT is a Grid Dynamics Company based in the UK, specializing in providing software engineering services for financial systems.

The Regulations Challenge invites participants to push the boundaries of Large Language Models (LLMs) in understanding, interpreting, and applying regulatory knowledge within the finance industry. Through nine tasks, participants will explore key topics, such as regulatory complexity, ethical considerations, domain-specific terminology, industry standards, and interpretability. This challenge is open to students, researchers, and practitioners passionate about finance and LLMs. Participants are encouraged to develop solutions that enhance the ability of LLMs to address the complexities of financial regulations and industry standards.