CompatibL

We are proud to announce that TradeEntry, CompatibL’s latest AI solution for what-if analysis designed to assist analysts in entering complex trades from email, has won Best Use of Machine Learning/AI at Risk Markets Technology Awards 2025. What-if analysis plays a crucial role in risk management by assessing the potential impact of a trade on both market and credit risk, as well as on trading limits. Before a trade is executed, its details must be captured in the bank’s risk systems so it can be evaluated within the context of the existing portfolio. Historically, this task relied on analysts manually interpreting free-form trade descriptions—often from email chains or relayed verbally—and entering the data into structured formats. CompatibL's AI solution was designed to automate this process, utilizing large language models, which excel at interpreting unstructured data, with workflows that replicate human strategies for ensuring reliability. Follow the link to learn more: https://lnkd.in/gfdJGtuB #quantitativefinance #AI #ML #LLM #quant #trading #finance #artificialintelligence

We are proud to announce that CompatibL has gained the ISO 27001 certification, demonstrating our unwavering commitment to data privacy and security. Learn more: https://lnkd.in/dXTwurMj #cybersecurity #ISO27001 #ISMS #DataSecurity #InformationSecurity #Compliance #RiskManagement

The goal is not to be 100% accurate, which is not possible but for AI to be as accurate as humans! AI and LLMs are invaluable in finance for dealing with the wealth of natural language format documents that banks have. This year, CompatibL introduced an open-source package called TradeEntry AI to help deal with unformatted data for what-if analysis. The accuracy of this AI-based approach is expected to be similar to the accuracy of humans. Learn more 👉 http://spr.ly/6040QXF4Y #QuantMinds #quantfinance #LLMs #AI #advancedAI

We are proud to announce our win in the Best Use of Machine Learning/AI category at Risk.net Markets Technology Awards 2025 for TradeEntry, CompatibL’s AI solution to assist with entering complex trades for what-if analysis. TradeEntry tackles a critical, time-sensitive pain point in financial risk management – manual trade entry. This process is not only tedious but also error-prone, with potentially serious consequences. TradeEntry shines at handling structured notes and other complex trades. Our AI’s ability to capture these complexities accurately is enhanced by adopting a copy-and-paste approach inspired by manual entry. By marking up data fields and breaking down trade descriptions into manageable chunks, CompatibL’s workflow ensures every attribute is processed correctly. Learn more: https://lnkd.in/dD62HJDd #quantitativefinance #riskmanagement #AI #ML #LLM #quant #trading #finance #artificialintelligence

Happy Thanksgiving from all of us at CompatibL! We are grateful for the trust and support of our valued clients, partners, and team. Wishing you a day filled with joy, gratitude, and special moments with loved ones.

Andrei Lyashenko, Fabio Mercurio and Alexander Sokol are presenting using AE to capture the historical dependence structure of interest rates and introduce risk-neutral forward rate dynamics that are consistent with a given AE curve manifold 💡 #QuantMinds #quantfinance #interestrates #AE

Join us on November 19 at QuantMinds International 2024 for two insightful sessions led by CompatibL’s Executive Chairman and Head of Quant Research Alexander Sokol: ✔️ Presentation: What-if trade entry from email using LLMs ⏱  Time: 9:30–10:00 The presentation delves into the key techniques involved in building an LLM-based trade entry from natural language trade description contained in unstructured email messages or threads. ✔️ Workshop: Practical techniques for building reliable LLM-based workflows ⏱ Time: 11:30–13:00 The workshop focuses on practical techniques for building reliable and effective LLM-based workflows for extracting accurate information from natural language documents or unstructured data.   Register: https://lnkd.in/dhs8PQp   #quantitativefinance #AI #ML #LLM #quant #trading #finance #artificialintelligence

We tested the end-to-end batch calculation with fourth generation (4th Gen) AMD EPYC processors for a typical portfolio of trades, using CompatibL Platform deployed in Amazon Web Services (AWS) with Kubernetes. The hypothesis was that compute-intensive calculations benefit from the all-physical cores supplied in the 4th Gen AMD EPYC CPUs, and the AVX-512 instructions perform well without any degradation in clock speed. This case study highlights the findings as well as insights gained from testing the CompatibL Platform on AMD hardware. Read the case study: https://lnkd.in/dArfWJKN #riskmanagement #trading #quant #quantitativefinance #CPU #benchmark

Join us online or in person for the Second QuantMinds-CompatibL TradeEntry Hackathon 2024 between 9am and 4pm London time on Mon, Nov 18 to explore how LLMs can assist with trade entry for what-if analysis and win a free QuantMinds 2025 pass. Non-coding participants welcome - use the online playground at https://lnkd.in/eJiZct-9. Register by email at support@tradeentry.ai or online at https://lnkd.in/eUgQuvH4. Information and tutorials: https://tradeentry.ai.

Join CompatibL and AMD experts for a webinar on November 12, 2024 and get insights into the critical factors influencing hardware-sizing decisions at large financial institutions. Siarhei Niaborski, Executive Vice President of Risk at CompatibL, and Jacques du Toit, Principal Member of Technical Staff at AMD, will discuss the challenges these institutions encounter when defining hardware requirements for enterprise trading and risk systems, and will showcase how to approach hardware-sizing. More info and registration: https://lnkd.in/d69iMS5r