Our Approach
It is well worth noting that this site is published and maintained purely for "our" own amusement and as an opportunity to publish collected thoughts for reference. No doubt there are others who agree with the sentiments published herein. But it's wholly unlikely that everyone agrees with everything - hence the need for discourse, without which we'd never change our mind and we wouldn't have anyone to talk to. Please also note that we don't take ourselves too seriously.
In no particular order, things we like to talk about include but are not limited to:
Web3. DeFi. CeFi. Blockchain. Crypto. Smart contracts. Data platforms. Software engineering. Development paradigms. HPC. Cloud. Derivatives. Digital assets. Smart contracts. DeFi. OTC trading. Electronic trading. Connectivity. Disintermediation. Machine Learning. IR products. Exotics. Team topologies. Development methodologies. Structured products. Market Risk. Credit risk. CVA/KVA/..../xVA risk. In-cloud analytics. Cash FI products. Credit trading. Equity trading. FX trading. Operational risk (no really). Cyber risk (like it or not). Market data. Data management. Disruptive technologies. Banking. Asset management. Hedge funds. AWS. Azure. GCP. Execution platforms. Pricing models. GPU development. Low latency. HFT. Python. C++. C#. Automated reasoning including AI/ML/DL. Data Science. Market data vendors. Reference data. Orchestration platforms. Messaging platforms. Data structures. Data repositories.
Our Story
Meet the Team
Financial Reasoning is a close knit community who try not to take themselves too seriously...
Robert Johnson
Management
Robert has spent many years managing front office quantitative technology teams across EMEA, Asia and the US for a global investment bank where he held the international CTO/CIO role(s) for the front office. Nowadays he lives on the buy-side as CTO at a firm providing full-stack, soup-to-nuts services to the fund management industry.
On a good day in the right light it can look like he is smiling.
Rob Johnson
Engineering
Rob spent a dozen years or so developing feed handlers, pricing, and risk systems. C++ was his weapon of choice. He worked in a couple of fintech firms building fast trading platform connectivity before coding for kicks as a quant developer on the exotics desk of a large bank. There he coded pricing and risk systems before sadly abandoning his soul and moving into management.
He still likes to think he could write industrial strength code. If he really had to. Maybe. But he’s clearly not a web designer....
Dr Robert D Johnson
Theoretical
Dr Johnson holds a PhD from the University of London where he researched parallelism in automated reasoning. He then moved up to Manchester for a number of years as a post-doc Research Fellow to extend this research into temporal logics. He has a number of papers published and presented his work in Europe and the US. He continues to have an interest in machine learning and AI.
During this time he also lectured and gave tutorials on undergraduate and postgraduate courses covering both imperative and logic programming languages.
Never ask him the following question:
“So why did you choose to study automated reasoning using computational logics rather than neural nets, because you’d have been in at the beginning right?”