Join the Community

23,272
Expert opinions
43,774
Total members
395
New members (last 30 days)
186
New opinions (last 30 days)
29,070
Total comments

Latest expert opinions

clear
clear
Steve Wilcockson

Steve Wilcockson Technical Product Marketing at Quantexa

Is the Job Title Quant Overused?

The job title Quant is ubiquitously used. While a dynamic, exciting and dynamic discipline, its breadth and meaning can obfuscate and cannibalize different roles. In recent times too, its integration, engagement and overlap with the growing data science and data engineering disciplines has added new dimensions and dynamics to its meaning. Quant h...

/people /markets Analytics in Banking

Steve Wilcockson

Steve Wilcockson Technical Product Marketing at Quantexa

The Future of Contextual Risk Simulations and Scenarios

Simulations are important. It was ever thus since the dawn of computing, but they have become even more important in AI-infused complex business environments. Simulations are core to any organization’s toolkit for making optimal decisions. Combining simulations with domain models (ontologies) rooted in an organization’s platform, model and data ar...

/ai /regulation Financial Risk Management

Steve Wilcockson

Steve Wilcockson Technical Product Marketing at Quantexa

Contextual RAG: Identify Risks and Opportunities without Over-Engineering

While AI models - large language models (LLMs) in particular - become more powerful and widely commoditized, the need for accurate, context-rich data grows ever more critical. In regulated industries, this becomes even more essential, as organizations must also ensure explainability and governance. For the modern organization, Contextual Retrieval...

/ai /crime Financial Risk Management

Steve Wilcockson

Steve Wilcockson Technical Product Marketing at Quantexa

The Data Structures That Drive Quant and AI

Our BizDev team at work asked me to explain why Data Management developed different cultures and languages to that of Data Science. I found this hard, in part because some of my background comes from engineering maths, which, for many years, was tightly coupled with the arguably adjacent Financial Services discipline of Quant, or Financial Enginee...

/ai /regulation Artificial Intelligence and Financial Services

Steve Wilcockson

Steve Wilcockson Technical Product Marketing at Quantexa

For Financial Services AI, DeepSeek Changed Everything and Changed Nothing

What Just Happened? The pace of change and events this last two weeks has been bewildering. I have below summarized what just happened with links to social posts with deeper insights, and also described how financial services need to react. DeepSeek launched their LLM to great acclaim. So too did Alibaba with their new Qwen model. However, DeepSe...

/ai /regulation Artificial Intelligence and Financial Services

Steve Wilcockson

Steve Wilcockson Technical Product Marketing at Quantexa

7 FinTech Techonomic and AI Predictions for 2025

I've had something of an eye for predicting change related to quant, fintech and computing trends, e.g. open source, data science, languages, risk/governance, perils and pitfalls of big data, stress testing, etc. Sometimes folk listened, other times not, and I was occasionally encouraged to make some sanitized corporate-friendly predictions public...

/ai /predictions Artificial Intelligence and Financial Services

Steve Wilcockson

Steve Wilcockson Technical Product Marketing at Quantexa

How a Contextual Fabric Delivers Better Financial Services Outcomes

Data Fabric: The Origination Story Throughout my career, enterprise data management paradigms have come and gone. Let’s briefly trawl some data management history to understand how data fabric emerged. Popular data management paradigms include: Data Warehouse Data Lake ETL, i.e. Extract, Transform, Load ELT, i.e. Extract, Load, Transform Data Lake...

/ai /regulation Data Management and Governance

Steve Wilcockson

Steve Wilcockson Technical Product Marketing at Quantexa

Your LLM Will Wish You Had Used a Knowledge Graph

The problem: Generative AI Large Language Models (LLMs) can only answer questions or complete tasks based on what they been trained on - unless they’re given access to external knowledge, like your organization’s knowledge. LLMs can be fine-tuned, but it's an expensive endeavor. As a result, deploying enterprise context in conjunction with LLMs has...

/ai /identity Artificial Intelligence and Financial Services

Steve Wilcockson

Steve Wilcockson Technical Product Marketing at Quantexa

Niklaus Wirth, and How Financial Computing Can Help Save The Planet

More than a few computing luminaries have sadly passed over recently, unsurprising given many pioneers from the fifties, sixties, and seventies reaching end of life. One who caught my eye was Niklaus Wirth who departed this world on New Year's Day. He was a Swiss computer scientist, associated most with ETH Zurich, but he also had sixties Silicon V...

/people /markets Capital Markets Technology

Steve Wilcockson

Steve Wilcockson Technical Product Marketing at Quantexa

Three GenAI Terms Financial Practitioners Learnt in 2023

2023 was a troublesome year for many on our planet – wars, violence, population displacement, catastrophes, extremism, higher costs of living and poverty. Folks working in our industry were comparatively lucky, some of us invigorated by the exciting GenerativeAI tornado. Just as HFT transformed the vocabulary of capital markets in the 2000s, and d...

/regulation /markets Artificial Intelligence and Financial Services

Now Hiring