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Steve Wilcockson

Technical Product Marketing

Quantexa

Member since

28 Feb 2014

Location

Diss / London

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Steve's opinions

Winning | Three ways real-time analytics drives business value in financial services

Businesses around the world have arrived at a new frontier of data management and analytics. We’re entering the era of super-fast data, where big ideas are fuelled by insights gleaned from time series data analysed in real-time. For those able to take full advantage, the potential business impact is significant. In the Financial Services industry,...

01 December 2022 /regulation /markets Artificial Intelligence and Financial Services

To Spoof or Not to Spoof, that is the Question

Think carefully, someone could be watching! Busy Regulators! Regulators have been busy. Organizations such as SMBC Nikko, JP Morgan, Atlantic Trading, Natwest, and Robinhood have all recently incurred one or more significant fines, reputational damage and criminal prosecution – courtesy of the power and tenacity of regulators. A particular reg...

23 August 2022 /regulation /crime Financial Risk Management

Data Science And Machine Learning. With Java?

In this blog, I outline briefly: - Common Applications of Data Science - Definitions: Machine learning, deep learning, data engineering and data science - Why Java for data science workflows, for both production and research. Common Applications of Data Science The blogosphere is full of descriptions about how data science and “AI’ i...

30 April 2020 Artificial Intelligence and Financial Services

A Brief Commentary on the March Tiobe Index

The March Tiobe Index is out. I follow Java (1, up short term), Python (3, continual rise), R (11, steady mid-term) MATLAB (15, down mid-term), SAS (21, steady-ish) and Julia (49, wildly down?) as my interests tend towards deployment of quant and data science models into production architectures. Some thoughts on these platforms are below. What do ...

13 March 2020 /ai /devops Capital Markets Technology

Financial Services Firms Must Contribute More Software Repos, to Retain Staff and Stay Relevant

I have for some time been aware of companies increasingly submitting code to open source repositories, some quite openly like the hedge funds Man AHL and Two Sigma Investments. Others have jumped on the "cool open source" bandwagon. The subject is frequently discussed on the conference circuit and blogosphere, particularly in data scienc...

11 January 2020 /ai /devops Innovation in Financial Services

The Non-Contradiction of Proprietary Finance and Community Open Source Programming

I work in financial services, typically quantitative technology applications. A recent employer of mine was an imagery company, providing satellite and drone-sourced data into finance and insurance. In this heady mix of finance and space, I worked with people from defence, aerospace, geospatial, surveying and satellite communications backgrounds w...

11 November 2019 /ai /devops Trends in Financial Services

Deja Vu All Over Again - Financial Lessons from the Brumadinho and Mariana Dam Disasters

There is a Youtube video on the collapse and causes of the collapse of the Mariana Dam disaster in 2015, specifically using satellite imagery to assess key elements before, during and after the Fundão Dam collapse. The Fundão Dam was a tailings dam, built to accommodate the waste resulting from the extraction of iron ore from the extensive Germano...

16 April 2019 Financial Risk Management

Life After MiFID II

It's been a busy and fun Autumn on the London financial services conference circuit. I've been lucky enough to attend a healthy diversity of events with distinct though intersecting agendas. I've attended two alternative data events, both heady mixes of vendor/user speed-dating interspersed with panel discussions, one up-and-coming Quant event and...

11 December 2018 /regulation MiFID

Embracing alternative data: a three-stage approach for portfolio managers

In the quest for alpha, a growing number of portfolio managers have been exploring the esoteric world of alternative data. Some forms, such as sentiment data based on terabytes of news texts and social media, are well established and have matured to the point of securing devoted followings. Other forms, such as satellite imagery that sheds light on...

14 November 2018 Capital Markets Technology

7 Chief Risk Officer Priorities for 2018

Last January I posted 7 Chief Risk Officer Priorities for 2017, based in part on the preceding December’s RiskMinds Conference in Amsterdam, a conference highlighting the worries and interests of Chief Risk Officers and their risk managers. A lot can happen in a year, so I have repeated the exercise. Some topics have carried over such as model go...

17 January 2018 /ai /regulation Financial Risk Management

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