In today’s markets, automation, big data and machine learning aren’t just “nice to haves” they’re foundational. That’s why I’m excited to highlight the Algorithmic Trading Certificate (ATC) from WBS Training as the go-to certificate for trading professionals.

Why the ATC stands out:

🔸It covers the full systematic trading pipeline from data ingestion through feature engineering, modelling, execution and performance measurement.
🔸It’s designed for the real world: hands-on final project and practitioners teaching theory + real experience.
🔸Inclusive and global: there’s an emerging-markets subsidy and regional / group discount structure.
🔸Global Start Times: Accessible for many participants worldwide.
🔸Comprehensive hands-on final project: designed to consolidate and apply the practical skills developed throughout the course.

Whether you’re a trader looking to deepen your quant skills, a developer bridging into systematic strategies, or a finance professional aiming to future-proof your career, this certificate gives the toolkit and mindset to operate at the intersection of markets + code. The future of trading is algorithmic. If you want to lead it, the ATC helps you build the foundation.

Unlock the World of Systematic Trading: The Algorithmic Trading Certificate (ATC)

What is covered in this information Session?

\- Information Session: Algorithmic Trading Certificate and the new course \- Fundamentals of Algorithmic Trading
\- Introduction from Geoff Brown\, WBS Training\, Global Head of Business Development\.
\- Presentation by Course Leaders: Nick Firoozye & Brian Healey
\- Followed by a Q&A

About the ATC programme: https://www.wbstraining.com/events/algorithmic-trading-certificate/

Neil Clive Fowler

WBS Training: Quant Finance Meet Up

Career & Business

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Finance

Banking

Quantitative Finance

Quantitative Analysis

Machine Learning

Quantitative Trading

Quantum Computing

**Dr. Nick Firoozye** is a mathematician with over 20 years of experience in the finance industry, in both buy and sell-side firms, in research, structuring and systematic trading. He started his finance career in Lehman Brothers doing MBS/ABS modelling, heading teams in Portfolio Strategy and EM Quant Research, later taking a variety of senior roles at Goldman Sachs, and Deutsche Bank, and at asset managers and hedge-funds, Sanford Bernstein, Citadel, and Exodus Point, in areas ranging from Quantitative Strategy, Relative Value Strategy and Trading, to Asset Allocation. He is currently Managing Director and Head of FI Systematic Trading at a small securities trading shop in NY. He is an Honorary Professor in Computer Science at University College London, focusing on Online Learning, Reinforcement Learning, Robust Machine Learning and of course Statistics in Finance. Two of Nick’s PhD students have completed their degrees, and he has six doing areas in quant finance from systematic trading to recommender systems. He co-authored a book, entitled *Managing Uncertainty, Mitigating Risk,* about the role of uncertainty in finance, in light of the many recent financial crises. Nick began teaching *Algorithmic Trading Strategies* as a PhD reading course in 2015 and since then Nick adapted the material for a few online courses and created an MSc course by the same name which has run for the past 4 years. Nick has had **over 500 students** successfully taking his online and UCL courses to date. Nick got his PhD at Courant Institute, NYU, and taught for a number of years at U of MN, Heriot-Watt, University of Bonn, NYU, and then finally at University of Illinois where he was an Asst Prof, before leaving academia for Wall Street.

Dr Nick Firoozye

Algorithmic Trading Certificate: Master Systematic Trading with the ATC

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WBS Training: Quant Finance Meet Up

Algorithmic Trading Certificate: Master Systematic Trading with the ATC

WBS Training: Quant Finance Meet Up

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