Oxford Algorithmic Trading Programme

Take human bias out of the equation with automated trading.

Duration

6 weeks entirely online,
excluding orientation

Effort

Self-paced weekly modules,
8–10 hours per week

Learning Format

Learn alongside a global cohort
of like-minded professionals

Other Detail

Choose from flexible
payment options

On completion of this programme, you’ll walk away with:

1

A comprehensive overview of algorithmic trading, including its history, benefits, challenges, rules, and processes.

2

The skills required to plan and implement your own algorithmic trading strategies, and assess the efficacy of a trading model in a real-world market environment.

3

An informed view on the future of systematic trading and how it’s impacted by emerging technologies such as artificial intelligence and machine learning.

4

Knowledge, insights, and frameworks from University of Oxford faculty, and a host of international industry experts.

This programme is for you if you are:

  • Eager to understand what algorithmic trading strategies have to offer you as a trader, investor, or financial professional

  • A business leader who wants to leverage algorithmic trading in your firm

  • Interested in the strategic and technical side of algorithmic trading and the creation of rule-driven trading models

  • In the early stages of your career at a quantitative finance firm and keen to explore the world of automated trading

  • A risk, compliance, or legal professional seeking to improve your professional knowledge of algorithmic trading and its regulatory framework

 

Build an algorithmic trading model

While this programme provides a non-technical introduction to the world of algorithmic trading, it also features optional activities for participants interested in building an algorithmic trading model using Python. These exercises present a unique opportunity to bridge the gap between the programme’s theoretical content and real-world market applications. Once on the programme, you’ll have the choice to complete these activities as they will not count towards your grades. No extra software is required.

Programme curriculum

Over the duration of this online programme, you’ll work through the following modules:

Module 1
Introduction to classic and behavioural finance theory

Engage with two fundamental approaches to finance and see how theoretical models are applied.

Module 2
Systematic trading and the state of the investment industry

Discover the history of hedge funds, the evolution of systematic trading over time, and the latest innovations in the algorithmic trading industry.

Module 3
Technical analysis and the methodology of trading system design

Learn about the primary stages of modelling in financial markets.

Module 4
Working with an algorithmic trading model

Discover the process of building a simple trend model, see it in action, verify its validity, and discuss its applications.

Module 5
Evaluation criteria for systematic models and funds

Understand the key evaluation criteria required for a critical overview of systematic models and funds.

Module 6
Future trends in algorithmic trading

Learn about future trends in the algorithmic trading sector and the technologies poised to facilitate its growth.

Please note that module titles and their contents are subject to change during programme development.

Programme Director

Nir Vulkan

Associate Professor of Business Economics, Saïd Business School, University of Oxford

Professor Nir Vulkan is an authority on e-commerce and market design, and on applied research and teaching on hedge funds. His expertise lies in crowdfunding, e-commerce, market design, entrepreneurship, hedge funds, and fintech. Nir has been a lecturer at Saïd Business School since 2001. He was the director of the Oxford Centre for Entrepreneurship and Innovation (OxCEI) and the co-founder and director of OxLab, a laboratory for social science experiments, both at Saїd Business School.

The Oxford Algorithmic Trading Programme is certified by the United Kingdom CPD Certification Service, and may be applicable to individuals who are members of, or are associated with, UK-based professional bodies. The programme has an estimated 60 hours of learning.

Note: should you wish to claim CPD activity, the onus is on you. Oxford Saïd and GetSmarter accept no responsibility, and cannot be held responsible, for the claiming or validation of hours or points.

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Your Guest Experts

This programme combines esteemed academics and leading industry players to ensure that you get a full 360-degree perspective on algo trading.

 

MATTHEW SARGAISON
Co-CEO, Man AHL
MARTIN LUECK
Co-Founder, Aspect Capital
GIOVANNI DAPRÀ
CEO and Co-Founder, MoneyFarm

 

SUSI GORBEY
Director of Quantitative Strategies Oversight, Tudor Capital Europe LLP
DARYL COOK
Managing Director and Portfolio Manager, Systems Group, Tudor Investment Corporation
EWAN KIRK
CEO and Co-Founder, Cantab Capital Partners

 

STEFAN ZOHREN
Associate Professor, Oxford-Man Institute of Quantitative Finance, University of Oxford
ANTHONY LEDFORD
Chief Scientist, Man AHL
STEPHEN ROBERTS
Director, Oxford-Man Institute of Quantitative Finance and Professor of Machine Learning, University of Oxford

 

HANS-JÖRG VON METTENHEIM
Chair of Quantitative Finance and Risk Management, IPAG Business School
STEVE MOBBS
Partner and Co-Founder, Oxford Asset Management
TERRI DUHON
Non-Executive Director and Risk Chair MSI, Morgan Stanley
Stephen Olayiwola, Quant Analyst and Algo Trader, Virgin Money image

“The programme has afforded me the base knowledge needed to develop and expand my algo skill set. I would recommend it to anyone looking to start a career in algo trading, but who has no idea where to begin.”

Stephen Olayiwola, Quant Analyst and Algo Trader, Virgin Money

An online education that sets you apart

This Oxford Algorithmic Trading Programme is delivered in collaboration with online education provider GetSmarter, part of edX. Join a growing community of global professionals, and benefit from the opportunity to:

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Experience a flexible but structured approach to online education as you plan your learning around your life to meet weekly milestones.

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Enjoy a personalised, people-mediated online learning experience created to make you feel supported at every step.

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Earn a certificate of attendance recognising your online programme from Saïd Business School, University of Oxford.

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