Oxford, England, United Kingdom · On-site
You’re driven by curiosity. You love to learn. You want to work with a team to see your code in production. We are a finance firm with a difference. A tight-knit team who love problem solving, bringing together cutting-e…
Skills: Python, C++, Software Development, Machine Learning, Statistical Modeling
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Design, develop, test, and run automated statistical and machine learning models for global market trading. Participate in the full software development lifecycle from planning through to production deployment.
Applicants must be OxWoCS members in their penultimate year of study, regardless of degree level. A strong interest in coding and problem solving is required, though a finance background is not necessary.
You’re driven by curiosity. You love to learn. You want to work with a team to see your code in production.
We are a finance firm with a difference. A tight-knit team who love problem solving, bringing together cutting-edge technology, maths and brilliant coding. But more than that, we’re a true meritocracy who value ideas above all else.
And we’re looking for someone like you.
Exclusive to OxWoCS members, OxFORD Asset Management are offering internships at our central Oxford office to those in their penultimate year of study, regardless of degree level.
Please submit your CV here, come and chat to us at the Strachey Lectures, or email at [email protected] if you have any questions. We’d love to hear from you!
As a friendly, local company with close ties to the University, we draw our team from diverse backgrounds. We have graduates in bioinformatics, engineering, physics, computer science and more. In fact, most of us had no finance background before starting here.
Our engineers and researchers work together to take ideas from prototype through to live trading, using Python or C++ and commonly used open source libraries where applicable. These statistical and machine learning models are fully automated and trade the major markets around the world with no human intervention. Our job is to design, develop, test and run these systems and we’d love to get you involved.
We don’t have a formal, bureaucratic internship program with enforced training, irrelevant lectures, and box ticking. You will be doing a real job, right from the start, within an existing team, and given hands-on training and daily mentoring to help you learn.
You will be involved in all aspects of professional software development, from planning, through to code review and deployment. You will be solving real problems, and by the end of your internship you’ll be a confident member of the team and see your code running in production.
We have regular social events, weekly Ultimate Frisbee games, cycling club, wine tasting, pub nights, punting and more.
If this sounds exciting to you then get in touch to chat about the role and don’t hesitate if you want to talk about a placement other than a summer internship, you can start when the time is right for you. If you’re the right person, we want to hear from you.
Recruitment page for leading Quantitative Fund based in central Oxford.
OxFORD Asset Management is a quantitative research and technology company investing in global financial markets. Our team is close knit, comprised primarily of quantitative researchers, software engineers and computing specialists; most have advanced degrees in mathematics, computer science, physics or econometrics from the world’s leading universities. We're always on the look-out for exceptionally talented researchers and software developers. A background in finance is not necessary. If you're interested in more finding out more about career opportunities at OxFORD, please contact us at [email protected]
Offices: OxAM House, 6 George Street, Oxford, OX1 2BW, GB
Recruitment page for leading Quantitative Fund based in central Oxford.
OxFORD Asset Management is a quantitative research and technology company investing in global financial markets. Our team is close knit, comprised primarily of quantitative researchers, software engineers and computing specialists; most have advanced degrees in mathematics, computer science, physics or econometrics from the world’s leading universities. We're always on the look-out for exceptionally talented researchers and software developers. A background in finance is not necessary. If you're interested in more finding out more about career opportunities at OxFORD, please contact us at [email protected]
Offices: OxAM House, 6 George Street, Oxford, OX1 2BW, GB