Are you excited by big data sets? Do you like tackling difficult, complex problems?
We’re interested in highly creative applied scientists with experience of working with large real world data in a first-class research environment. With a proven track record in taking on challenging scientific problems and the desire to apply your skills to a new field, you will really enjoy the fresh questions that the financial markets pose.
Winton Capital is a scientific research led investment manager that uses statistical machine learning techniques to develop algorithms to trade the financial markets. Thus your role will be at the heart of the business and at the cutting edge of quantitative finance research.
The job includes:
• Analysing historical financial data to reveal underlying patterns, correlations, and trends.
• Using statistical machine learning techniques to develop quantitative models to predict price movements in financial markets.
• Developing novel tests and tools to aid pattern recognition in financial data sets.
• Working with like-minded, talented researchers, from a wide range of applied science disciplines.
• Acquiring a sophisticated understanding of financial markets and the company’s proprietary research techniques.
Requirements:
• A PhD in computer science, engineering, statistics, bioinformatics or a related area.
• At least 2 years' postdoctoral experience analysing real world data sets in a top research institution.
• Fluency with Bayesian statistics alongside the ability to develop original measures and tests fit for purpose.
• The drive to see research projects through from beginning to end and hit deadlines.
• An enthusiastic and collaborative approach to research, fuelled by the desire to work with colleagues as motivated as you are.
• Also, programming ability in functional languages/rapid prototyping and familiarity with time series data is a big advantage.
We pride ourselves on providing a collaborative environment where original thought and stimulating research can flourish, bridging the gap between academia and finance. You'll enjoy the same financial rewards as you can find in the City, such as a highly competitive basic salary and quarterly bonuses. But you will also enjoy an unlimited budget with which to explore your research, the opportunity to attend conferences, free lunch (yes it does exist!), a pension scheme, family healthcare cover, a flexible holiday scheme and a well stocked fridge and coffee machine.
Positions are available at our London and Oxford research centres.
To apply, please send your CV and cover letter to [log in to unmask] with "Machine Learning - Allstat" in the subject box. We look forward to hearing from you.
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
|