As a graduate analyst you will be given a unique insight into the world of quantitative trading, interacting with quants, traders, and developers on live projects, and emerging as a permanent Quantitative Research Analyst upon successful completion of the 12-month programme.
This programme will help you to apply academic knowledge in solving quantitative research problems. Some of the support to help you achieve this includes:
- An introduction to financial data analysis through completion of your personalised starting project
- Learn about market microstructure by building a simulated exchange
- Receive structured training on Python and learn about programming in a collaborative production environment
- One-on-one mentorship with a senior member of our quant team
- Trading classes exploring the wide range of products traded by SIG
- Gain exposure to large-scale computing resources and other state-of-the-art technology
- Successful completion of the 12-month graduate programme leads to a permanent role as a SIG quant
What You’ll Do:
SIG quants often work with one trading desk, assuming these responsibilities:
- Establish meaningful relations among financial products through machine-driven data analysis and mathematical modelling
- Generate, test, and challenge hypotheses to create or improve complex trading strategies
- Work closely with traders to identify new areas of research and to explore trading strategies
- Collaborate with software developers to build trading systems that execute large-scale strategies independent of human interaction
What we’re looking for
- Open to recently graduated PhDs and post-doctorates who have a keen interest in quantitative trading. Students in their last year of PhD studies are also welcome to apply, and the prospective joining date will accommodate the study end date.
- Successful candidates from past programmes have studied a range of quantitatively oriented disciplines, such as mathematics, physics, engineering, computer science, and econometrics
- The key skills that quants use include probability theory, statistical analysis, large-scale data analysis, machine learning, and computer programming. Candidates with strong mathematical academic training and expertise in at least one of these skills are encouraged to apply.
- The programme is ideal for individuals who are seeking to start a career in quantitative finance, without prior knowledge or experience of the industry
We don’t post salary ranges externally so any salary estimate you see listed on a third party website was not provided by SIG and may not be accurate.
SIG is not accepting unsolicited resumes from search firms. All resumes submitted by search firms to any employee at SIG via-email, the Internet or directly without a valid written search agreement will be deemed the sole property of SIG, and no fee will be paid in the event the candidate is hired by SIG.