Quantitative Trader

iSAM; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading firm in algorithmic trading seeks a Quantitative Trader to enhance its trading models and strategies. Ideal candidates will have a PhD in a quantitative discipline and experience in high-frequency trading. Responsibilities include applying statistical methods and programming for optimal portfolio management.

Qualifications

• Strong academic background in a quantitative field.
• 1+ years experience in trading strategies.
• Proficiency in Python and statistical methods.

Responsibilities

• Develop algorithmic trading models.
• Conduct research in signal processing and risk management.
• Optimize portfolios and improve order execution.

Skills

Statistical methods

Mathematics

Python

Creative problem solving

Education

PhD in Statistics, Mathematics, Physics, Computer Science

Job description

Quantitative Trader

Department: iSAM Securities - Quantitative Trading

Employment Type: Permanent

Location: London

Description

Quantitative traders are responsible for the research and development of the firm’s algorithmic trading models. Applied quantitative research is deployed across all aspects of our trading platform and consequently, the team is actively engaged in solving problems across a broad range of subjects, from signal research to risk management, portfolio optimisation and order execution. The culture is collaborative, the research is owned front to back, and we are open to new ideas and methods.

Qualifications

• Strong academic background (preferably PhD) in Statistics, Mathematics, Physics, Computer Science, or another quantitative field
• 1+ years of experience working in high frequency, intra-day or a few days holding period prop strategies in FX or Futures markets. Otherwise, a PhD with a financial application
• Working knowledge of linear and non-linear statistical methods on big datasets
• Proven ability to conduct quality research, demonstrated either through relevant work experience or peer reviewed academic papers
• Strong proficiency in Python. Any other programming language is an advantage

Personal Attributes

• Team oriented mentality
• Creative, motivated, self-starter