Medium Frequency Quant Researcher (Pipeline Team)- Global Hedge Fund

ZipRecruiter; London; On-site; GBP 100,000 - 125,000; Full time

Job summary

A leading recruitment agency is seeking a quantitative alpha researcher to join a machine learning systematic trading team in London. The ideal candidate will have 2-4 years of experience in the field, a strong background in statistics or computational math, and proficiency in Python and R. Responsibilities include researching and implementing automated trading signals. This role offers an exciting opportunity to work with a dynamic team in the finance sector.

Qualifications

• 2-4 years of experience researching scalable short- and medium-term alpha.
• Strong ability to manipulate large datasets.
• Ability to write efficient code.

Responsibilities

• Researching and implementing fully automated systematic futures signals.
• Working within the machine learning systematic trading team.
• Building and maintaining systematic trading models.

Skills

Researching scalable short- and medium-term alpha

Fluency in Python

Fluency in R

Understanding of probabilities

Understanding of statistics

Attention to detail

Creative thinking

Education

Advanced degree (MSc or PhD) from a top-tier institution

Advanced degrees in Statistics

Advanced degrees in Computational Math

Job description

Job DescriptionSummary

My client is looking to hire a quantitative alpha researcher to work within their machine learning systematic trading team that currently researches, builds and maintains systematic trading models in the liquid futures space. The candidate's primary responsibilities will include researching and implementing fully automated systematic futures signals with intraday to daily horizons. Suitable candidates will generally have at least 2-4 years of comparable research experience.

Requirements

• 2-4 years of experience researching scalable short- and medium-term alpha
• An advanced degree (MSc or PhD) from a top-tier institution is
• Strong preference for advanced degrees in Statistics and/or Computational Math
• Excellent understanding of probabilities, statistics and optimization
• Experience manipulating large datasets
• Excellent programming skills: fluency in Python and R is a must, as is the ability to write efficient code
• High attention to detail
• Creative thinker

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If this sounds like you, or you'd like more information, please get in touch:

George Hutchinson-Binks
[e-mail]
([phone]
linkedin.com/in/george-hutchinson-binks-a62a69252