Quant Researcher - Medium Frequency - New York OR London- Global Hedge Fund

Oxford Knight; London; On-site; GBP 200,000 - 700,000; Full time

Job summary

An established industry player is seeking a quantitative alpha researcher to join its innovative machine learning systematic trading team. This exciting role, based in London, involves researching and implementing fully automated systematic futures signals, contributing to the development of cutting-edge trading models. Ideal candidates will possess strong programming skills in Python and R, alongside a solid foundation in statistics and data manipulation. Join a collaborative environment where your ideas are valued and implemented, working alongside passionate and intelligent colleagues to drive impactful results in the financial markets.

Benefits

Competitive base salaries

Performance-based bonuses

Collaborative culture

Innovative work environment

Qualifications

• 2-4 years of research experience in scalable alpha.
• Advanced degree in Statistics or Computational Math required.

Responsibilities

• Research and implement automated systematic futures signals.
• Build and maintain systematic trading models in futures.

Skills

Python

R

Statistical Analysis

Data Manipulation

Problem Solving

Education

MS/PhD in Statistics

Computational Math

Job description

Location: New York or London

Salary: 200-700k TC

A leading systematic hedge fund investing across a variety of financial markets, my client is seeking a quantitative alpha researcher to work in the machine learning systematic trading team, based in either New York or London.

This team currently researches, builds and maintains systematic trading models in the liquid futures space, and your role will focus on researching and implementing fully automated systematic futures signals with intraday to daily horizons.

To be successful, you'll need to be a pragmatic developer, with a high attention to detail and analytical problem-solving capabilities.

Requirements

• At least 2-4 years of comparable research experience (scalable short- and medium-term alpha)
• Advanced degree (MS/PhD) in Statistics and/or Computational Math from top-tier institution
• Strong programming skills: fluency in Python and R is a must, as is the ability to write efficient code
• Excellent understanding of probabilities, statistics and optimization
• Experience manipulating large datasets

Rewards and Incentives

• Competitive base salaries and performance-based bonuses
• Very collaborative culture, ideas are implemented
• Work with passionate, forward-thinking, incredibly smart people

Contact

If you feel you are a strong match for this role, please don't hesitate to get in touch:

Dominic Copsey
[e-mail]
[phone]
linkedin.com/in/dom-copsey-586478143/