Overview
On Site
Full Time
Skills
Quantitative Analysis
Finance
Machine Learning (ML)
Trading
FOCUS
Attention To Detail
Analytical Skill
Problem Solving
Conflict Resolution
Research
Mathematics
Fluency
Python
R
As-is Process
Statistics
Optimization
DOM
Job Details
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
Rewards and Incentives
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 you feel you are a strong match for this role, please don't hesitate to get in touch:
Dominic Copsey
+44 (0)
linkedin.com/in/dom-copsey-586478143/
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
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 you feel you are a strong match for this role, please don't hesitate to get in touch:
Dominic Copsey
+44 (0)
linkedin.com/in/dom-copsey-586478143/
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.