Head of Systematic Macro Strategy — Lead Quant Team
Trexquant Investment LP
New York (NY)
On-site
USD 120,000 - 150,000
Full time
14 days+
Application generator
A complete application in a minute — tailored resume and cover letter, ready to send.
Get past ATS filters
Benefits offered by this job
Competitive salary
Bonus based on performance
Health, dental, and vision insurance premiums covered
Job summary
A financial investment firm in New York is seeking a senior quantitative professional to lead the Systematic Macro Strategy team. This role involves developing macro strategies, collaborating with various teams, and managing data pipelines to enhance trading efficiency. Ideal candidates should possess advanced degrees in STEM fields, strong quantitative skills, and over 5 years of relevant experience, particularly with systematic macro-based strategies. The position offers competitive compensation and health benefits.
Qualifications
5+ years of experience in researching and trading systematic macro based strategies.
Experience managing or leading a team of quant researchers.
Strong quantitative skills.
Responsibilities
Build and lead the Systematic Macro Strategy team, enhancing macro alpha signals.
Design and develop systematic macro strategies across asset classes.
Collaborate with the execution team to optimize strategy implementation.
Identify and integrate high-quality datasets for macro research.
Enhance platform capabilities with the development team.
Define and manage macro-specific risk exposures with the risk team.
Communicate insights and performance to senior management.
Skills
Quantitative skills
Team management
Python
Education
Bachelor's, Master's, or Ph.D. in Mathematics, Statistical Modeling, Computer Science or related STEM fields
Job description
A financial investment firm in New York is seeking a senior quantitative professional to lead the Systematic Macro Strategy team. This role involves developing macro strategies, collaborating with various teams, and managing data pipelines to enhance trading efficiency. Ideal candidates should possess advanced degrees in STEM fields, strong quantitative skills, and over 5 years of relevant experience, particularly with systematic macro-based strategies. The position offers competitive compensation and health benefits.