Senior Quantitative Researcher (Machine Learning)

Location: New York, NY, United States; location is flexible for the right candidate, with New York or Hong Kong preferred. Hybrid working opportunities are available.

Salary: $120,000–$200,000 annual base salary for New York and Chicago, plus eligible bonuses.

Company

hirify.global is a quantitative trading firm developing systematic trading strategies and electronic trading infrastructure through independent trading teams and a global organization.

What you will do

• Analyze large datasets from diverse sources to develop and test hypotheses about market behavior.
• Research and build statistical models for financial instrument valuation and returns.
• Formalize and implement trading strategies and algorithms by solving optimization problems.
• Build robust, scalable quantitative research methods, tools, and platforms.
• Support the full research pipeline, from data extraction and analysis through model calibration, reporting, deployment, and production analysis.

Requirements

• Advanced academic background in mathematics, machine learning, computer science, physics, or a similar quantitative field, with research experience equivalent to a research-oriented master’s degree or ideally a PhD.
• Strong quantitative research experience in systematic trading, covering idea generation, research, deployment, and production analysis.
• Track record of delivering impactful results in quantitative research.
• Strong programming skills and experience building high-quality, scalable software in Python or C++, ideally both.
• Ability to communicate clearly and effectively at both high and detailed levels.

Culture & Benefits

• Collaborative, welcoming, results-oriented environment with minimal hierarchy and no unnecessary ego.
• Generous paid time off policies and regional savings plans and financial wellness tools.
• Free breakfast, lunch, and snacks in the office.
• Wellness experiences, fitness reimbursements, company-sponsored sports teams, and fitness events.
• Volunteer opportunities, charitable giving, social events, and celebrations.
• Workshops and continuous learning opportunities.