Quantitative Research Analyst (Python)

TL;DR

Quantitative Research Analyst (Python): Building and supporting data pipelines, quantitative research infrastructure, and production models for systematic equity investing with an accent on alpha-factor research, model estimation, and portfolio construction. Focus on validating alternative datasets, implementing machine learning models, and maintaining reliable research and production systems.

Location: New York, NY, United States

Salary: $120,000–$140,000 USD annually, plus potential incentive compensation.

Company

hirify.global provides financial and investment management services focused on helping individuals and communities achieve better financial futures.

What you will do

• Build, maintain, and monitor reliable data pipelines for quantitative research and production models.
• Maintain and improve the shared codebase, data repositories, and cloud-based technology stack.
• Clean, validate, and assess datasets for their potential to generate investment alpha.
• Support research on multifactor and machine intelligence models, including new signals and linear or nonlinear estimation methods.
• Collaborate with portfolio managers, quantitative researchers, technology partners, and fundamental analysts.
• Contribute to product development and investment thought leadership.

Requirements

• Degree in a quantitative discipline such as financial engineering, operations research, mathematics, computer science, or statistics.
• 0–5 years of relevant experience in applied quantitative research; strong recent graduates are encouraged to apply.
• Strong analytical, mathematical, statistical, and econometric skills.
• Hands-on experience with Python, including NumPy, pandas, and machine learning packages such as XGBoost and scikit-learn.
• Solid understanding of relational databases and the ability to work independently and collaboratively.
• Strong problem-solving, interpersonal, communication, prioritization, and attention-to-detail skills.

Nice to have

• Experience with Azure or other cloud services.
• Experience with financial datasets such as FactSet or Bloomberg.
• Knowledge of factor investing, financial statement analysis, or progress toward the CFA designation.

Culture & Benefits

• Purpose-driven environment focused on expanding access to financial opportunities.
• Inclusive workplace that values diverse backgrounds and perspectives.
• Health, dental, vision, and life insurance plans.
• 401(k) plan with company matching contributions of up to 6% and an employer-paid retirement plan.
• Tuition reimbursement of up to $5,250 per year, 20 days of paid time off, paid holidays, and 40 hours of paid volunteer time annually.