Quantitative Researcher (Fintech)

TL;DR

Quantitative Researcher (Fintech): Developing risk models and machine learning systems for high-throughput portfolio optimization with an accent on fixed income securities and AI-driven credit research. Focus on building production-grade algorithmic workflows, designing complex financial models, and solving real-time portfolio tracking challenges.

Location: Must be based in New York, NY (5 days/week at HQ)

Salary: $200,000–$325,000

Company

hirify.global is a high-growth fintech startup building next-generation trading and portfolio management technology for major financial institutions.

What you will do

• Develop risk models to estimate tracking error between portfolios.
• Create machine learning models to estimate relative value and future outperformance in fixed income.
• Build AI agents to automate credit research and portfolio management tasks.
• Write production-grade Python code for complex financial applications.
• Work directly with customers to define product strategy as your own product manager.

Requirements

• Bachelor’s degree or PhD in Mathematics, Physics, Statistics, Economics, or Computer Science.
• Proficiency in production-grade Python coding.
• Experience as a quant researcher or quant trader.
• Ability to own end-to-end research projects and product requirements.
• Must work onsite 5 days per week at the New York City headquarters.

Nice to have

• Fixed income quantitative research experience.
• Knowledge of numerical optimization techniques.
• Experience with Polars or machine learning pipelines.
• Familiarity with multi-modal LLMs.

Culture & Benefits

• Aggressive initial equity grant plus annual performance-based bonuses.
• Comprehensive health, dental, and vision coverage.
• $150 monthly gym stipend.
• Free lunch and dinner provided daily.