Quant Scientist (LATAM)

Location: Remote, US, New York, United States. The role is part of Research and Development and collaborates with offices in Milan, London, and New York.

Company

hirify.global develops AI-driven investment solutions and proprietary technology for financial applications.

What you will do

• Evaluate machine learning model outputs against financial theory, market dynamics, client objectives, and investment constraints.
• Translate research signals into investment strategies, portfolio construction frameworks, and algorithmic specifications.
• Collaborate with ML researchers to refine models and incorporate financial domain expertise.
• Design, prototype, and scale quantitative models using Python and Java.
• Develop and maintain financial validation and testing frameworks for model diagnostics and continuous improvement.
• Coordinate across research, investment, and technical workstreams to integrate outputs into production workflows.

Requirements

• Degree in Finance, Quantitative Finance, Financial Engineering, Mathematics, or a related field.
• Understanding of portfolio construction, asset allocation, and risk management.
• Strong Python and Java programming skills, with experience in financial modeling, data analysis, and ML-driven workflows.
• Experience interpreting, validating, or stress-testing quantitative or machine learning models through backtesting, scenario analysis, or model diagnostics.
• Ability to translate investment concepts into technical requirements and communicate quantitative insights to technical and business stakeholders.
• Fluent English, written and spoken, is required.

Nice to have

• Experience with Git-based workflows, including branching, code reviews, and version control.
• Experience using LLMs and AI coding tools such as Claude Code or GitHub Copilot.
• Experience delivering precise results in high-pressure, collaborative, and market-driven environments.

Culture & Benefits

• Work on AI-driven investment technology and proprietary research.
• Flexible work environment.
• Unlimited learning and development budget.
• Fast-track opportunities toward technical leadership or principal research roles.
• International collaboration across more than 18 nationalities and offices in Milan, London, and New York.
• Annual company retreat and career progression opportunities.