Quantitative Data Scientist (Fintech)

TL;DR

Quantitative Data Scientist (Fintech): Building and maintaining robust research data pipelines and analytical frameworks to support systematic trading and options research with an accent on data integration, statistical modeling, and infrastructure scalability. Focus on transforming raw financial data into actionable insights and operationalizing research methodologies into repeatable workflows.

Location: Must be based in New York (Hybrid)

Company

hirify.global is a data and analytics firm providing transparency and insights into global commodity markets and financial transactions.

What you will do

• Partner with quantitative researchers to identify, acquire, and integrate new financial datasets.
• Design and maintain reliable Python-based pipelines for data collection, cleaning, and transformation.
• Develop automated workflows to support systematic trading research and strategy development.
• Build and manage research databases, data models, and quality monitoring processes.
• Perform exploratory data analysis and statistical investigations to support alpha generation.
• Manage data infrastructure in cloud or server environments to ensure system stability.

Requirements

• 1-3 years of experience in data engineering, data science, or quantitative research support.
• Strong proficiency in Python for writing clean, maintainable, and efficient code.
• Solid mathematical foundation including probability, statistics, linear algebra, and calculus.
• Experience building automated data pipelines and working with large relational datasets.
• Comfortable working in Linux/server-based environments.
• Ability to translate complex research requirements into scalable technical solutions.

Nice to have

• Experience in financial markets, trading, or quantitative investing.
• Familiarity with options markets, derivatives, and volatility products.
• Knowledge of cloud infrastructure (AWS, GCP, Azure).
• Experience with time-series analysis and machine learning techniques.

Culture & Benefits

• Opportunity to work at the intersection of research and technology in a high-impact financial environment.
• Collaborative team culture focused on knowledge sharing and reproducibility.
• Exposure to large-scale financial datasets and advanced quantitative research techniques.