Junior Quantitative Developer (Python, ML)

TL;DR

Junior Quantitative Developer (Python, ML): Develop and maintain quantitative tools, analytics, and models that support commercial decision-making for North American power and environmental markets with an accent on productionizing and optimizing ML-based models and building cloud-based infrastructure. Focus on troubleshooting production systems, automating trading/operational workflows, and collaborating with traders, analysts, and fellow quants across New York, Stamford, and Houston.

Location: New York

Salary: $150,000–$180,000 USD annually

Company

hirify.global is a commodities trading company focused on risk management and optimization services, including power and carbon markets.

What you will do

• Support West Power and Carbon trading desks by productionizing, optimizing, and maintaining ML-based models used by traders and analysts.
• Enhance and maintain cloud-based infrastructure used to prototype and test quant models.
• Automate trading and operational processes to improve efficiency and reliability.
• Monitor and troubleshoot production systems and respond to issues impacting trading activities.
• Collaborate with colleagues across New York, Stamford, and Houston in a fast-paced trading environment.

Requirements

• Bachelor’s degree in a STEM subject (or related quantitative field) from a premier academic institution.
• 2–4 years of hands-on experience.
• Strong practical skills with Python (e.g., pandas, numpy, plotly, Jupyter).
• Solid understanding of algorithms, data structures, and software engineering best practices, including object-oriented design.
• Knowledge of probability, statistics, linear algebra, and numerical methods.
• Experience with SQL and large datasets; ability to communicate with both technical and commercial stakeholders.

Nice to have

• Advanced degree (BSc/MSc/PhD) in Computer Science/Math/Statistics/Physics.
• Comfort with cloud platforms, preferably AWS, including cloud-native microservices and event-driven architectures.
• Experience with time series analysis, forecasting, or optimization methods.
• Experience building AI agentic workflows to retrieve/process data.
• Exposure to energy, commodities, financial markets, power markets, emissions markets, or energy systems.

Culture & Benefits

• Full-time role with an annual base salary plus discretionary annual bonus based on performance.
• 20 days of annual holiday entitlement (excluding US public holidays).
• Robust benefits package including medical, dental, vision, life insurance, and 401(k) match.
• Eligibility for external and internal training under the Training & Development Policy.