Quantitative Scientist (Staff / Sr Staff) (AI)

TL;DR

Quantitative Scientist (Staff/Sr Staff): Researching and developing trading strategies for energy power markets with an accent on AI-driven signal discovery and quantitative modeling. Focus on building production-grade trading solutions, investigating market dynamics, and mentoring analysts to drive the company’s algorithmic decision-making platforms.

Location: Must be based in the US (San Francisco, NYC, Boulder, or Remote US).

Company

A well-funded Series B startup building an AI-powered operating system for the global power sector to enable a cleaner and more resilient energy future.

What you will do

• Research, develop, and backtest novel quantitative trading signals and strategies in the energy domain.
• Influence product and engineering roadmaps through presentation of experimental research and strategy performance metrics.
• Identify sources of trading alpha by analyzing complex energy datasets and industry trends.
• Deploy quantitative trading solutions into production environments.
• Lead cross-functional engagements to structure advanced quantitative analytics or machine learning techniques.
• Mentor members of the trading analyst team and facilitate knowledge sharing.

Requirements

• Must have 2+ years of experience in quantitative research, analytics, or systematic financial trading within the US Power Markets.
• Must be authorized to work in the United States.
• Degree in Computer Science, Data Science, AI, Operations Research, or a related quantitative field.
• Professional experience with Python and computational science tool suites like numpy, pandas, and scikit-learn.
• Experience developing, releasing, and tracking quantitative trading strategies in production.
• Ability to communicate complex mathematical results to both technical and non-technical stakeholders.

Nice to have

• Experience designing statistical models for time series data.
• Proficiency with optimization techniques such as stochastic or robust optimization.
• Experience with database technologies and SQL.
• Experience using visualization tools like Streamlit or Plotly Dash.
• Proven track record of mentoring and leading teams.

Culture & Benefits

• Comprehensive medical, dental, vision, and 401k package.
• Meaningful equity grant in the company.
• Remote-first work environment with flexible scheduling.
• Unlimited vacation policy.
• Mentorship and collaboration with industry experts in energy and tech.