- Start Date: January 12, 2026
- Duration: 10 weeks for full-time (Ending on March 20, 2026), or 15 weeks for part-time
(ending May 1, 2026) - Application Deadline: November 25, 2025
- Experience Level: Intern
- Key Responsibilities:
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- Model Development: Design, test, and enhance quantitative models for forecasting, valuation, and risk management across multiple asset classes.
- Data Science & Automation: Develop tools and pipelines for large-scale data ingestion, transformation, and analysis using Python, SQL, and cloud-based frameworks.
- Statistical & Machine Learning Analysis: Apply econometric, time-series, and ML techniques to identify market signals and improve predictive performance.
- Cross-Market Research: Conduct quantitative research on energy, commodity, and equity markets to support trading and portfolio management teams.
- Performance Analytics: Evaluate and back-test trading strategies, and analyze key
drivers of portfolio risk and return. - Collaboration: Partner with traders, portfolio managers, and researchers to
translate quantitative insights into actionable strategies
- Required Qualifications:
- Academic: Currently pursuing a Bachelor’s or graduate degree in Applied
Mathematics, Statistics, Computer Science, Data Science, Engineering, Financial
Engineering, Economics/Financial Economics, or another quantitative discipline. - Skills: Proficiency in Python (pandas, NumPy, scikit-learn), R, or MATLAB;
experience with SQL and data visualization tools preferred. - Quantitative Expertise: Strong foundation in probability, statistics, time-series
analysis, and optimization. - Analytical Mindset: Ability to structure complex problems and implement data-driven solutions.
- Communication: Ability to clearly present analytical results to technical and non-technical audiences.
- Academic: Currently pursuing a Bachelor’s or graduate degree in Applied
- What We Offer:
- Cutting-Edge Research: Exposure to quantitative modeling and strategy
development across energy and financial markets. - Mentorship: Direct collaboration with experienced quants and researchers.
- Innovation Environment: Access to state-of-the-art tools and real-world datasets
for applied quantitative research. - Career Growth: Top-performing interns will be considered for full-time quantitative
research or trading assistant roles.
- Cutting-Edge Research: Exposure to quantitative modeling and strategy
- Additional Information
- Applications will be reviewed on a rolling basis; therefore, early submission is strongly encouraged.
- If you encounter any difficulties submitting your application, please contact us through the Contact Us.
- Candidates are advised to apply for only one Winter Analyst Intern position. Additionally, applicants who have previously applied for the Winter Trading Analyst Intern position should refrain from applying for this role.