Posting record
Open 4+ days
- SESCO's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking SESCO, so its true age is longer.
Last checked Nov 4, 2026.
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Upload your resumeWhat it asks of you
- PhD asked for
- Equivalent experience accepted instead of a degree
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
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Skills mentioned
About the role
SESCO Enterprises, LLC is a proprietary commodities trading firm specializing in U.S. electricity markets. We leverage deep market insights and advanced quantitative analysis to drive results and contribute to the efficiency and reliability of the power grid.
Quantitative Researcher
We are looking for a Quantitative Researcher to join the research group at SESCO. You will join a team that is responsible for the effective creation, implementation, configuration, and maintenance of systems (software and environments) related to quantitative analysis and forecasting in the US Power Markets.
Role Responsibilities
As a Quantitative Researcher, you will
- Work to solve complex quantitative and technical problems in collaboration with a team of skilled quantitative researchers.
- Work in an iterative and highly dynamic environment that encourages collaboration and continuous improvement.
- Combine software development expertise with mathematical and optimization techniques to develop statistical and simulation-based models for forecasting.
- Create and maintain systems that integrate structured and semi-structured data into robust models used for scenario analysis and probabilistic outcomes.
Our Approach
At SESCO we embrace a hacker mindset to develop elegant, efficient, and impactful solutions to real-world challenges in energy markets.
- Problem-Solving: We thrive on solving tough problems with creativity and rigor.
- Collaboration: We value a highly collaborative environment that blends diverse expertise.
- Innovation: Electricity markets demand innovative solutions to account for incomplete information and complex dynamics.
Qualifications
- PhD in a technical discipline (e.g., Computer Science, Mathematics, Statistics, Physics, Economics, Engineering) or equivalent professional experience with progressive responsibilities.
- Strong foundation in linear algebra, probability, and statistics. A working knowledge of machine learning techniques preferred.
- Expertise in Python and related ecosystem (e.g., NumPy, Pandas, Numba, SciPy, Streamlit, etc.).
- Competency in standard software engineering practices.
- Proven ability to design and implement mathematical models and handle large, complex, and heterogenous datasets.
- Demonstrated success in transforming research into actionable insights and analysis.
- An emphasis on practicality and delivering working and robust systems.
- Understanding of origination, trading exposure, and financial implications and familiarity with power markets preferred but not required.
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