Quantitative Trading Analyst
Sesco
Pittsburgh, PA · Posted September 12, 2026
Just laid off? Start here: a plan for the first weeks
More in Pennsylvania job market · Energy & Utilities · Investment jobs
More roles at Sesco
- Software Engineer · Pittsburgh, PA
Similar jobs
- Associate, Senior Quantitative Analyst · Nomura Holdings · Philadelphia, PA
- Senior Research Analyst · Arbor Research Collaborative for Health · Philadelphia, PA
- Senior Analyst, Data Solutions - Comcast Global Audit · Comcast · Philadelphia, PA
- Research Analyst, Private Wealth · Glenmede · Philadelphia, PA
- Vice President, CM Quantitative Research · PennyMac Financial Services · Westlake Village, CA
- Laboratory Research Analyst II · Duke University · Durham, NC
Where Pittsburgh, PA ranks
Where Pittsburgh, PA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #2Best all-round cities for new graduates in the Northeast66 / 100 · of 26
- #3Best cities for software and engineering jobs in the Northeast327 openings · of 52
- #3Best all-round cities for new graduates in the Mid-Atlantic65 / 100 · of 37
- #4Cities with the most jobs that do not need a four-year degree in the Northeast154 jobs · of 36
- #4Cities with the most jobs that do not need a four-year degree in the Mid-Atlantic154 jobs · of 47
- #4Cities hosting the most business conferences in the Northeast14 conferences · of 9
How AI is used in this kind of work
Among financial specialists, all other, AI is already used for some of the tasks. Measured exposure for financial specialists, all other: 22% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
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 Trading Analyst
We are seeking a highly skilled Quantitative Trading Analyst to join our team. In this role, you will be responsible for deploying trading solutions, developing strategies, and optimizing portfolio construction in electricity markets. The ideal candidate will possess a strong background in quantitative analysis, computer science and programming, and deep research skills.
As a Quantitative Trading Analyst, you will:
Work to solve complex quantitative and technical problems in collaboration with a team of skilled traders and 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 trading, investment decisions, and 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 electricity 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
Undergrad or master's in a technical discipline (e.g., Mathematics, Statistics, Physics, Economics, Engineering) or equivalent professional experience with progressive responsibilities.
Strong foundation in probability and statistics, with working knowledge of machine learning techniques preferred.
Expertise in Python and related libraries (e.g., NumPy, Pandas, SciPy, Dask, Ray, Streamlit).
Proven ability to design and implement mathematical models and handle large, complex datasets.
Experience managing multiple projects in a fast-paced, dynamic environment.
Understanding of origination, trading exposure, and financial implications and familiarity with power markets preferred but not required.