Quantitative Researcher
Amplify Renewables · Energy Trading
unknown
Salary Range (USD)
$200k - $375k
Location
San Francisco or Seattle, USA
Visa Support
Not mentioned
Funding Stage
bootstrapped
Job Responsibilities
- • Work closely with the founders to build out expansion in the US focusing on PJM
- • Own end-to-end research projects including idea generation, testing, communication, and implementation
- • Develop quantitative trading algorithms for energy markets
Required Skills
3+ years experience trading virtuals/PTPs/FTRs on US ISOs (PJM preferred)Fluent Python skills (e.g., NumPy, pandas, matplotlib)Fluency with statistics (sampling, biases, t-stats)Crisp written communication
Engineering Culture & Tech Stack
PythonNumPypandasmatplotlib
process oriented
team-first
deep-work focused
async-heavy
ownership
Raw Post
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Amplify Renewables | Quantitative Researcher | SF / Seattle / US | Hybrid (Remote Possible) | Full-Time | $200k - $375k (all cash) | https://www.amplifyrenewables.com
We're a systematic energy trading company trading virtuals and PTPs across the US. We are hiring a mid-level quantitative researcher; the ideal candidate is process oriented and has a team-first approach. You would work closely together with the founders to build out our expansion in the US with focus on PJM. Our team is ex-D.E. Shaw, Optiver, and Stanford. We're bootstrapped, profitable, and growing. Compensation is all-cash and paid from company profits, not venture funding.
What we're looking for:
- 3+ years of experience trading virtuals/PTPs/FTRs on US ISOs (experience with PJM strongly preferred)
- Fluent Python skills (e.g. numpy, matplotlib, pandas, or similar)
- Fluency with statistics (e.g., sampling, biases, t-stats)
- Crisp written communication — we're deep-work focused and async-heavy
Nice to have: experience with LLM-assisted development, experience building quantitative trading algorithms
Hybrid, based in San Francisco or Seattle. Fully remote US-based exceptions can be made if the candidate is a particularly strong/good fit. Candidates are expected to work in person 3 days a week.
Apply: email hiring@amplifyrenewables.com with resume + an (optional) short note on a research project you’ve owned end-to-end; we’re interested in how you generated the idea, tested it, communicated to others, and implemented it. Please mention HN.
Search terms: quantitative trading, energy, power markets, ISO, forecasting, electricity, PJM
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