chenggar
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 [email protected] 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
We're a systematic energy forecasting and trading company working to make the grid more predictable and reliable. We ingest a lot of messy, heterogeneous data (market, generator, weather, outage) and build models to forecast it. You would work closely together with the founders and take over the technical direction for our data systems end-to-end. 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:
- 4+ years shipping and maintaining software
- Strong Python skills (writing, maintaining, packaging)
- Experience with multiprocessed and HPC workloads
- Crisp written communication — we're deep-work focused and async-heavy
Nice to have: data lake / Parquet architectures, Rust (esp. PyO3 extensions)
Remote-first. We meet in person multiple times a year. Non-US candidates welcome if you can overlap 4+ hours with PST.
Apply: email [email protected] with resume + an (optional) short note on a data platform problem you've owned. Please mention HN.
Search terms: data platform, data engineering, Python, Rust, Parquet, HPC, energy, power markets, ISO, forecasting, trading, Polars