Posting record
Open 17+ days
- BlackEdge Capital'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 BlackEdge Capital, so its true age is longer.
Last checked Nov 3, 2026.
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Upload your resumeWhat 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.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
If you are looking to join a small, dynamic, growing firm in the financial technology sector, you have come to the right place. BlackEdge has built a strong foundation of success as an industry leading market maker in the treasury options space. Now we need talented people like you to build on that foundation by further improving and leveraging our existing success to expand into new markets.
The Role
We’re seeking a Quantitative Researcher to tackle challenging, longer-term problems that drive our trading strategies forward. Unlike the fast-paced, short-cycle puzzles solved by our quantitative traders, you’ll dive into ambiguous problems that require deep mathematical intuition, independent research, and creative model development. Your work will transform sometimes vaguely defined trading challenges into practical, sophisticated solutions that enhance our firm’s edge.
Key Responsibilities
- Formulate and solve complex problems in options pricing, risk management, or market dynamics, often with time horizons spanning weeks to months.
- Develop robust, data-driven models that balance theoretical rigor with practical application, using mathematical and statistical techniques.
- Collaborate with traders to understand their high-level needs, translating problem descriptions into actionable research questions.
- Conduct independent research to identify novel approaches, leveraging academic literature, market data, or proprietary datasets.
- Prototype and iterate on solutions, ensuring they are implementable within our low-latency trading systems.
- Present findings and recommendations to trading and technology teams, fostering a culture of knowledge-sharing.
A final note about our culture: we are pursuing excellence in trading. We want to be the best market makers in each product we trade and are relentless in our pursuit of incremental improvement. Every day is an opportunity to get a little bit better. Everyone here takes deep pride and ownership in what they do. The buck doesn't get passed along, it stops with you.
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