Home › Companies › Optiver › Quantitative Researcher – HFT Futures/Equities
Quantitative Researcher – HFT Futures/Equities
Optiver · Chicago, Illinois, United States · Active · $200,000–$200,000 / year · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | Optiver |
| Title | Quantitative Researcher – HFT Futures/Equities |
| Normalized title | - |
| Department / team | Quantitative Research |
| Location | Chicago, IL, United States |
| Work model | - |
| Employment type | - |
| Salary | $200,000–$200,000 / year |
| Status | active |
| ATS provider | Greenhouse |
| Posted / first seen | 2026-03-12 / 2026-05-29 |
| Changed / last seen | 2026-06-04 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Optiver. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Chicago. | Open |
| Department jobs | Active postings in Quantitative Research. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Optiver |
| Source | 871c174c-9a8d-46cd-a00a-519db0de0ce4 |
| ATS provider | Greenhouse |
Description
Optiver is seeking Quantitative Researchers to join our High-Frequency Trading (HFT) Team, where we run fully automated trading strategies powered by Machine Learning. As part of this high-impact, collaborative team, you’ll play a key role in developing, improving, and executing trading strategies, directly shaping our research and execution pipeline.
What you'll do:
Conduct alpha, signal, and feature research, developing models to enhance predictions and improve trading algorithms
Collaborate with peers to review research, solve complex problems, and refine trading strategies
Optimize research workflows to increase efficiency and effectiveness
Contribute to strategic discussions, helping shape the future direction of the business
What you'll get:
You’ll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets.
In addition, you’ll receive:
The opportunity to work alongside best-in-class professionals from over 40 different countries
A highly competitive compensation package
Global profit-sharing pool and performance-based bonus structure
401(k) match up to 50%
Comprehensive health, mental, dental, vision, disability, and life coverage
25 paid vacation days alongside market holidays
Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more
Who you are:
2+ years of quantitative research experience on a successful futures/equities trading team
Proven track record of developing profitable trading strategies, with strong analytical and mathematical skills
Experience in computationally intensive research
BS, MS, and/or PhD in a quantitative or technical field
Proficiency in programming languages (C++, C, Python, Java)
A highly collaborative team player, valuing diverse perspectives and building strong partnerships
A self-starter who takes initiative, sets ambitious goals, and proactively identifies opportunities for impact
Who we are:
At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilising the market no matter the conditions. With a focus on continuous improvement, we prioritise safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.
Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.
Below is the expected base salary for this position. This is a good-faith estimate of the base pay scale for this position and offers will ultimately be determined based on experience, education, skill set, and performance in the interview process. This position will also be eligible for a discretionary bonus (if determined by Optiver) and Optiver’s benefits package with the benefits listed above.
Base Salary Range $200,000 — $200,000 USD
Full job record
| Job ID | b83fbca4cb314e27c08de0d0d31e60bcb8ec31c9 |
| Org ID | f769ee6c-ad00-44c4-a830-9555685282a2 |
| Source ID | 871c174c-9a8d-46cd-a00a-519db0de0ce4 |
| Board ID | 871c174c-9a8d-46cd-a00a-519db0de0ce4 |
| Provider | greenhouse |
| Provider Job Key | 8440640002 |
| Title | Quantitative Researcher – HFT Futures/Equities |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Chicago, Illinois, United States |
| Department | Quantitative Research |
| Team | — |
| Employment Type | — |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | IL |
| City | Chicago |
| Salary Raw | Salary Range $200,000 — $200,000 USD |
| Salary Min | 200,000 |
| Salary Max | 200,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://www.optiver.com/join-us/jobs/8440640002/?gh_jid=8440640002 |
| Apply URL | https://www.optiver.com/join-us/jobs/8440640002/?gh_jid=8440640002 |
| First Seen At | 2026-05-29 23:00:52Z |
| Last Seen At | 2026-06-06 07:33:59Z |
| Last Checked At | 2026-06-06 07:33:59Z |
| Last Changed At | 2026-06-04 11:15:42Z |
| Inactive At | — |
| Source Posted At | 2026-03-12 19:11:16Z |
| Source Updated At | 2026-06-03 19:41:44Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=optiverus/date=2026-06-06/2026-06-06T07-33-59-416Z-8c2fe71c454900af4ca722179889b98211e5a59997f9aacdac212c7c49bc00be.json |
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