Home › Companies › Belvederetrading › Quantitative Researcher
Quantitative Researcher
Belvederetrading · Chicago, Illinois · On Site · Active · $140,000–$200,000 / year · Lever
Job facts
| Field | Value |
|---|---|
| Company | Belvederetrading |
| Title | Quantitative Researcher |
| Normalized title | - |
| Department / team | Trading / Quant |
| Location | Chicago, IL, United States |
| Work model | On Site |
| Employment type | Full Time |
| Salary | $140,000–$200,000 / year |
| Status | active |
| ATS provider | Lever |
| Posted / first seen | 2026-02-26 / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Belvederetrading. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Lever. | 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 Trading. | Open |
| Work model jobs | Active On Site postings. | 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 | Belvederetrading |
| Source | 5ebdd624-12da-4531-85c1-2ed345c8188d |
| ATS provider | Lever |
Description
Belvedere Trading is a leading proprietary trading firm. We are a team driven by intellectual curiosity, seeking answers that will change not only how we trade in this technological age, but also the future landscape of the trading industry.
Our traders provide liquidity to the market through their market-making activities and are the masters of a diverse set of commodities, interest rates, exchange-traded funds (ETF), and equity index options. Traders partner with our technologists to continually engineer and optimize our trading systems to stay on top of the industry.
Our traders provide liquidity to the market through their market-making activities and are the masters of a diverse set of commodities, interest rates, exchange-traded funds (ETF), and equity index options. Traders partner with our technologists to continually engineer and optimize our trading systems to stay on top of the industry.
Belvedere is searching for a Quantitative Researcher to join our Quant Research & Development team. The Quant R&D team works closely with both traders and developers to build algorithmic solutions from idea generation to roll out to increase the firm’s profitability. As a Quantitative Researcher, you will contribute directly to research, development, and implementation of models and tools that help drive automated decision‑making throughout the firm. Through your quant research, you will be an integral participant in Belvedere’s long-term growth by improving and expanding the firm’s existing trading strategies.
How We Operate - Core Values
Team Belvedere: Work seamlessly with others to achieve shared goals. Foster a positive and supportive environment that brings out the best in your teammates.
Me in Team: Focus on competing and succeeding at the highest level, constantly striving for excellence.
Own It: Actively address challenges and make decisions that drive positive results, taking ownership of both successes and failures.
Build Rockets: Bring forward bold, creative ideas and solutions. Be open to experimentation and willing to take calculated risks.
Passionate Discourse: Encourage and bring innovative, out-of-the-box ideas to discussions, actively contributing to team growth and progress.
Women and underrepresented groups frequently apply for jobs only if they meet 100% of the qualifications.
We encourage you to break that mold and apply. No candidate is perfect; all have a lot to offer. We welcome your application.
Our Stance
Belvedere is an Equal Opportunity Employer and is committed to providing a non-discriminatory employment environment for its employees. Discrimination against employees and applicants due to race, color, religion, sex, national origin, disability, age, military, and veteran status is prohibited. Belvedere encourages initiatives to increase diversity and provide equal opportunity to all applicants and employees. Belvedere is committed to providing a positive environment in which team members are treated with respect, dignity, and courtesy. Our firm believes in a dynamic culture of inclusion and diversity, where people thrive on individual and organizational characteristics, values, experiences, and backgrounds.
Please note that Belvedere Trading does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resumes will become the property of Team Belvedere. No phone calls, please.
Work Schedule: Regular and reliable attendance during business hours with the ability to be on-site prior to the start of business on occasion
Physical: Ability to remain at a desk and concentrate for long periods of time
Amount of Travel Required: None
What You'll Do
Work closely with traders to prioritize hypotheses, interpret results, and translate research into deployable trading strategies.
Design, test, and deploy quantitative models that drive pricing, risk, and execution in market-making and systematic trading.
Build, improve, and maintain research tools (e.g., Python, Jupyter) for testing, backtesting, validating, and monitoring models and strategies.
Collaborate closely with traders, technologists, and senior quantitative researchers to ensure strong alignment between research insights and production trading decisions.
Continuously monitor and enhance existing models and strategies, adjusting for market dynamics, data drift, and performance deviations.
Combine statistical rigor, market microstructure knowledge, and engineering fluency to deliver robust edge and provable PNL.
What You'll Need
Advanced degree (Master’s or PhD) in a quantitative field such as Mathematics, Statistics, Physics, Financial Engineering, or a related discipline.
2+ years of experience in quantitative research in trading or a related field.
Strong proficiency in Python or C++ for model research, prototyping, and production implementation; experience with version control and collaborative development workflows
Experience working with large datasets, statistical modeling, or algorithmic workflows.
Demonstrated ability to analyze model outputs and communicate results clearly to both technical and non-technical stakeholders. Strong collaboration skills with developers, traders, and other researchers in a fast-paced, iterative environment.
Intellectual curiosity, problem-solving ability, and a pragmatic approach to research that balances innovation with production impact.
Full job record
| Job ID | 8152ac73a38ec184fdf87a51ea3c7a1e4d23b985 |
| Org ID | 72469c16-8e1c-41ce-9016-b9b9f36386cb |
| Source ID | 5ebdd624-12da-4531-85c1-2ed345c8188d |
| Board ID | 5ebdd624-12da-4531-85c1-2ed345c8188d |
| Provider | lever |
| Provider Job Key | 0a19afb2-27d3-4a06-8600-5e4cd9b9744e |
| Title | Quantitative Researcher |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Chicago, Illinois |
| Department | Trading |
| Team | Quant |
| Employment Type | Full-Time |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | IL |
| City | Chicago |
| Salary Raw | USD 140000-200000 per-year-salary |
| Salary Min | 140,000 |
| Salary Max | 200,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://jobs.lever.co/belvederetrading/0a19afb2-27d3-4a06-8600-5e4cd9b9744e |
| Apply URL | https://jobs.lever.co/belvederetrading/0a19afb2-27d3-4a06-8600-5e4cd9b9744e/apply |
| First Seen At | 2026-05-29 07:00:25Z |
| Last Seen At | 2026-06-06 20:31:16Z |
| Last Checked At | 2026-06-06 20:31:16Z |
| Last Changed At | 2026-05-29 07:00:25Z |
| Inactive At | — |
| Source Posted At | 2026-02-26 21:12:40Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=lever/board=belvederetrading/date=2026-06-06/2026-06-06T20-31-16-226Z-d2c5b86eea932a7fbca7553ceebd2664fa0f631118b34ad4f1eaf9d6bbaa4b68.json |
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