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A firm is seeking a highly analytical and technically gifted Quantitative Researcher to join a high-frequency and/or mid-frequency trading team. In this role, you'll focus on refining features, designing better models, and advancing core research pipelines. You'll collaborate closely with other researchers and engineers to push the boundaries of what's possible in highly competitive electronic markets.
The ideal candidate is a curious, rigorous thinker with a strong technical foundation and a bias toward empirical validation. You enjoy working with data, building systems to understand it, and using that understanding to drive performance.
Responsibilities:
As a Quantitative Researcher, you will:
Why This Role Is Unique:
Research First - This role is research-heavy you'll be focused on signal improvement, model fidelity, and hypothesis generation, not plumbing infrastructure or devops.
Breadth and Depth - You'll work at every level of the alpha stack: from feature design and statistical modeling to optimizer tuning
Direct Feedback Loop - We deploy and iterate quickly. Your work will feed directly into live strategies and have measurable real-world impact
World-Class Environment - Join a high-talent, low-ego team with experience across elite trading firms, olympiads, and academic research
Core Qualifications:
Signals of Excellence:
Company Culture & Team Fit:
We're a close-knit team that values:
We hire people who love building, solving, and improving and who want to learn from and contribute to a team of exceptional peers.
Compensation & Benefits:
If you would be interested in hearing more about the position, then please do feel free to get in touch and I can give further details.
[Confidential Information]
The base pay for this role will be between $250,000 and $350,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans. Discretionary bonus and/or guaranteed package can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience
Job ID: 143822751