A Financial Quantitative Analyst develops mathematical or statistical models used in the financial sector. Applies models and quantitative methods to analyze securities or other business data; provides analysis used to inform investment and trading strategies and manage risk.
Glenbrook Trading is an early-stage, mid-frequency quantitative trading firm based in Ann Arbor, Michigan. We are a multi-strategy proprietary trading house primarily focused on futures, equities, and options.
Our Backing:
We are backed by directors from the Options Clearing Corporation (OCC) and supported by an established team of operators. Our network provides us with additional regulatory guidance, and strategic partnerships that most early-stage firms lack.
Our Culture:
We are builders. We believe in intellectual honesty, rigorous research, and meritocracy. Glenbrook is not a giant fund with layers of bureaucracy, we are a lean team of specialists where your voice makes an impact.
The Opportunity & Compensation:
This is a founding role with the full autonomy to manage the research pipeline, mentor junior talent, and help the firm scale.
Compensation Disclaimer:
Glenbrook Trading is currently in its pre-seed phase and does not offer a traditional salary. Instead, this role provides: Equity vesting (ownership stake in the firm). Direct profit-sharing commission calculated from the net revenue generated by your deployed strategies (typically 6.5% - 10.5% of strategy P&L). Flexible schedule and remote-friendly work environment. This is not a conventional employment opportunity! It is a founding team invitation for a builder who wants to generate alpha, own their upside, and grow with the firm. Once the next funding round is secured (currently in active discussions), we anticipate converting to a traditional salary structure while you retain your equity and profit share. If you are looking for a steady paycheck, this role is not for you! If you are looking to join as a true partner, contribute to the growth of a quantitative startup, and be rewarded accordingly, this is your opportunity.
Role Overview:
Glenbrook Trading is seeking a Head of Quantitative Research to lead our quantitative research team and drive the evolution of our systematic trading strategies. In this leadership role, you will oversee strategy lifecycle management and design mid-frequency trading models. You will work closely with algorithm developers, junior researchers, and firm leadership to translate statistical research into scalable live market execution.
Key Responsibilities:
Architect, test, and deploy production-grade statistical and machine learning models to capture persistent edge across global markets (futures, equities, and options). Establish rigorous methodologies for backtesting, feature engineering, signal combinations, and market microstructure analysis. Manage portfolio construction, factor risk exposure, and dynamic position sizing to maximize risk-adjusted returns (Sharpe/Sortino) and portfolio capacity. Partner directly with algorithm developers to optimize signal execution pipelines, minimize implementation shortfall, and streamline live risk gates. Lead the development of internal research tooling, data ingestion workflows, and distributed backtesting frameworks. Mentor and manage junior researchers and undergrad interns to accelerate research velocity.. Represent the research team in firm-wide strategic decisions regarding market selection, product expansion, and capital allocation.
Qualifications & Requirements:
Industry Experience 2+ years of hands-on experience as a Quantitative Trader/Researcher or Portfolio Manager at a proprietary trading firm, quantitative hedge fund, investment bank, or asset manager. Education Master's or Ph.D. (strongly preferred) or Bachelor's in a STEM field (Computational Finance, Mathematics, Statistics, Physics, Computer Science, Electrical Engineering, etc.). Technical Skills Native proficiency in Python (NumPy, SciPy, Pandas, PyTorch/TensorFlow). Deep expertise in time-series analysis, stochastic calculus, machine learning, convex optimization, and market microstructure (order book dynamics, execution slippage modeling). Experience working with high-throughput event-driven backtesting systems and large-scale tick/market data processing. What Makes You a
Great Fit:
You are tired of the bureaucracy and politics of large funds. You want the freedom of generating and deploying your own strategies with the assistance from a team of direct reports. You are excited by challenges, solving complex market inefficiencies, and sharing the upsides of the growth. How to
Apply:
Send your resume and a brief cover letter (or GitHub/portfolio link) to info[at]glenbrooktrading.com or www.glenbrooktrading.com. We will reach out to qualified candidates for an initial technical screening and interview with our leadership team.
