Quantitative Researcher - Execution Modeling

Location: New York, United States; hybrid work with flexible in-office days.

Base pay: $165,000–$300,000 per year, plus potential discretionary bonus and other compensation.

Company

hirify.global is a quantitative investment management and trading firm combining technology, artificial intelligence, data science, and quantitative research to identify market opportunities and generate alpha.

What you will do

• Optimize order scheduling and its interaction with trading tactics and portfolio optimizers.
• Improve execution simulation, including fill probability, adverse selection, and post-trade market impact.
• Research short-horizon signals from order book, quote, and trade data to improve tactics, order placement, and venue selection.
• Build market impact models across trading horizons from seconds to multiple days and across instruments with different liquidity profiles.
• Design and analyze production experiments, including A/B tests and execution performance metrics that distinguish improvements from market noise.
• Use internal order and fill history to discover execution alpha, take research into production, and collaborate with modeling, portfolio management, trading, investment, and research teams.

Requirements

• Formal quantitative training in statistics, applied mathematics, operations research, economics, computer science, physics, engineering, or a related quantitative field.
• 5–15 years of experience in execution research, algorithmic trading, market-making, or high-frequency trading at a financial firm.
• Deep understanding of market microstructure, including order types, venues, dark pools, queue dynamics, and market participant behavior.
• Hands-on experience with market impact modeling, transaction cost analysis, or execution simulation.
• Expertise with large intraday market datasets, including quotes, trades, and order books.
• Experience applying machine learning techniques to trading, execution, or modeling problems.
• Strong programming skills in Python, Java, or C++, along with data management and retrieval skills and literacy with Linux and LLM support.
• Effective written and verbal communication skills.
• Ability to own research end-to-end, from data gathering and hypothesis testing through production deployment and monitoring, in a fast-paced, team-oriented environment.

Nice to have

• PhD in a quantitative field.
• Experience with full order-by-order (L3) data.

Culture & Benefits

• Hybrid work policy with flexible in-office days and a budget for home office setup.
• Fully paid medical and dental insurance for employees and dependents, competitive 401(k) match, and employer-paid life and disability insurance.
• Onsite gyms with laundry service, wellness activities, casual dress, snacks, and game rooms.
• Tuition reimbursement and conference and training sponsorship.
• Generous vacation, unlimited sick days, and competitive paid caregiver leave.