Execution Trader, Factor and Portfolio Risk

About the Role

Interval Partners is a multi-billion-dollar alternative investment firm located in midtown Manhattan. We are seeking a high-caliber execution trader with factor research & portfolio risk experience to join our trading team. This is a hands-on, dual-function role: you will actively trade alongside the team while contributing to factor research, signal development, and systematic portfolio risk management. The ideal candidate is intellectually rigorous, comfortable in live markets, and capable of moving fluidly between model-building and execution.

Responsibilities:

Trading & Execution

• Execute equity trades across multiple sectors with efficiency and sound judgment.
• Monitor intraday market dynamics, order flow, and liquidity conditions.
• Monitor position sizing, entry/exit timing, and trade-level risk in real time.
• Collaborate with the team on opportunistic and tactical trade ideas.

Factor Research & Alpha Generation

• Research, develop, and refine systematic alpha factors — momentum, mean reversion, carry, volatility, and others.
• Become the Arcana software specialist and assist with future data architecture of potential data lake, trading, and risk buildout.
• Build and maintain back-testing infrastructure to validate signal quality and evaluate factor decay.
• Develop expertise in factor crowding analysis on both the long and short side — identifying crowded positioning, measuring crowding risk, and sizing accordingly to avoid unwind exposure
• Construct momentum setups across timeframes — identifying entry conditions, signal strength, and regime filters that define when momentum is reliable versus at risk of reversal.
• Translate market intuition into testable, repeatable models

Portfolio Risk & Monitoring

• Support construction and maintenance of systematic portfolios using optimization techniques (mean-variance, risk parity, etc.).
• Monitor correlation, concentration, and exposure across positions and factors.
• Distribute morning portfolio risk grids and respond to portfolio manager questions.
• Apply and track portfolio constraints, including sector limits, liquidity filters, and turnover targets.
• Produce regular portfolio attribution and factor performance reporting for senior review.

Required Skills

• 3–5 years of experience in a quantitative trading, systematic investment, or closely related role
• Demonstrated ability to back-test and evaluate portfolio strategies.
• Strong proficiency in Python; experience with C or R is a plus.
• Solid understanding of factor-based investing, portfolio optimization, and market microstructure.
• Hands-on experience with back-testing frameworks and quantitative research workflows.
• Strong quantitative background — statistics, probability, linear algebra, stochastic processes.
• Ability to work independently and take ownership of outcomes in a lean, fast-moving environment.

Preferred Skills

• Experience at a hedge fund, proprietary trading firm, or systematic asset manager.
• Hands-on experience with Arcana systems and EZE OMS order routing workflows.
• Familiarity with Wolfe models and their application in identifying price targets and reversal setups.
• Familiarity with execution algorithms, TCA, and order management systems.
• Exposure to alternative data sources and their integration into systematic signals.

This is a fully onsite role based in our Midtown office. Benefits: Full medical & vision, 401k. Compensation range is 130k-155k.