Remotery

Quantitative Researcher

atqSparkRemoteUS flagUnited StatesFull-timeUncategorizedJuniorMid-level

Posted Jun 25

This is a fully remote position, open to applicants in United States.

πŸ“‹ Description

β€’ Conduct research, develop, and continually enhance quantitative trading signals within HFT and near-HFT timeframes, with a strong emphasis on high Sharpe, deployable strategies.

β€’ Design and execute thorough backtests that accurately reflect microstructure considerations: spread costs, venue behavior, print filtering, adverse selection, and realistic fill modeling β€” with the specific aim of ensuring performance that is viable in production, not merely theoretical.

β€’ Work collaboratively with portfolio managers and developers to transition validated research into production and enhance live strategies.

β€’ Regularly analyze live performance by breaking down P&L, identifying regime shifts, attributing slippage β€” and incorporate insights back into ongoing research.

β€’ Gradually take on greater levels of research leadership, including mentoring and guiding the direction for research cycles.


⛳️ Requirements

β€’ A minimum of 2 years of practical experience in quantitative research or strategy development within an electronic trading environment, demonstrating the ability to create high Sharpe strategies that thrive in live deployment.

β€’ Strong foundation in applied statistics: performance estimation, overfitting stress-tests, non-stationarity, and test design under real market constraints.

β€’ Proficient in Python for research; familiarity with C++ is a significant advantage.

β€’ Comprehensive understanding of market microstructure: TAQ data interpretation, venue differences, and short-term price dynamics.

β€’ Proven record of successfully transitioning research into live production β€” not limited to exploration.

β€’ Bachelor's or Master's degree in Mathematics, Statistics, Physics, Computer Science, Computational Finance, or a related quantitative field.


🏝️ Benefits

β€’ Competitive salary and performance-based bonuses.

β€’ Opportunities for professional development and continuous learning.

β€’ Collaborative and innovative work environment.

β€’ Comprehensive health and wellness benefits.

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