Quantitative Researcher

Tower Research Capital•Chicago, IL

22h•Hybrid

About The Position

Tower Research Capital is a quantitative trading firm founded in 1998. It operates a high-performance trading platform and provides independent trading teams with the scale and resources of a global organization. The firm invests in trading, engineering, research infrastructure, and business support. The Quantitative Researcher develops research tools and strategies using market data, studies market microstructure, and evaluates trading performance. The role requires working onsite at the corporate office at least three days per week.

Requirements

Bachelor’s degree or foreign equivalent in Mathematics, Statistics, Computer Science, or a related field.
Five years of experience in a Quantitative Researcher or Quantitative Developer position, the job offered, or a related occupation.
Three years of experience with machine learning modeling.
Experience with low-latency trading.
Knowledge of mathematics and statistics, specifically machine-learning techniques that deal with large data sets.
Knowledge of financial instruments and their derivatives.
Knowledge of CME microstructures and market data protocol.
Experience with Python for scientific computing.
Experience with C++ for designing patterns and template meta-programming.

Responsibilities

Create analysis tools to research trading opportunities from market data, identifying latency requirements, alpha horizons, and PNL impact.
Develop, augment, and calibrate exchange simulators to faithfully replay market events.
Research market microstructure.
Create high- to mid-frequency alphas from market data.
Profile the performance of existing ultra-low-latency trading strategies.
Research, design, implement, and deploy new ultra-low-latency trading strategies.
Create post-trade tools to monitor trading performance and competitiveness.
Work onsite at the corporate office three or more days per week.