Quantitative Trader / Researcher - APAC

About Tower Research Capital

Founded in 1998, Tower Research Capital is a leading quantitative trading company recognized for its high-performance trading platform and autonomous trading teams. With over 25 years of continuous innovation, Tower is renowned for identifying unique opportunities in the financial markets.

Our workforce comprises some of the top systematic trading and engineering experts globally. We support portfolio managers to independently develop teams and trading methods while offering the collective advantages of a vast international organization. Engineers at Tower work on cutting-edge electronic trading infrastructures, tackling complex issues in areas such as low-latency programming, FPGA technology, hardware acceleration, and machine learning. We continuously invest in elite engineering capabilities and technological advancements to maintain an industry-leading platform in functionality, scalability, and performance.

Every employee contributes to Tower’s success. Our Business Support teams are integral in creating and sustaining the infrastructure that underlies our operations, integrating market access, data, computation, research platforms, risk management, compliance, and various business services. These teams empower our trading and engineering personnel to excel.

Role Overview

As a member of one of Tower’s trading units, a Quantitative Trader / Researcher leverages Tower’s proprietary, highly advanced trading system to develop and implement algorithmic strategies based on market behavior patterns.

Key Responsibilities

• Design, implement, and launch algorithmic trading strategies.
• Conduct research focused on high to mid-frequency trading signals (alphas).
• Analyze market data, microstructure, and alternative data sources to identify actionable patterns.
• Build analytical tools and develop data platforms to support pattern analysis.
• Enhance and contribute to libraries used for market data and trading analytics.
• Create, improve, and calibrate exchange simulation models.

Qualifications and Skills

• Possession of a Bachelor’s, Master’s, or PhD in Mathematics, Statistics, Computer Science, or a comparable STEM field.
• Experience in quantitative trading is advantageous but not mandatory.
• Strong foundation in mathematics and statistical theory.
• Proficient with back-testing and simulation methods as well as statistical analysis techniques such as auto-regression, auto-correlation, and Principal Component Analysis.
• Demonstrated expertise in processing and analyzing large datasets, including tick-level data.
• Knowledge of signal generation and statistical modeling approaches.
• Excellent programming capabilities in Python or C++.

Additional Information

Tower’s main office is located in NYC’s historic Financial District, with a footprint spanning multiple global locations. The company champions a workplace where challenging tasks coexist with a supportive atmosphere free from egos, facilitated by an open-plan office, casual attire, and a friendly culture where great ideas prevail.

Benefits

• Ample paid time off policies.
• Financial planning and wellness programs tailored to regional locations.
• Opportunities for hybrid work arrangements.
• Complimentary breakfast, lunch, and daily snacks.
• Wellness experiences and partial reimbursement for gym memberships, personal training, etc.
• Company-sponsored sports teams and participation in fitness events.
• Engagement in volunteerism and charitable causes.
• Regular social gatherings, happy hours, and celebrations.
• Access to ongoing workshops and learning opportunities.

Equal Opportunity

Tower Research Capital maintains a diverse and welcoming culture, emphasizing teamwork and performance without hierarchical barriers or egos. The company is an equal opportunity employer.