Tower Research Capital

Quantitative Trader / Researcher - APAC

Tower Research Capital

Sydney, New South Wales, Australia · Full Time

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Experience
Any
Salary
—
Openings
1
Posted
1 day ago
Work mode
In office
Education
Bachelors or higher in STEM
Resume
Required to apply

Where you'll work

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Job description

About Tower Research Capital

Established in 1998, Tower Research Capital is a premier quantitative trading firm known for its high-performance platform and independent trading teams. With over 25 years of innovation, Tower has a strong reputation for uncovering unique market opportunities worldwide.

Our firm is a hub for top-tier systematic trading and engineering experts who enjoy autonomy to develop their teams and strategies while benefiting from the resources of a large international organization.

Engineering professionals at Tower tackle advanced challenges involving low-latency programming, FPGA technology, hardware acceleration, and machine learning, supported by continuous investments that ensure our platform's unmatched scalability, functionality, and speed.

Every team member plays a critical role in our success, especially those in Business Support who provide essential infrastructure spanning market access, data processing, risk management, compliance, and essential business services, empowering our trading and engineering divisions to excel.

Role Overview

As a Quantitative Trader / Researcher within one of Tower's trading teams, you will leverage our proprietary, among the fastest and most comprehensive trading systems globally, to create and execute algorithmic trading strategies grounded in market behavior analysis.

Responsibilities

  • Conceptualize, develop, and implement algorithmic trading strategies
  • Investigate and identify high to mid-frequency trading signals
  • Analyze market data, including microstructure and alternative sources, to detect trading patterns
  • Build analytical tools and data platforms to assess market data
  • Enhance analytical computation libraries supporting trade analytics
  • Develop and refine exchange simulation tools for strategy calibration

Qualifications

  • Degree in Mathematics, Statistics, Computer Science, or a related STEM field (Bachelors, Masters, or PhD)
  • Prior experience in quantitative trading is advantageous but not mandatory
  • Strong foundation in mathematics and statistics
  • Proficient in back-testing, simulations, and statistical analyses including auto-regression, auto-correlation, and Principal Component Analysis
  • Expertise in large data set analysis and data mining, particularly with tick data
  • Knowledge of signal generation methodologies and statistical modeling
  • Advanced programming skills in Python or C++

Benefits

  • Generous paid time off
  • Access to savings plans and financial wellness resources depending on region
  • Options for hybrid work arrangements
  • Complimentary breakfast, lunch, and snacks available daily
  • Wellness programs including in-office initiatives and reimbursements for gym or personal training expenses
  • Participation in company-sponsored sports teams and fitness events
  • Opportunities for volunteering and charitable initiatives
  • Regular social gatherings, happy hours, and celebrations
  • Continuous professional development through workshops and learning sessions

Culture and Inclusion

Tower fosters a collaborative, ego-free workplace with a diverse workforce focused on both excellence and enjoyment. Our environment values openness, respect, and teamwork without unnecessary hierarchy.

Tower Research Capital is proud to be an equal opportunity employer dedicated to inclusive hiring practices.

Minimum education

Bachelor's Degree

How they work

Teamwork & Collaboration Problem Solving Adaptability Creativity Results Orientation

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