Quantitative Researcher — ML & High-Frequency Trading (Hybrid)

Tradermath; New York (NY); Hybrid; USD 150,000 - 250,000; Full time

Benefits offered by this job

Hybrid work

Generous PTO

Wellness reimbursement

Fitness events

Volunteer opportunities

Social events

Job summary

Tower Research Capital, a leading quantitative trading firm, seeks a PhD-level engineer to design and deploy advanced trading algorithms in a high-performance environment. You will research alphas, analyze market data and microstructure, and build data platforms while calibrating simulators for live execution.

The role emphasizes deep learning, statistics, time-series analysis and scalable tooling in Python and C++, with a competitive New York salary and discretionary bonus potential.

Qualifications

• PhD or foreign equivalent in Mathematics, Statistics, Computer Science, or related STEM field.
• Strong background in deep learning, time-series, and statistical methods.
• Experience with large data sets and back-testing techniques.
• Proficiency in Python and C++ programming.

Responsibilities

• Designing, implementing and deploying trading algorithms.
• Researching high to mid frequency alphas.
• Analyzing market data, microstructure and alternative data for patterns.
• Creating tools to analyze data and developing data platforms.
• Developing libraries of analytical computations to support data analysis and trading.
• Developing and calibrating exchange simulators.
• Integrating market intuition to manage live execution.

Skills

Deep Learning

Applied Mathematics

Statistics

Time-Series Analysis

Data Mining

Python

C++

Education

PhD in Mathematics/CS/related STEM

Tools

Python

C++

Data Platforms

Job description

Tower Research Capital, a leading quantitative trading firm, seeks a PhD-level engineer to design and deploy advanced trading algorithms in a high-performance environment. You will research alphas, analyze market data and microstructure, and build data platforms while calibrating simulators for live execution.

The role emphasizes deep learning, statistics, time-series analysis and scalable tooling in Python and C++, with a competitive New York salary and discretionary bonus potential.