Hybrid Quantitative Researcher — Low-Latency ML & Trading

Warmada; Chicago (IL); On-site; USD 150,000 - 250,000; Full time

Benefits offered by this job

Generous paid time off

Hybrid working opportunities

Free breakfast, lunch, and snacks

In-office wellness reimbursement

Company-sponsored sports and fitness

Volunteer opportunities

Social events and learning workshops

Savings plans and financial wellness

Job summary

Tower Research Capital, a leading quantitative trading firm in Illinois, is seeking an experienced Quantitative Researcher/Developer to design and implement ultra-low latency strategies, ML models, and market-data tools. You will work on high-performance infrastructure and collaborate with trading and engineering teams.

The role requires onsite presence 3+ days/week and a strong background in math, statistics, and programming.

Qualifications

• Bachelor’s degree in Mathematics/Statistics/CS or related field.
• Five years of experience as a Quantitative Researcher or Quantitative Developer or related occupation.
• At least 3 years of experience with machine learning modeling.
• Experience in low-latency trading environments.
• Familiarity with CME microstructures and market data protocols.

Responsibilities

• Creating analysis tools to research trading opportunities from market data, identifying latency requirements, alpha horizons, and PNL impact
• Developing, augmenting and calibrating exchange simulators to faithfully replay these market events
• Researching market microstructure
• Creating high to mid frequency alphas from market data
• Profiling performance of existing ultra-low latency trading strategies
• Researching, designing, implementing, and deploying new ultra-low latency trading strategies
• Creating post-trade tools to monitor trading performance and competitiveness
• Must be able to work onsite at the corporate office 3 or more days per week

Skills

Machine learning modeling

Low latency trading

Mathematics and statistics

C++

Python

CME microstructures

Financial instruments

Education

Bachelor's degree in Mathematics, Statistics, Computer Science or related field

Job description

Tower Research Capital, a leading quantitative trading firm in Illinois, is seeking an experienced Quantitative Researcher/Developer to design and implement ultra-low latency strategies, ML models, and market-data tools. You will work on high-performance infrastructure and collaborate with trading and engineering teams.

The role requires onsite presence 3+ days/week and a strong background in math, statistics, and programming.