Algorithmic Trader & Research Architect

Risk Hub; New York, Chicago, Las Vegas (NY, IL, NV, OH); Hybride; USD 120 000 - 200 000; Plein temps

Avantages offerts par ce poste

Generous paid time off

Hybrid working opportunities

Free meals

Wellness reimbursements

Team events

Résumé du poste

Tower Research Capital is a leading quantitative trading firm known for its high-performance platform and independent trading teams. We design and deploy algorithmic strategies using in-house trading systems, emphasizing low-latency, FPGA tech, and ML.

Our global offices enable scalable research and risk-managed trading. As a Quant Trader/Researcher you will develop strategies based on market patterns, validate ideas with data, and contribute to reusable libraries and simulators in a

Qualifications

• Bachelor's, Master's or PhD in Mathematics, Statistics, Computer Science or equivalent STEM degree.
• Experience in quantitative trading is preferred but not a requirement.
• Strong background in mathematics and statistics.
• Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation and PCA).
• Solid data-mining and analysis skills with large data/tick data.
• Familiarity with signal generation and statistical models.
• Strong programming skills in Python or C++.

Responsabilités

• Designing, implementing and deploying trading algorithms.
• Researching high to mid frequency alphas.
• Exploring trading ideas by analyzing market data, market microstructure and alternate data for patterns.
• Creating tools to analyze data for patterns and developing data platforms.
• Contributing to libraries of analytical computations to support market data analysis and trading.
• Developing, augmenting and calibrating exchange simulators.

Connaissances

Python

C++

Mathematics

Statistics

Data-mining

Formation

Bachelor's/Master's/PhD in Math, Statistics, Computer Science

Outils

Back-testing framework

Data analysis libraries

Git

Description du poste

Tower Research Capital is a leading quantitative trading firm known for its high-performance platform and independent trading teams. We design and deploy algorithmic strategies using in-house trading systems, emphasizing low-latency, FPGA tech, and ML.

Our global offices enable scalable research and risk-managed trading. As a Quant Trader/Researcher you will develop strategies based on market patterns, validate ideas with data, and contribute to reusable libraries and simulators in a