Quantitative Researcher — ML, Algos & Market Data (Hybrid)

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

Benefits offered by this job

Generous PTO

Savings plans

Hybrid working

Free meals

Wellness reimbursements

Sports teams

Volunteer opportunities

Social events

Continuous learning

Job summary

Tower Research Capital is a leading quantitative trading firm with a 25+ year track record, based in New York. This role focuses on designing and deploying trading algorithms, researching high to mid-frequency alphas, and building data infrastructure to support market analysis.

Engineers leverage low-latency programming, FPGA, and machine learning to deliver a world-class trading platform. Expect a collaborative, performance-driven environment in NYC.

Qualifications

• PhD degree or foreign equivalent in Mathematics, Statistics, Computer Science, or related STEM field.
• Deep Learning (Neural Architectures), Generative Models or Reinforcement Learning.
• Applied Mathematics (Calculus, Linear Algebra, Optimization).
• Statistics (Interference, Signal Processing, Time-Series, Information Theory, Statistical Arbitrage).
• Back-testing, simulation, and statistical techniques (AR, auto-correlation, PCA).
• Data mining and analysis with large data/tick data.
• Signal generation and statistical models.

Responsibilities

• 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.
• Integrating market intuition and discretionary oversight to manage live execution.

Skills

Deep Learning

Generative Models

Reinforcement Learning

Applied Mathematics

Calculus

Linear Algebra

Optimization

Statistics

Time-Series

Information Theory

Statistical Arbitrage

Back-testing

Simulation

Auto-regression

Auto-correlation

PCA

Data Mining

Python

C++

Education

PhD in Mathematics

PhD in Statistics

PhD in Computer Science

Tools

Python

C++

Job description

Tower Research Capital is a leading quantitative trading firm with a 25+ year track record, based in New York. This role focuses on designing and deploying trading algorithms, researching high to mid-frequency alphas, and building data infrastructure to support market analysis.

Engineers leverage low-latency programming, FPGA, and machine learning to deliver a world-class trading platform. Expect a collaborative, performance-driven environment in NYC.