AI-Driven Quant Trader: Build & Run Systematic Strategies

DTG Finance & Capital Markets; United States; On-site; USD 140,000 - 230,000; Full time

Job summary

DTG Finance & Capital Markets seeks a highly skilled researcher-designer for AI-driven trading systems. The role focuses on researching signals from market and alternative data, and building systematic strategies where ML drives decisions rather than discretionary trading.

You will design, test, deploy, and improve the trading system, running large-scale backtests and live deployments while monitoring performance across regimes.

Qualifications

• Master's degree or higher in a quantitative field (CS/Math/Statistics/Finance).
• Strong background in ML with applications to time-series data.
• Experience turning research into production trading systems.

Responsibilities

• Researching signals using market and alternative datasets.
• Designing systematic trading strategies driven by ML outputs.
• Running large-scale backtests and robustness checks.
• Deploying models into live trading systems and monitoring performance.

Skills

Machine Learning

Systematic Trading

Quantitative Research

Financial Time-Series Data

Research & Production Code

Python

Education

Master's degree in CS/Math/Statistics/Finance

Tools

Python

Pandas

NumPy

Job description

DTG Finance & Capital Markets seeks a highly skilled researcher-designer for AI-driven trading systems. The role focuses on researching signals from market and alternative data, and building systematic strategies where ML drives decisions rather than discretionary trading.

You will design, test, deploy, and improve the trading system, running large-scale backtests and live deployments while monitoring performance across regimes.