Quantitative Researcher: Alpha Signals for Live Trading

Goliath Partners Inc.; New York (NY); Remote; USD 900,000 - 1,100,000; Full time

Job summary

Goliath Partners Inc. is seeking a Quantitative Researcher to join a leading systematic trading team. You will build original alpha signals, develop predictive models, and push research from hypothesis through backtesting and live deployment.

You’ll apply advanced statistics and ML for short-horizon forecasting on equities and futures, evaluate signals against costs and market impact, and collaborate with fellow researchers to turn findings into scalable trading strategies.

Qualifications

• 1-7 years of quantitative research experience with contributions to equities alpha or systematic strategies.
• Experience building predictive models from scratch for financial markets.
• A research publication record with an h-index of 10 or higher.
• Strong Python skills; C++ experience is a plus.
• Bachelor’s, Master’s, or PhD in CS, Applied Mathematics, Statistics, Engineering, or related discipline.

Responsibilities

• Develop original alpha signals and predictive models, from initial hypothesis through backtesting and live deployment.
• Apply statistical and ML techniques to short-horizon forecasting across equities and futures.
• Evaluate signals against transaction costs, market impact, and out-of-sample robustness.
• Work closely with fellow researchers to turn promising findings into systematic trading strategies.

Skills

Python

C++

Machine Learning

Statistics

Education

CS/Applied Mathematics/Statistics/Engineering degree

Tools

Backtesting frameworks

Job description

Goliath Partners Inc. is seeking a Quantitative Researcher to join a leading systematic trading team. You will build original alpha signals, develop predictive models, and push research from hypothesis through backtesting and live deployment.

You’ll apply advanced statistics and ML for short-horizon forecasting on equities and futures, evaluate signals against costs and market impact, and collaborate with fellow researchers to turn findings into scalable trading strategies.