Quant Researcher - Alpha Signals & ML (On-Site Chicago)

Aleto; Chicago (IL); On-site; USD 125,000 - 190,000; Full time

Benefits offered by this job

Equity package

Remote flexibility

Job summary

Aleto in Chicago is seeking a quantitative researcher to analyze diverse financial data, build predictive models, and develop alpha signals. The role emphasizes rigorous testing of ideas and backtesting of investment strategies, with opportunities to explore new alpha opportunities across asset classes.

The position requires strong Python programming skills, an advanced quantitative degree, and the ability to clearly communicate complex concepts within a collaborative, high-performing team

Qualifications

• Experience with data-driven research in finance or markets.
• Strong Python programming skills.
• Advanced degree in a quantitative discipline from a top university.
• Analytical problem-solving in statistical prediction tasks.
• Interest in developing systematic trading products.
• Knowledge of financial assets and market mechanisms.
• Ability to communicate complex ideas clearly.
• Machine learning modeling experience.

Responsibilities

• Explore and research a vast variety of financial data sets, perform statistical analysis and apply mathematics/machine learning models to predict statistical market patterns.
• Understand financial assets and trading market mechanisms; construct alpha signals and test ideas using rigorous methods.
• Perform back testing on investment strategies and verify underlying assumptions for reliable conclusions.
• Proactively identify new alpha opportunities across asset classes and market conditions.
• Collaborate with quant team members and develop research infrastructures and data processing tools.

Skills

Data-driven research

Python

Analytical problem-solving

Systematic trading

Financial markets

Communication

Machine learning

Education

Advanced degree in quantitative field

Job description

Aleto in Chicago is seeking a quantitative researcher to analyze diverse financial data, build predictive models, and develop alpha signals. The role emphasizes rigorous testing of ideas and backtesting of investment strategies, with opportunities to explore new alpha opportunities across asset classes.

The position requires strong Python programming skills, an advanced quantitative degree, and the ability to clearly communicate complex concepts within a collaborative, high-performing team