Compensation: Depends on experience, location, and employment format: 1,500.00 - 2,000.00 USD / Monthly

About the Role
We are building a quantitative research platform for systematic investing across integral financial markets.

Our goal is to discover persistent statistical edges using data, mathematics, software engineering, and rigorous scientific methods.

We develop our own research infrastructure, including market data pipelines, backtesting systems, factor research tools, portfolio construction methods, monitoring systems, and live trading integrations.

This is not a conventional software engineering or data science role.

You will spend most of your time formulating hypotheses, designing experiments, analysing results, challenging assumptions, and determining whether an investment idea survives rigorous statistical testing.

Many ideas will fail. Understanding exactly why they fail is an essential part of the work. We optimise for scientific rigour, reproducibility, and quality of reasoning—not for shipping features as quickly as possible.

What You’ll Do




Research quantitative investment signals and alpha factors.
Formulate hypotheses about market behaviour.
Design experiments to test those hypotheses.
Analyse large historical financial datasets.
Build reproducible research workflows in Python.
Evaluate predictive signals using statistical methods.
Calculate and interpret metrics such as information coefficient, turnover, drawdown, volatility, and risk-adjusted return.
Build and validate backtests.
Detect and eliminate look-ahead bias, survivorship bias, selection bias, overfitting, and data leakage.
Perform robustness, sensitivity, and out-of-sample testing.
Reproduce and extend ideas from academic papers.
Investigate why promising strategies stop working.
Improve data pipelines, research infrastructure, and automation.
Help move successful research ideas from notebooks into production.
Work directly with the founder on research priorities, platform archite

📌 Junior Quantitative Analyst (Argentina)
🏢 inbybob_
📍 Argentina