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FND

Quantitative Researcher

Very High Demand$150K – $500K+
Quantitative Researchers are the scientists of the trading world. They form hypotheses about market behavior, test them rigorously using historical data, and develop mathematical models that capture genuine market inefficiencies. This role demands deep statistical knowledge, creative problem-solving, and ruthless intellectual honesty — because the market punishes overfit models without mercy. At firms like Two Sigma, Citadel, and Renaissance Technologies, quant researchers are the primary drivers of alpha generation. They work at the intersection of finance theory, statistics, and computer science to find edges that survive out-of-sample testing.
8
Core Skills
9
Key Tools
10
Lessons
6
Career Stages

A Day in the Life

Your morning starts with checking overnight model performance and scanning for regime changes. By 10am, you're deep in a Jupyter notebook testing a new signal hypothesis — maybe Hurst exponent interactions with volume profile. After lunch, you present your latest walk-forward results to the team: "87% OOS retention, PBO = 0.11." The PM nods. Your signal gets added to the production pipeline. You spend the afternoon reading three new papers from arXiv on regime detection.

Core Skills

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Hypothesis Testing
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Time Series Analysis
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Factor Models
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Bayesian Inference
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Walk-Forward Optimization
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Cross-Validation
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Feature Engineering
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Signal Processing

Tools & Technologies

PythonRSQLJupyterpandasscipystatsmodelsscikit-learnXGBoost

Prerequisites

Statistics & Probability
Linear Algebra
Python Programming
Financial Markets Basics

Career Progression

Junior Quant Researcher
Quant Researcher
Senior Quant Researcher
Lead Researcher
Head of Research
CIO

Curriculum

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