Labelbox
Role Overview
The Quantitative Analyst (Quant) develops, evaluates, and interprets quantitative models used for forecasting, optimization, and risk analysis. This role requires strong mathematical reasoning, comfort with structured datasets, and the ability to break down complex model behavior into clear explanations.
What You’ll Do
- Analyze model inputs, assumptions, and statistical validity
- Evaluate predictive model performance and identify unexpected behaviors
- Summarize quantitative findings in clear, structured formats
- Validate data pipelines, feature sets, and transformation logic
- Identify anomalies, inconsistencies, or areas requiring recalibration
- Support recurring evaluations of quantitative frameworks and simulation outputs
What You Bring
Must-Have:
- Background in quantitative finance, statistics, applied math, or data science
- Strong understanding of modeling techniques and statistical inference
- Ability to interpret complex model behavior and communicate it clearly
Nice-to-Have:
- Familiarity with Python, R, or quantitative modeling libraries
$40 - $80 an hour
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