Quantitative Analyst (Quant)

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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