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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

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