Alignerr
Quantitative Analyst (Quant) – Alignerr
San Francisco, CA Pay Range:
$40.00/hr – $80.00/hr 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 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 Seniority level
Entry level Employment type
Contract Job Function
Research, Analyst, and Information Technology Industries
Technology, Information and Internet
#J-18808-Ljbffr
San Francisco, CA Pay Range:
$40.00/hr – $80.00/hr 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 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 Seniority level
Entry level Employment type
Contract Job Function
Research, Analyst, and Information Technology Industries
Technology, Information and Internet
#J-18808-Ljbffr