Risk Analyst (Remote)

Unlock Employer

Posted Jun 8, 2026

Remote · US · Canada · Puerto Rico · UK · Australia · New Zealand · Mexico · Argentina Part Time
$150/hr

Overview

This role involves evaluating AI-generated financial content to improve AI models through human expertise. The position is remote and open to candidates located in the United States, Canada, Puerto Rico, United Kingdom, Australia, New Zealand, Mexico, and Argentina.

Responsibilities

  • Evaluate AI-generated content related to financial analysis, investments, risk, and markets
  • Develop prompts and questions to test AI reasoning on finance topics
  • Review and rank AI responses based on factual accuracy, depth, and domain rigor
  • Audit AI chain-of-thought reasoning on quantitative and analytical problems

Requirements

Candidates should have professional experience in one or more of the following areas:

  • Financial analysis, investment research, equity research, or portfolio analysis
  • Quantitative finance, financial engineering, or quantitative modeling
  • Risk analysis, credit risk, market risk, or model validation
  • Investment research, asset management, hedge funds, or trading firms
  • Economics, econometrics, statistics, applied mathematics, operations research, or stochastic modeling with a focus on finance or markets

Preferred Qualifications

  • Bachelor's, Master's, or PhD degree in Finance, Financial Engineering, Economics, Statistics, Mathematics, Operations Research, or a related quantitative field
  • Strong written English skills with the ability to explain finance concepts clearly and precisely

Compensation & Schedule

  • Hourly rate of $150, varying based on domain expertise, project complexity, and seniority; higher rates reserved for PhD holders and senior practitioners
  • Fully remote position with no minimum hours, fixed schedule, or commitment required

Equal Opportunity

Selection decisions are based solely on skills, qualifications, and project requirements. The engagement practices are inclusive and fair, considering all qualified applicants without regard to legally protected characteristics.

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