Quantitative Finance Forecasting Analyst

Overview

This role involves evaluating and validating AI-generated predictive models in quantitative finance to ensure their logic, assumptions, and outputs are accurate and meaningful. The position is a fully remote, flexible contract opportunity suited for finance and data professionals with strong analytical skills.

Responsibilities

• Review and assess quantitative model outputs and underlying data inputs
• Validate forecasting assumptions and identify key drivers behind predictions
• Summarize expected trends and performance scenarios clearly and precisely
• Detect anomalies, inconsistencies, or logical gaps in structured financial data
• Deliver structured findings using standardized evaluation formats
• Work independently and asynchronously on a flexible schedule

Requirements

• Strong background in quantitative finance, statistics, economics, or data analysis
• Sharp reasoning skills regarding model logic, assumptions, and limitations
• Comfortable working with structured financial datasets and interpreting complex outputs
• Detail-oriented and systematic approach to identifying discrepancies
• Clear and concise written communication skills to translate technical findings into accessible summaries
• Self-motivated and reliable when working independently without supervision

Preferred Qualifications

• Hands-on experience with Python, R, or other quantitative modeling tools
• Background in financial forecasting, risk modeling, or investment analysis
• Familiarity with AI evaluation workflows or data annotation platforms
• Experience in roles such as quantitative analyst, actuary, data scientist, or financial modeler

Compensation & Benefits

• Hourly contract position
• Fully remote and flexible work schedule
• Freelance autonomy with task-based assignments
• Opportunity to contribute domain expertise to AI projects
• Potential for ongoing work and contract extension as new projects launch

Location

• Remote (work from any location)