Quantitative Finance Forecasting Analyst

Alignerr Corp.; Hong Kong; À distance; HKD 541 000 - 811 000; Plein temps

Résumé du poste

Alignerr is seeking a Quantitative Finance Forecasting Analyst (AI Training) to evaluate AI-generated model outputs, validate forecasting logic, and ensure financial predictions hold up across structured data. This fully remote hourly contract role fits finance and data professionals who think rigorously and communicate clearly.

You'll review model outputs, validate drivers, and summarize trends across scenarios, identifying anomalies in structured financial data.

Qualifications

• Strong background in quantitative finance, statistics, econometrics, or data analysis.
• Ability to reason through model logic, assumptions and downstream implications.
• Detail-oriented and systematic in evaluating forecasting outputs.
• Clear written communicator translating quantitative findings into structured outputs.

Responsabilités

• Review and assess quantitative model outputs, evaluating the soundness of inputs, assumptions, and results.
• Validate key forecasting drivers and identify where logic breaks down or assumptions are poorly grounded.
• Summarize expected market or company-level trends across a range of performance scenarios.
• Identify anomalies, inconsistencies, or red flags in structured financial data.
• Deliver clear, structured findings using standardized evaluation formats.
• Work independently and asynchronously — fully on your own schedule.

Connaissances

Quantitative finance

Statistics

Econometrics

Data analysis

Model reasoning

Technical communication

Independent work

Outils

Python

R

Description du poste

Quantitative Finance Forecasting Analyst (AI Training)

What if your expertise in quantitative finance and predictive modeling could directly shape how AI understands markets, forecasts performance, and interprets structured financial data — at scale?

We're looking for Quantitative Finance Forecasting Analysts to evaluate AI-generated model outputs, validate forecasting logic, and ensure the reasoning behind financial predictions actually holds up. Your work will help AI systems reason more accurately about one of the most complex and consequential domains in the world.

This is a fully remote, flexible contract role built for finance and data professionals who think rigorously and communicate clearly.

About The Role

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: Flexible — work on your own schedule

What You'll Do

• Review and assess quantitative model outputs, evaluating the soundness of inputs, assumptions, and results
• Validate key forecasting drivers and identify where logic breaks down or assumptions are poorly grounded
• Summarize expected market or company-level trends across a range of performance scenarios
• Identify anomalies, inconsistencies, or red flags in structured financial data
• Deliver clear, structured findings using standardized evaluation formats
• Work independently and asynchronously — fully on your own schedule

Who You Are

• Strong background in quantitative finance, statistics, econometrics, or data analysis
• Comfortable reasoning through model logic, assumptions, and their downstream implications
• Detail-oriented and systematic — you spot when something doesn't add up
• Clear and concise communicator who can translate complex quantitative findings into structured written outputs
• Self-motivated and reliable when working independently without supervision

Nice to Have

• Familiarity with Python, R, or other quantitative modeling tools
• Experience with financial forecasting, risk modeling, or scenario analysis
• Background in investment research, corporate finance, or quantitative strategy
• Prior exposure to AI tools or data evaluation workflows

Why Join Us

• Work on cutting-edge AI projects alongside leading research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, task-based work
• Make a direct impact on how AI reasons about financial systems and data
• Potential for ongoing work and contract extension as new projects launch