Remote Quant Finance Problem Architect

OpenTrain AI, Inc.; United States; Remote; USD 131,000 - 186,000; Full time

Job summary

OpenTrain AI, Inc. is seeking a remote quantitative researcher to create realistic quantitative finance problems and provide complete reference solutions with step-by-step reasoning.

The role is a contract position, paying $115 per hour, with at least 20 hours per week. A graduate degree and at least three years of quant experience are required, and strong programming in Python, R, C++, or MATLAB is essential.

Qualifications

• Master's degree or PhD in a quantitative field as listed.
• At least three years of full-time quantitative experience.
• Strong programming ability in Python, R, C++, or MATLAB.

Responsibilities

• Create realistic quantitative finance problems with solutions.
• Review analyses for modeling errors.
• Cover signal research, backtesting, derivatives pricing, risk modeling, and time-series.

Skills

Backtesting

Pricing models

Risk models

Statistical time series

Python

R

C++

MATLAB

Written communication

Education

Master's degree or PhD in mathematics/statistics/financial engineering/economics/computer science

Job description

OpenTrain AI, Inc. is seeking a remote quantitative researcher to create realistic quantitative finance problems and provide complete reference solutions with step-by-step reasoning.

The role is a contract position, paying $115 per hour, with at least 20 hours per week. A graduate degree and at least three years of quant experience are required, and strong programming in Python, R, C++, or MATLAB is essential.