Quantitative Research Expert (English)

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

Create realistic quantitative finance problems and step-by-step solutions to evaluate AI models. This remote contract role pays $115 per hour, requires 20+ hours per week, and calls for a graduate degree and three years of quant experience.

The work

Create realistic quantitative finance problems based on professional modeling work, then write complete reference answers that explain the reasoning step by step. Review analyses for modeling errors that take practical judgment to spot.

Work may cover signal research, backtesting, derivatives pricing, risk modeling, and statistical time series. Review the duties and qualifications before applying to make sure the role matches your expertise.

• Write challenging finance problems and authoritative solutions.
• Assess whether financial models and analyses are sound, including errors that may be easy to miss.

Open in 95 countries

• Albania
• Algeria
• Antigua and Barbuda
• Armenia
• Australia
• Austria
• Bahamas
• Bahrain
• Belgium
• Benin
• Bhutan
• Bosnia and Herzegovina
• Botswana
• Brunei
• Bulgaria
• Canada
• Costa Rica
• Côte d’Ivoire
• Croatia
• Cyprus
• Czechia
• Denmark
• Ecuador
• El Salvador
• Estonia
• Ethiopia
• Finland
• France
• Gambia
• Germany
• Greece
• Guatemala
• Guyana
• Hong Kong
• Hungary
• Iceland
• India
• Indonesia
• Ireland
• Israel
• Italy
• Jamaica
• Jordan
• Kenya
• Kuwait
• Latvia
• Liechtenstein
• Lithuania
• Luxembourg
• Madagascar
• Malaysia
• Malta
• Mauritius
• Mexico
• Moldova
• Mongolia
• Morocco
• Mozambique
• Namibia
• Netherlands
• New Zealand
• North Macedonia
• Norway
• Oman
• Pakistan
• Panama
• Peru
• Philippines
• Poland
• Portugal
• Qatar
• Romania
• Rwanda
• Saint Lucia
• Senegal
• Serbia
• Singapore
• Slovakia
• Slovenia
• South Africa
• Spain
• Sri Lanka
• Sweden
• Switzerland
• Taiwan
• Tanzania
• Thailand
• Trinidad and Tobago
• Tunisia
• Türkiye
• United Arab Emirates
• United Kingdom
• United States
• Uzbekistan
• Vietnam

What it pays and takes

• Pay: $115 per hour.
• Work arrangement: Remote, asynchronous contractor work with a flexible schedule.
• Time requirement: At least 20 hours per week.
• Location: Open to candidates in the eligible countries for this role.
• Education: A master's or PhD in mathematics, statistics, physics, financial engineering, economics, or computer science.
• Experience: At least three years of full-time work as a quantitative researcher, quant analyst, or risk modeler.
• Technical skills: Hands-on experience with backtesting, pricing models, risk models, or statistical time series; strong programming ability in Python, R, C++, or MATLAB.
• Communication: Strong written English and the ability to explain model reasoning step by step.
• Helpful background: Work at a hedge fund, trading firm, bank, or asset manager; experience with market or credit risk models such as VaR, expected shortfall, or PD/LGD.

About AI training work

AI training work uses examples written and reviewed by people to help AI models learn and improve. Experienced quantitative professionals are needed to create realistic financial problems and identify errors in model reasoning.