Quantitative Finance Intern – Energy Options Modeling

Uniper; Houston (TX); On-site; USD 28,000 - 41,000; Full time

Job summary

Uniper seeks a Quantitative Intern to join its North American team in Houston, TX. This paid internship targets current students or recent graduates with a strong financial mathematics background, focusing on valuing natural gas assets and related options.

The role emphasizes Black-Scholes methods, simulations, and the use of Python or R, Excel, and SQL. Start is January 2027 for 3–6 months, with potential extension; relocation and housing support are not provided, and local candidates are

Qualifications

• Currently enrolled or recently graduated with a graduate degree in a quantitative field.
• Strong background in financial mathematics and optimization.
• Experience with Black-Scholes methods and simulations.
• Proficiency in Python or R, Excel, SQL.
• Authorized to work in the United States without sponsorship.
• This internship starts January 2027 for 3–6 months with possible extension.

Responsibilities

• Develop models for valuing natural gas assets and options.
• Apply quantitative finance and optimization methods.
• Collaborate with the North American team to translate academic knowledge into practical tooling.

Skills

Python

R

Excel

SQL

Black-Scholes

Numerical optimization

Education

Financial Mathematics

Financial Engineering

Quantitative Finance

Mathematics

Economics

Engineering

Tools

Excel

SQL

Job description

Uniper seeks a Quantitative Intern to join its North American team in Houston, TX. This paid internship targets current students or recent graduates with a strong financial mathematics background, focusing on valuing natural gas assets and related options.

The role emphasizes Black-Scholes methods, simulations, and the use of Python or R, Excel, and SQL. Start is January 2027 for 3–6 months, with potential extension; relocation and housing support are not provided, and local candidates are