Quantitative Intern

Uniper; Houston (TX); On-site; USD 18,000 - 30,000; Full time

Benefits offered by this job

Paid internship

Job summary

Uniper seeks a Quantitative Intern to join its North American team in Houston. The role targets current students or recent graduates with a financial mathematics background.

You will develop models for valuing natural gas assets and options, applying Black-Scholes methods and simulations using Python or R, Excel and SQL. The internship begins January 2027 and lasts at least 3 months with potential extension.

Qualifications

• Strong background in financial mathematics or related field.
• Experience with Black-Scholes close-form methods and simulation techniques preferred.
• Proficiency in Python (or R), Excel, SQL for data interaction.
• Currently enrolled student or recent graduate with relevant coursework.

Responsibilities

• Develop models to value natural gas assets and financial/options.
• Apply quantitative finance techniques and optimization methods.
• Use Python/R and Excel to analyze and manipulate data.
• Collaborate with North American team and adapt to project needs.

Skills

Python

R

SQL

Excel

Black-Scholes

Quantitative Finance

Education

Financial Mathematics

Financial Engineering

Quantitative Finance

Tools

Excel

SQL

Job description

Uniper seeks a Quantitative Intern to join its North American team.

Your responsibilities

This is an opportunity for a current student or recent graduate, particularly at the graduate-degree level, with a financial mathematics background. In this internship, you will apply your academic knowledge of quantitative finance and optimization methods to develop models on valuing natural gas assets and physical/financial options.

Your profile

Preferred areas of education: Financial Mathematics, Financial Engineering, Quantitative Finance, but students/graduates in Mathematics, Economics, and/or Engineering may also be considered.

Options’ valuation knowledge is key, including experience with Black-Scholes close form methods and simulation techniques

Proficiency with Python (or R), Excel, SQL and other tools to interact with data.

We are looking for a problem solver, who is agile and flexible with responsibilities.

This is a paid opportunity, based in our Houston, TX office. Full-time employment is preferred, though we are open to part-time interns. This internship is expected to start as early as January 2027 and last for at least 3 months, with a possibility for an extension of up to an additional 3 months.

Relocation and housing support are not available for this role, and local candidates are highly preferred.

Applicants must be currently authorized to work in the United States for any employer without current or future sponsorship.