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Paid Internship
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12Open Positions

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Intern- Quantitative Portfolio Management (m/f/d)

Statkraft
Found 2 months ago
Location
Dusseldorf, Germany
Duration (Months)
6 Months
Time
Full-time
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • Quantitative discipline
  • mathematical and numerical skills
  • Python

Soft Skills

  • Commercial mind-set with a proactive and independent way of working
  • Attention to detail
  • social and communication skills
  • People who love to lead, teach and help others learn

Job Description

As a Quantitative Portfolio Management Intern, you will work closely with our team of experienced quants, gaining exposure to some of the various areas of analysis and contributing to ongoing projects. You will have the chance to apply your analytical and programming skills while building an understanding of power and related commodities with a focus on renewables. Specifically, you willPlay a pivotal role in the pricing of standard market access contractsSupport analysts and portfolio managers in pricing of non-standard contractsPerform quantitative analysis on markets, portfolios and pricing methodologiesContribute to the team’s Python librariesConnect, operationalise and pre-process new data sourcesCreate dashboards, reports and visualization toolsManage own quantitative projectsClosely cooperate with portfolio managers, originators and key account managers

Requirements

  • Student of a quantitative discipline
  • Strong mathematical and numerical skills
  • Advanced programming skills (preferably Python)
  • Fluent in English
  • Social and communication skills
  • People who love to lead, teach and help others learn

Related Field

  • Quantitative Finance

Related Subfield

  • Quantitative Analysis

Languages

  • English

Nice to Haves

  • Statistical analysis and time series analysis
  • Software development workflows (e.g. Git)
  • Energy markets and trading
▶Apply Now

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