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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

19Open Positions

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    esm
    Luxembourg, Luxembourg
    Found 1 month ago
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  • Schülerpraktikum (all genders)

    MTU Aero Engines AG
    Langenhagen, Germany
    Found 3 months ago
  • Schülerpraktikum

    MTU Aero Engines AG
    Langenhagen, Germany
    Found 3 months ago
  • Schülerpraktikum (all genders)

    MTU Aero Engines AG
    Langenhagen, Germany
    Found 3 months ago

Middle office data analysis and visualisation trainee

esm
Found 1 month ago
Location
Luxembourg, Luxembourg
Duration (Months)
6 Months
Time
Full-time
Work Mode
On-site
Salary
Competitive allowance granted
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master
  • PhD

Skills & Qualifications

Technical Skills

  • DAX
  • SQL
  • PowerBI
  • MS Excel
  • Python
  • Dash
  • Bloomberg

Soft Skills

  • Analytical and numerical skills
  • Keen attention to detail
  • Ability to explain complex issues in simple terms
  • Creativity
  • intellectual curiosity
  • eagerness to acquire new skills
  • Interest in financial markets and financial risk management

Job Description

We are looking for a trainee to support our Middle Office team in enhancing and contributing to the data analysis and visualisation of our investment and funding activities, risk reporting, and collateral management. You need a strong background in financial data analysis and visualisation as well as database management. You will be supervised by the team lead and report to the Head of Middle and Back Office and Portfolio Performance.

Requirements

  • A candidate (or recent graduate within one year of graduation) for an advanced university degree, preferably in economics, finance, risk management, business administration, mathematics, engineering or equivalent.
  • Good understanding of financial products with an emphasis on fixed income and derivatives, including foreign exchange instruments and interest rate swaps.
  • DAX skills, and knowledge in SQL and PowerBI are key.
  • Good knowledge of Microsoft software, particularly MS Excel.
  • A first experience/traineeship in data analysis and visualisation in dashboards is considered a strong asset.
  • Knowledge in Python and construction of dashboards with Dash is considered an asset.
  • Knowledge of Bloomberg would be an advantage.
  • Fluency in English, both oral and written.

Related Field

  • Finance and Banking

Related Subfield

  • Risk Management

Languages

  • English

Nice to Haves

  • A first experience/traineeship in data analysis and visualisation in dashboards
  • Knowledge in Python and construction of dashboards with Dash
  • Knowledge of Bloomberg
▶Apply Now

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