Quant Developer | Research & Analytics | Infrastructure EU Team at APG
Amsterdam, , Netherlands -
Full Time


Start Date

Immediate

Expiry Date

22 Nov, 25

Salary

4.503

Posted On

23 Aug, 25

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Soft Skills, Git, Python, Personal Development, English, Working Experience, Data Engineering, Sql, Power Bi, Analytics, Microservices, Coding Practices, Cs

Industry

Information Technology/IT

Description

ARE YOU PASSIONATE ABOUT FINANCE? IS CODING YOUR SECOND LANGUAGE? DO YOU FEEL COMFORTABLE IN FAST-PACED ENVIRONMENTS? ARE YOU UP FOR THE CHALLENGE OF ANALYZING PRIVATE DATASETS? IF SO, WE HAVE AN EXCITING OPPORTUNITY FOR YOU.

Location
Amsterdam
Employment
40-40 hours
Years of experience
0-5 years of experience
Education
Master of Science (MSc)
Salary indication

Responsibilities

What you would do

  • Perform thematic research with a quantitative angle on relevant topics to assess the impact on underwriting of the investment portfolio.
  • Develop and enhance our data driven analytics and LLM platform used in investment decisions.
  • Collaborate with portfolio managers, researchers, and fellow engineers within the global team to understand the Infrastructure investment processes and turn relevant ideas into high performance tooling.
  • Build and maintain robust data pipelines and cloud native applications that effectively leverage Azure solutions.
  • Translate research into scalable, low maintenance information products.
  • Ensure system stability, data accuracy, and model transparency

What you would do

  • Perform thematic research with a quantitative angle on relevant topics to assess the impact on underwriting of the investment portfolio.
  • Develop and enhance our data driven analytics and LLM platform used in investment decisions.
  • Collaborate with portfolio managers, researchers, and fellow engineers within the global team to understand the Infrastructure investment processes and turn relevant ideas into high performance tooling.
  • Build and maintain robust data pipelines and cloud native applications that effectively leverage Azure solutions.
  • Translate research into scalable, low maintenance information products.
  • Ensure system stability, data accuracy, and model transparency
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