Quantitative Modeller | Talent Program at Mploy Associates
3UB, Utrecht, Netherlands -
Full Time


Start Date

Immediate

Expiry Date

04 May, 25

Salary

3733.0

Posted On

04 Feb, 25

Experience

3 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

LET’S TALK TALENT

You have talent. Ready to make impact. We know. We also know that making impact starts with that first contact between likeminded people who have the same drive to shape their future. We see you, with your skills, personality and dreams. Now let’s take it to even greater heights by means of one of our talent programs for master’s graduates.
We are Mploy Associates, a talent focused consultancy firm ready to make not only our clients’ teams successful but also you. Your talent, our focus.

WHAT ARE WE LOOKING FOR?

We are looking for graduates with different quantitative backgrounds, experiences, and passions. It speaks for itself that you are ambitious, self-reflective and dare to be confident in an authentic way.

Furthermore, you are energized by stakeholder management and are well adept at gathering reliable information. You use this in combination with a consultive mindset to make our clients more successful. Last but not least, you are eager to develop yourself on personal, professional and technical level with our personalized in-house Talent Programs. To make this more specific:

  • You have 0-3 years of work experience and want to learn everything about the most modern modelling methods, tooling, and data processing solutions;
  • You want to put in practice the quantitative skills that you have acquired during your master’s in Econometrics, Mathematics, Physics or another quantitative study;
  • You have strong communication and presentation skills;
  • You are proficient in SQL, Matlab, R, Python, C#, C++ or another coding language.
Responsibilities
  • Investigating the best methods for modelling risks, operational processes or pricing issues;
  • Developing models in SAS, Matlab, R, and/or Python by means of regressions, AI algorithms, stochastic methods or other investigated techniques;
  • Calculating the capital impact of the new model;
  • Documenting the model development process and results;
  • Making an inventory of the possibilities to implement the model in IT systems
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