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FRFraunhofer-Gesellschaft

Master's thesis »Financial Mathematics«(m/w/x)

Kaiserslautern
Full-timeInternshipOn-site
AI/ML
Data Science

In this role, you will explore cutting-edge machine learning models for financial mathematics, ranging from graph neural networks to LLMs, while preparing your findings for publication.

Requirements

  • Strong Python programming skills
  • Solid machine learning foundations
  • Interest in NLP, LLMs, or graph-based methods
  • Willingness to implement methods and publish results
  • Completed bachelor's degree

Tasks

  • Investigate state-of-the-art ML models for GVM analysis
  • Research synthetic data and AML evaluation frameworks
  • Explore LLMs for AML case understanding
  • Apply Graph Neural Networks for AML pattern detection
  • Develop explainable AI for investigator support
  • Implement new mathematical and machine learning methods
  • Prepare research results for academic publications

Education

Bachelor's degree

Languages

EnglishBusiness Fluent

Tools & Technologies

PythonNLPLLMs

Benefits

Diverse Work

  • Varied and exciting role
  • Exciting research environment

Purpose-Driven Work

  • Opportunities for own ideas
  • Independent work

Mentorship & Coaching

  • Close mentoring
  • Constructive feedback

Startup Environment

  • Modern, dynamic work environment
  • Short decision-making processes

Informal Culture

  • Flat hierarchy

Modern Equipment

  • Latest technology

Other Benefits

  • Promoted employee diversity
  • Solutions for disabled applicants
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