Graduate Quant Researcher — ML Trading Algorithms

Quant Blueprint LLC

Amsterdam

On-site

EUR 65,000 - 85,000

Full time

14 days+

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Benefits offered by this job

Performance-based bonus structure
401(k) match
Fully paid health insurance
25 paid vacation days
Office perks including meals and events

Job summary

Quant Blueprint LLC is seeking a Graduate Quantitative Researcher in Amsterdam to develop and implement algorithmic trading strategies. The role involves leveraging data sets to build models that predict market movements, working alongside a team of experts in a fast-paced environment.

The ideal candidate will have a PhD in a relevant STEM field, exceptional analytical skills, and proficiency in programming. This position offers a comprehensive onboarding, a bonus structure, and various office perks.

Qualifications

  • PhD in a relevant STEM field with outstanding academic achievements.
  • Expected graduation by mid-2025.
  • Strong foundation in mathematics, probability, and statistics.
  • Research experience in quantitative analysis.
  • Proficiency in any programming language.

Responsibilities

  • Develop trading algorithms using statistical models and machine learning.
  • Analyze trading strategies and financial instruments with big data technologies.
  • Build models to determine the fair value of financial derivatives.
  • Ensure efficiency of pricing engines and libraries through quantitative analysis.

Skills

Statistical models
Machine learning
Programming
Mathematics
Statistics
Data analysis

Education

PhD in Mathematics, Statistics, Computer Science, Physics, or related STEM field

Job description

Quant Blueprint LLC is seeking a Graduate Quantitative Researcher in Amsterdam to develop and implement algorithmic trading strategies. The role involves leveraging data sets to build models that predict market movements, working alongside a team of experts in a fast-paced environment.

The ideal candidate will have a PhD in a relevant STEM field, exceptional analytical skills, and proficiency in programming. This position offers a comprehensive onboarding, a bonus structure, and various office perks.

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