Quantitative Researcher, PhD (2026)

Quant Blueprint LLC; Amsterdam; On-site; EUR 55,000 - 85,000; Full time

Benefits offered by this job

Competitive salary

Quarterly bonus based on performance

Job summary

Quant Blueprint LLC in Amsterdam seeks a Quantitative Researcher to identify trading opportunities and leverage quantitative skills. This role involves working on diverse projects to gain insights into market dynamics and trading strategies.

Ideal candidates will possess strong data analysis abilities and a coding background, with a focus on innovative solutions. A competitive salary and quarterly performance bonuses are offered.

Qualifications

• Persistent drive to improve.
• Team mindset, committed to sharing ideas.
• Mental flexibility and self-awareness.

Responsibilities

• Identify trading opportunities using quantitative skills.
• Work on diverse projects to gain market insights.
• Use coding proficiency to accelerate innovation.

Skills

Creative problem-solving

Probabilistic thinking

Data analysis

Conducting research

Knowledge of AI techniques

Understanding of financial products

Computer programming (C++, Python, Java)

Job description

As a Quantitative Researcher, your focus is on identifying trading opportunities and using strong quantitative skills and coding proficiency to accelerate innovation and help others leverage your work.

Over a six‑month period you'll work on a variety of projects with different collaborators, gaining insight into market dynamics, trading strategies, and our proprietary research platform.

While interest in trading is key, a background in finance is not required. Our team consists mainly of academics from top universities and diverse disciplines.

Compensation

• Competitive salary
• Quarterly bonus based on individual performance and contribution toward the firm’s success

Qualifications

• Persistent drive to improve
• Creative problem‑solving and probabilistic thinking
• Team mindset, committed to sharing ideas
• Mental flexibility and self‑awareness, adapting based on new data and feedback
• Orientation for making money – focus on high‑value projects

Skills and Experience

• Strong intuition and deep thinking with data sets – design new alphas, understand complex systems, know where to start or ask others
• Ability to quickly analyze data to find empirical relationships, distinguish signal from noise
• Familiarity with classical statistical methods and ability to apply them rigorously; willing to learn and apply new methods
• Experience with modern AI techniques and applied machine learning (preferred)
• Constantly questions finance/trading data and seeks answers despite often finding no correlation or signal
• Experience setting up research frameworks and executing projects
• Understanding of financial products, market dynamics, and microstructure
• Knowledge of low‑level computer languages such as C++, Python, Java, with awareness of their strengths and nuances to solve complex problems