Deep Learning Modelling Engineer - PhD Program (2026 Start - Shanghai)

Quant Blueprint LLC; Amsterdam; On-site; EUR 65,000 - 85,000; Full time

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

Graduate Quantitative Researcher, PhD – Austin

As a Graduate Quantitative Researcher, you will develop, refine and implement algorithmic trading strategies that shape the future of electronic trading. Working alongside a research team of mathematicians, scientists and technologists, you will leverage vast data sets to construct complex models to predict market movements. With your expertise in statistics and exceptional analytical and research skills, you will develop innovative solutions foundational to Optiver's trading strategies.

Onboarding

You will participate in Optiver's comprehensive Global Academy and be equipped with the knowledge needed to make an impact the moment you join your team. The training covers trading theory and Optiver's tech stack to hone your skills for your role. In addition, you will be paired with a dedicated mentor who will empower you to take ownership of your work and make a difference.

Responsibilities

• Using statistical models and machine learning to develop trading algorithms.
• Leveraging big data technologies to analyze high‑frequency trading strategies, market microstructure and financial instruments to identify trading opportunities.
• Building stochastic models to determine the fair value of financial derivatives.
• Combining quantitative analysis and high‑performance implementation to ensure the efficiency and accuracy of pricing engines and libraries.

Benefits

• A performance‑based bonus structure unmatched anywhere in the industry; we combine our profits across desks, teams and offices into a global profit pool.
• The opportunity to work alongside best‑in‑class professionals from over 40 different countries.
• Ownership over initiatives that directly solve business problems.
• 401(k) match up to 50% and fully paid health insurance.
• 25 paid vacation days alongside market holidays.
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more.

Who you are

• PhD in Mathematics, Statistics, Computer Science, Physics, or a related STEM field, with outstanding academic achievements.
• Expected graduation date by mid‑2025.
• Availability to commence full‑time employment upon graduation in 2025.
• Solid foundation in mathematics, probability, and statistics.
• Excellent research, analytical, and modeling skills.
• Independent research experience.
• Proficiency in any programming language.
• Knowledge of machine learning, time‑series analysis, pattern recognition, and NLP is a plus.
• Strong interest in working in a fast‑paced, collaborative environment.
• Fluent in English with strong written and verbal communication skills.

Diversity and Inclusion

Optiver is committed to diversity and inclusion.

Immigration Sponsorship

Optiver is supportive of US immigration sponsorship for this role.