Performance Researcher

Quant Blueprint LLC

United States

On-site

USD 90,000 - 120,000

Full time

14 days+
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Benefits offered by this job

Performance-based bonus structure
401(k) match up to 50%
Fully paid health insurance
25 paid vacation days
Extensive office perks including meals and social events

Job summary

Quant Blueprint LLC is seeking a Graduate Quantitative Researcher to develop and implement algorithmic trading strategies. This role involves leveraging vast data sets alongside a research team to construct complex models predicting market movements. You will work in a collaborative environment and participate in a comprehensive training program after joining.

The ideal candidate will have a PhD in a relevant STEM field, excellent analytical skills, and experience in statistical modeling and programming.

Qualifications

  • PhD expected by mid-2025 with a solid foundation in mathematics, probability, and statistics.
  • Excellent research, analytical, and modeling skills required.
  • Independent research experience is a must.

Responsibilities

  • Develop trading algorithms using statistical models and machine learning.
  • Analyze high-frequency trading strategies and market microstructure using big data.
  • Build stochastic models for fair value determination of financial derivatives.
  • Ensure pricing engines' efficiency and accuracy through quantitative analysis.

Skills

Statistical modeling
Machine learning
Proficiency in programming
Research and analytical skills
Quantitative 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.

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