Graduate Quantitative Researcher – Algorithmic Trading

Quant Blueprint LLC; United States; On-site; USD 90,000 - 120,000; Full time

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

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.