Quantitative Trading Researcher (PhD) — Austin

Quant Blueprint LLC; Singapore; On-site; SGD 70,000 - 90,000; 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 lunch and snacks

Job summary

Quant Blueprint LLC in Singapore is seeking a Graduate Quantitative Researcher to develop and implement algorithmic trading strategies. You will work collaboratively with a team of mathematicians and scientists, leveraging vast datasets and machine learning to enhance trading strategies.

The ideal candidate will hold a PhD in a quantitative field with exceptional analytical skills and a solid foundation in statistics. You will enjoy competitive benefits including a performance-based bonus structure, comprehensive health insurance, and 25 paid vacation days.

Qualifications

• PhD in a relevant field with outstanding academic achievements.
• Expected graduation by mid-2025.
• Independent research experience required.

Responsibilities

• Develop trading algorithms using statistical models and machine learning.
• Analyze high-frequency trading strategies leveraging big data.
• Build stochastic models for financial derivatives.

Skills

Statistical models

Machine learning

Programming proficiency

Analytical skills

Research experience

Education

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

Job description

Quant Blueprint LLC in Singapore is seeking a Graduate Quantitative Researcher to develop and implement algorithmic trading strategies. You will work collaboratively with a team of mathematicians and scientists, leveraging vast datasets and machine learning to enhance trading strategies.

The ideal candidate will hold a PhD in a quantitative field with exceptional analytical skills and a solid foundation in statistics. You will enjoy competitive benefits including a performance-based bonus structure, comprehensive health insurance, and 25 paid vacation days.