Graduate Quant Trader: Bonds, Futures & Options

Quant Blueprint LLC; Singapore; On-site; SGD 89,789 - 128,271; 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 in Singapore is seeking a Graduate Quantitative Researcher (PhD) to develop and implement algorithmic trading strategies, leveraging big data and machine learning technologies in trading. This role involves collaborating with a skilled team to innovate financial solutions.

The ideal candidate will have a strong statistical background and excellent analytical skills, with a PhD expected by mid-2025. Benefits include a performance-based bonus structure, comprehensive health insurance, and ample vacation days.

Qualifications

• PhD expected by mid-2025 with outstanding academic achievements.
• Independently conducted research experience in a relevant field.
• Excellent written and verbal communication skills in English.

Responsibilities

• Develop trading algorithms using statistical models and machine learning.
• Analyze trading strategies leveraging big data technologies.
• Build stochastic models to determine fair value of financial derivatives.

Skills

Research skills

Statistical modeling

Analytical skills

Programming proficiency

Education

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

Tools

Machine learning

Time-series analysis

Job description

Quant Blueprint LLC in Singapore is seeking a Graduate Quantitative Researcher (PhD) to develop and implement algorithmic trading strategies, leveraging big data and machine learning technologies in trading. This role involves collaborating with a skilled team to innovate financial solutions.

The ideal candidate will have a strong statistical background and excellent analytical skills, with a PhD expected by mid-2025. Benefits include a performance-based bonus structure, comprehensive health insurance, and ample vacation days.