Quantitative Researcher: Trading Algorithms & ML Models

Logos Res; Las Vegas (NV); On-site; USD 120,000 - 170,000; Full time

Job summary

Logos Res in Las Vegas seeks a research-focused quantitative scientist to develop trading algorithms using data science, statistics and applied mathematics. You will design models for financial markets and test ideas with rigorous empirical methods.

You will conduct original research on prediction markets and traditional instruments, collaborate with senior researchers to refine strategies, and analyze large datasets to identify patterns and market inefficiencies.

Qualifications

• Advanced degree in computer science, mathematics, physics, statistics, or related discipline.
• Track record of exceptional intellectual achievement.
• Demonstrated capacity to do first-class research.
• Strong computer programming and system design skills.
• Experience with machine learning, statistical modeling, or quantitative finance is highly valued.

Responsibilities

• Use data science, statistics, and applied mathematics to develop trading algorithms and mathematical models of the financial markets
• Conduct original research on prediction markets and traditional financial instruments
• Collaborate with senior researchers to refine and implement quantitative strategies
• Analyze large datasets to identify patterns and market inefficiencies

Skills

Programming & system design

ML / statistical modeling

Research excellence

Quantitative finance exposure

Education

Advanced degree in CS / math / physics / statistics

Job description

Logos Res in Las Vegas seeks a research-focused quantitative scientist to develop trading algorithms using data science, statistics and applied mathematics. You will design models for financial markets and test ideas with rigorous empirical methods.

You will conduct original research on prediction markets and traditional instruments, collaborate with senior researchers to refine strategies, and analyze large datasets to identify patterns and market inefficiencies.