Quantitative Strategist - Trading Models, Risk & Automation

Quant Blueprint LLC; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Quant Blueprint LLC is seeking a Quant to apply observation skills and modern statistical methods to innovate and improve trading strategies. In this role, you will collaborate with traders and engineers in a supportive, interdisciplinary environment, focusing on predictive modeling and risk management.

The ideal candidate holds a PhD in a quantitative field with exceptional problem-solving skills and programming experience in Python or C/C++. This role offers significant opportunities for intellectual growth and collaboration.

Qualifications

• PhD in Science, Math, Engineering or other quantitative field.
• Exceptional quantitative, mathematical, and problem-solving skills.
• Strong programming skills in Python and/or C/C++.

Responsibilities

• Develop predictive models using statistical methods.
• Research and implement new trading strategies.
• Analyze existing strategies for potential improvements.
• Develop risk models to manage portfolio risks.
• Create tools to automate research tasks.

Skills

Quantitative skills

Mathematical skills

Programming in Python/C/C++

Statistical methods

Problem-solving skills

Education

PhD in Science, Math, Engineering or related field

Job description

Quant Blueprint LLC is seeking a Quant to apply observation skills and modern statistical methods to innovate and improve trading strategies. In this role, you will collaborate with traders and engineers in a supportive, interdisciplinary environment, focusing on predictive modeling and risk management.

The ideal candidate holds a PhD in a quantitative field with exceptional problem-solving skills and programming experience in Python or C/C++. This role offers significant opportunities for intellectual growth and collaboration.