Options Quant Researcher: Alpha Signals & ML

Quant Blueprint LLC; New York (NY); On-site; USD 100,000 - 200,000; Full time

Benefits offered by this job

Comprehensive benefits package

Discretionary performance bonus

Job summary

Quant Blueprint LLC in New York seeks a Quantitative Researcher to drive innovation in single stock options. This position involves collaborating with senior management to develop robust strategies and strong predictive models through comprehensive research and programming skills.

The ideal candidate holds a Master's or PhD in a quantitative field, demonstrates independent problem-solving abilities, and is proficient in Python. The job offers a competitive compensation package including a base salary ranging from $100,000 to $200,000, based on expertise.

Qualifications

• 2-5 years of experience in quantitative research/quantitative trading focused on equity/equity options strategies.
• Excellent communication and independent problem-solving skills.
• Experience in statistical arbitrage strategies is highly preferred.

Responsibilities

• Work on alpha research and development for systematic equity volatility strategies.
• Explore, analyze, and harness datasets to build predictive models.
• Collaborate transparently with the Senior Portfolio Manager.

Skills

Data gathering and pre-processing

Model implementation and back-testing

Statistical learning techniques

Strong research and programming skills

Python

Education

Master's or PhD degree in a quantitative subject

Bachelor's degree in a quantitative subject

Tools

Python

C++

kdb/q

SQL

Job description

Quant Blueprint LLC in New York seeks a Quantitative Researcher to drive innovation in single stock options. This position involves collaborating with senior management to develop robust strategies and strong predictive models through comprehensive research and programming skills.

The ideal candidate holds a Master's or PhD in a quantitative field, demonstrates independent problem-solving abilities, and is proficient in Python. The job offers a competitive compensation package including a base salary ranging from $100,000 to $200,000, based on expertise.