Gina’s Tech Jobs – IT Recruiting Agency
Options Trading Quantitative Researcher – Work From Home
Gina’s Tech Jobs – IT Recruiting Agency, Chicago, Illinois, United States, 60290
Options Trading Quantitative Researcher – Work From Home
We are seeking a talented and self-motivated Quantitative Researcher to join our options trading team. You will work in a collaborative team with the potential to deliver significant contributions through data-driven insights and by providing high-quality research tools enabling reproducible and well-tested research to take place across the firm. Our culture emphasizes teamwork and focuses on continuous integration and test-driven development. The ideal candidate will be responsible for designing, developing, and enhancing Python data science tools and frameworks. This includes conducting alpha research, identifying new trading opportunities, and monitoring models in production. This position is 100% Remote. Responsibilities
Design, develop, and enhance Python data science tools and frameworks. Conduct alpha research, identify new trading opportunities, and monitor models in production. Collaborate with the team to deliver data-driven insights and reproducible research tools across the firm. Options Trading Quantitative Researcher Qualifications:
Bachelor’s degree in mathematics, physics, computer science, or a related quantitative field. 2+ years of relevant work experience. Experience conducting and applying quantitative research to options trading. Experience integrating alpha signal research into options trading systems. In depth understanding of options pricing and volatility modelling. Strong knowledge of probability, statistics, and machine learning for time-series data. Excellent programming skills in Python (C++ familiarity is a plus). Experience with software engineering best practices including TDD and CI/CD. Experience with distributed computing. Prior experience developing on a Linux stack. Effective prioritization while being mindful of long-term objectives. Able to take ownership of projects in a fast-paced collaborative environment. Strong attention to detail. Outstanding communication skills to collaborate with different stakeholders across multiple geographical locations. Benefits include medical, dental, vision, health savings account, life insurance policy, short-term/long-term disability insurance, employee assistance program, etc.
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We are seeking a talented and self-motivated Quantitative Researcher to join our options trading team. You will work in a collaborative team with the potential to deliver significant contributions through data-driven insights and by providing high-quality research tools enabling reproducible and well-tested research to take place across the firm. Our culture emphasizes teamwork and focuses on continuous integration and test-driven development. The ideal candidate will be responsible for designing, developing, and enhancing Python data science tools and frameworks. This includes conducting alpha research, identifying new trading opportunities, and monitoring models in production. This position is 100% Remote. Responsibilities
Design, develop, and enhance Python data science tools and frameworks. Conduct alpha research, identify new trading opportunities, and monitor models in production. Collaborate with the team to deliver data-driven insights and reproducible research tools across the firm. Options Trading Quantitative Researcher Qualifications:
Bachelor’s degree in mathematics, physics, computer science, or a related quantitative field. 2+ years of relevant work experience. Experience conducting and applying quantitative research to options trading. Experience integrating alpha signal research into options trading systems. In depth understanding of options pricing and volatility modelling. Strong knowledge of probability, statistics, and machine learning for time-series data. Excellent programming skills in Python (C++ familiarity is a plus). Experience with software engineering best practices including TDD and CI/CD. Experience with distributed computing. Prior experience developing on a Linux stack. Effective prioritization while being mindful of long-term objectives. Able to take ownership of projects in a fast-paced collaborative environment. Strong attention to detail. Outstanding communication skills to collaborate with different stakeholders across multiple geographical locations. Benefits include medical, dental, vision, health savings account, life insurance policy, short-term/long-term disability insurance, employee assistance program, etc.
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