OptionMetrics
Quant Associate
- Location
- New York, NY, United States
- Work type
- On-site · Full-time
- Salary
- USD 130,000 – 160,000 / year
- Posted
- (5 years ago)
About the role
At OptionMetrics, we are seeking a curious, analytical, and detail-oriented Quant Associate to join our Quantitative Research team. This is an excellent opportunity for an early-career quantitative professional who is passionate about financial modeling, derivatives, and applied research.
As a Quant Associate, you will partner closely with our Senior Quantitative Researchers on a variety of quantitative research initiatives, contributing to the development and enhancement of our industry-leading options analytics platform. You will have the opportunity to work on challenging problems, develop innovative models, and see your work directly impact our products and clients.
We are a small, agile organization that values intellectual curiosity, collaboration, and craftsmanship. We emphasize quality over expediency and encourage our team members to take ownership of their work from concept through implementation. You'll be surrounded by exceptionally bright colleagues who are passionate about solving complex financial problems and advancing quantitative research.
Location: Hybrid: New York City or Miami, Florida.
What You'll Do:
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Assist in the development, implementation, and maintenance of the firm's option pricing models and quantitative analytics.
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Partner with Senior Quantitative Researchers on research initiatives and model enhancements.
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Contribute to the development of new products, quantitative tools, and analytics.
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Collaborate with the Head of Quantitative Research to understand client needs and help develop innovative quantitative solutions.
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Conduct statistical analysis and quantitative research using large financial datasets.
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Validate, test, and improve pricing models to ensure accuracy, robustness, and performance.
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Document research findings and communicate technical concepts clearly to both technical and non-technical audiences.
Skills You'll Need:
What Will Make You Stand Out:
Academic or research experience in derivatives, stochastic calculus, numerical methods, or financial modeling. Experience implementing quantitative models in Python or C++. Familiarity with options pricing models such as Black-Scholes, binomial trees, Monte Carlo simulation, or finite difference methods. Experience working with large financial datasets and statistical analysis. Exposure to machine learning techniques or predictive modeling. Internship or research experience within quantitative finance, financial engineering, or capital markets. Intellectual curiosity, a desire to continuously learn, and enthusiasm for tackling complex quantitative challenges.