Skip to content
Jobsearch.ing

Quant Associate

OptionmetricsNew York, NY

$130K – $160KEntry levelFull time
Source-verified: read directly from this employer's own lever job board, not a repost.On-sitePosted (63 months ago)Last verified (today)

At a glance

Location
New York, NY
Workplace
On-site
Pay
$130K – $160K
Employment type
Full time
Experience
Not stated
Education
Master (required)
Job family
Not classified
Seniority
Entry level
Posted by employer
17 August 2021
Last verified open
23 October 2026
Region and country
NY, US
Listed via
Lever

What the employer wrote

About Us:  OptionMetrics, headquartered in New York, NY. is a dynamic and innovative technology company, a trusted provider of financial information and research derived from the option markets. We are at the forefront of developing solutions that empower businesses. Our commitment to excellence, coupled with a collaborative, forward-thinking culture, has made us the preferred choice for top-tier talent. Our data and analytics models are utilized by over 350 investment banks, hedge funds, asset management firms, and academic institutions globally, solidifying our position as a leader in the industry.

About Us:  OptionMetrics, headquartered in New York, NY. is a dynamic and innovative technology company, a trusted provider of financial information and research derived from the option markets. We are at the forefront of developing solutions that empower businesses. Our commitment to excellence, coupled with a collaborative, forward-thinking culture, has made us the preferred choice for top-tier talent. Our data and analytics models are utilized by over 350 investment banks, hedge funds, asset management firms, and academic institutions globally, solidifying our position as a leader in the industry.

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: • Assist in the development, implementation, and maintenance of the firm's option pricing models and quantitative analytics.

• Partner with Senior Quantitative Researchers on research initiatives and model enhancements.

• Contribute to the development of new products, quantitative tools, and analytics.

• Collaborate with the Head of Quantitative Research to understand client needs and help develop innovative quantitative solutions.

• Conduct statistical analysis and quantitative research using large financial datasets.

• Validate, test, and improve pricing models to ensure accuracy, robustness, and performance.

• Document research findings and communicate technical concepts clearly to both technical and non-technical audiences.

 

 

 

 

 

 

 

 

 

 

 

Skills You'll Need: • Master's degree (M.S.) or higher in Financial Engineering, Quantitative Finance, Econometrics, Statistics, Applied Mathematics, Physics, Computer Science, or another highly quantitative discipline.

• Strong interest in derivatives, option pricing, financial markets, and quantitative modeling.

• Proficiency in at least one programming language such as Python, C++, or Java.

• Strong analytical and problem-solving skills with exceptional attention to detail.

• Excellent written and verbal communication skills.

• Ability to manage multiple priorities while working both independently and collaboratively.

 

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.

What We Offer: • A collaborative environment where everyone's input makes a difference.

• Paid time off: Vacation, Personal, Sick days, and Holidays.

• Pre-tax commuter benefits (NJT, MTA, etc.) and 401k plan offered.

• Full medical and dental insurance coverage.

OptionMetrics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, OptionMetrics will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co‐worker, Pay Transparency Nondiscrimination .

If you need a reasonable accommodation for any part of the employment process, please contact us by email and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

Where this record came from

Read from Optionmetrics's own Lever job board on , and last confirmed still open on . The employer published it on 17 August 2021. Jobsearch.ing did not write, edit or rank this posting, and does not vet the employer. View the original posting.

More roles like this one