Full-Time
Quantitative Associate
Quantitative Research
OptionMetrics
51-200 employees
Provides historical stock option volatility data
Compensation Overview
$130k - $160k/yr
Miami, FL, USA + 1 more
More locations: New York, NY, USA
Hybrid
Hybrid schedule in New York City or Miami.
Master's, PhD
 Quantitative Finance (1) |
|---|
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- A 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.
- 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.
- 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.
OptionMetrics provides historical stock option volatility data and analytics through its IvyDB data family, serving financial institutions, hedge funds, asset managers and researchers. It offers end-of-day option prices, implied volatilities, and greeks, with daily subscription access. IvyDB US has been a standard since 2002; it also offers IvyDB Europe, Asia, Canada, Global Indices and specialized datasets like IvyDB Signed Volume that tracks buyer- vs seller-initiated volume. Clients use the data to backtest risk models, evaluate trading strategies, and study options markets; the goal is to be the essential source of precise options data for professional finance teams.
Company Size
51-200
Company Stage
Growth Equity (Venture Capital)
Total Funding
N/A
Headquarters
New York City, New York
Founded
1999
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Simplify's Take
What believers are saying
- Equality Asset Management backed OptionMetrics on August 5, 2026, funding expansion and development.
- IvyDB US 7.0 and ETF 5.0 launched February 19, 2026 with better methodologies.
- Intraday IvyDB US on Snowflake targets 0DTE demand and broader quant workflows.
What critics are saying
- ORATS sells cheaper options data and intraday archives, pressuring OptionMetrics pricing since 2026.
- Cboe DataShop and IVolatility offer authoritative or accessible alternatives, weakening renewal leverage.
- A private-equity owner undercuts founder-era independence; integration stumbles could slow product leadership by 2027.
What makes OptionMetrics unique
- IvyDB US spans January 1996 onward, a deep institutional options history moat.
- OptionMetrics pairs historical options with intraday snapshots, Snowflake access, and Genie loaders.
- Borrow-rate-aware pricing and Woodseer dividend forecasts improve model precision versus static datasets.
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Benefits
PTO: Vacation, Personal, Sick days, Holidays
Pre-tax commuter benefits
401(k)
Full medical and dental insurance coverage
Growth & Insights and Company News
6 month growth
↑ 9%1 year growth
↑ 9%2 year growth
↑ 9%Goodwin advises Equality Asset Management on acquisition of OptionMetrics. Professionals The Private Equity team advised Equality Asset Management (EAM) on its acquisition of OptionMetrics, the leading options data and analytics provider for institutional investors and academic researchers worldwide. EAM partners with founder-led software and technology companies that hold category-leading positions in their markets. Its investment gives OptionMetrics additional resources to reach new customer segments, continue to deepen coverage across global markets, and deliver new capabilities to the market faster. Equality Asset Management is a growth-oriented private equity firm. EAM provides equity capital and strategic and operating support to growth companies in the software and software-enabled services sectors. With decades of investment and operating experience, the firm has earned a reputation for value creation, serving as steadfast partners to founders and CEOs.
Leeds Equity Partners has sold OptionMetrics to Equality Asset Management. The financial terms were not disclosed. OptionMetrics founder and chief executive officer David Hait will make a significant reinvestment in the company. Founded in 1999, OptionMetrics provides proprietary options, futures, and equity-linked data and analytics to asset managers, hedge funds, broker dealers, and other professional investors. The company's flagship IvyDB US product delivers over 30 years of comprehensive historical options pricing data and implied volatility calculations. During Leeds Equity's ownership, OptionMetrics expanded its product offerings and invested in innovation whilst maintaining its position as a leading data provider for financial institutions worldwide. The exit represents another successful investment for Leeds Equity in the B2B data sector, following previous investments in datacenterHawk, Fulcrum Financial Data, and TalentNeuron.
OptionMetrics rolls out IvyDB US 7.0 and IvyDB ETF 5.0. OptionMetrics, a historical options data and analytics provider for institutional investors and academic researchers worldwide, today announced the release of IvyDB US 7.0 and IvyDB ETF 5.0, giving investors, hedge funds, and quantitative researchers expanded high-quality options data and more ways in which to leverage it. One of the biggest added benefits of OptionMetrics IvyDB US 7.0 and IvyDB ETF 5.0 is greater flexibility in the methodologies employed in options data calculations. Users can opt for borrow rates - the interest cost associated with holding a stock intended for short sale- or continue to use legacy calculations that do not embed an implied borrow rate. Implied index yields are also now provided in a term structure format for improved calculations. Additionally, dividend forecasts from leading-edge Woodseer Dividend Forecast data are automatically included alongside respective securities in the upgraded datasets, for quantitative finance professionals and others to assess dividend strategies. IvyDB US 7.0 and IvyDB ETF 5.0 also offer even more accurate securities and implied volatility (IV) price metrics with this leading-edge dividend forecast data now also being used in their calculations. "OptionMetrics' IvyDB US 7.0 is our most comprehensive and flexible dataset yet. By leveraging borrow rates and including Woodseer Dividend Forecast data alongside the longstanding gold standard in options data, this update provides more precise valuations and richer data for use in options and equities strategies," said Eran Steinberg, COO at OptionMetrics. OptionMetrics IvyDB US is known as the gold standard in historical options data. It contains a complete historical record of end-of-day data on all US exchange-traded equity and index options (including options on crypto and other ETFs and ADRs) on over 10,000 underlying stocks and indices from January 1996 onward. Users can seamlessly load data from IvyDB US or IvyDB ETF via FTP, Snowflake, and/or OptionMetrics' Genie loader, now also enhanced for easier loading.
OptionMetrics has launched IvyDB US 7.0 and IvyDB ETF 5.0, upgraded versions of its historical options databases for institutional investors and researchers. The updates provide greater flexibility in calculation methodologies, allowing users to incorporate borrow rates or continue with legacy calculations. The new versions include implied index yields in term structure format and automatically integrate dividend forecasts from Woodseer Dividend Forecast data alongside securities. This leading-edge dividend data is also used in calculating securities and implied volatility price metrics for improved accuracy. IvyDB US contains complete historical end-of-day data on all US exchange-traded equity and index options covering over 10,000 underlying stocks and indices from January 1996 onwards. Users can access data via FTP, Snowflake, or OptionMetrics' enhanced Genie loader.
After the market closed on Tuesday, OptionMetrics announced the launch of IvyDB US - Intraday, a dataset providing institutional investors, hedge funds and academic researchers with snapshots of U.S. equity and index options throughout the trading day.