# Quantitative Researcher - Volatility (USA)

**Company:** [Trexquant](https://hotfix.jobs/companies/trexquant)
**Location:** Stamford, CT, New York, NY
**Role:** Data Science
**Salary:** $130k – $200k/yr
**Experience:** 5+ years
**Skills:** Python, C++, Statistical Modeling, Volatility Modeling, Options Pricing, Quantitative Finance, Backtesting, Data Analysis, Financial Data, Trading Strategies
**Posted:** 2025-10-16

> Develops volatility trading strategies, builds pricing tools, calibrates implied volatility surfaces, and analyzes large datasets for alpha signals in volatility markets. Requires 5+ years in quantitative research focused on volatility, Python proficiency, and STEM degree.

## Job Description

## Responsibilities
- Build and maintain proprietary pricing/analytics tooling for volatility research.
- Calibrate implied volatility surfaces across single stock, index, ETF options and more.
- Work with developers to productionize models and integrate them into backtesting and live trading systems.
- Design, implement, and optimize trading strategies to predict volatility market trends using extensive financial data and a wide array of trading signals.
- Parse and analyze large datasets to identify actionable alpha signals and develop strategies for volatility trading.
- Explore and apply cutting-edge academic research in quantitative finance to assess, refine, and enhance the profitability of trading strategies.
- Continuously innovate and improve existing models by integrating new data sources and advanced techniques to boost performance and scalability.
- Collaborate closely with a team of experienced quantitative researchers to conduct experiments, backtest hypotheses, and refine strategies through rigorous simulations and data analysis.

## Requirements
- BS/MS/PhD degree in a STEM field.
- 5+ years of experience in quantitative research, specifically focused on volatility markets.
- Proficiency in programming languages like **Python** and statistical modeling.
- Experience with industry volatility models; strong understanding of options pricing.
- Familiarity with **C++** a nice to have.
- Strong problem-solving skills with an ability to work effectively both independently and as part of a team.

## Benefits
- Competitive salary, plus bonus based on individual and company performance.
- Base salary $130,000 to $200,000, determined by education and experience.
- PPO Health, dental and vision insurance premiums fully covered for you and your dependents.
- Pre-Tax Commuter Benefits.

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