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Volatility Trader Jobs in Texas (NOW HIRING)

Commodity Trading Internship - 2027

Amarillo, TX

$13.75 - $18.25/hr

  • PTO

The trading intern will practice and grow their understanding in economics, communications ... Adaptable, flexible and able to work in a fast paced, price-volatile, changing environment

... Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading. We are a leading multi-strategy hedge fund, is seeking ...

Portfolio Risk Manager

Houston, TX · On-site

$105K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop and deploy commercial trading and hedging strategies to maximize the profitability of Cobra ... Analyze and price option strategies designed to reduce tail-end risk exposure to market volatility ...

This role requires a proven ability to thrive in a volatile business environment while leading a ... Lead the planning and execution of major industry trade shows across Europe and other global ...

Showing results 21-40

Volatility Trader information

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How much do volatility trader jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for volatility trader in Texas is $40.43, according to ZipRecruiter salary data. Most workers in this role earn between $30.67 and $51.06 per hour, depending on experience, location, and employer.

What are some common challenges volatility traders face when managing risk in dynamic markets?

Volatility Traders often contend with rapidly changing market conditions, which can make accurate pricing and hedging of options particularly challenging. Managing risk requires constant monitoring of market volatility, adjusting positions quickly, and using sophisticated models to predict price movements. Additionally, traders must stay informed about macroeconomic events and news that can cause sudden spikes in volatility. Effective communication with risk managers and other trading team members is essential to manage exposures and ensure compliance with firm-wide risk limits.

What is the difference between Volatility Trader vs Options Trader?

AspectVolatility TraderOptions Trader
Required CredentialsFinance degree, CFA or FRM often preferredFinance degree, CFA, options trading certifications
Work EnvironmentTrading desks, quantitative teams, financial firmsTrading floors, financial institutions, hedge funds
Industry UsageSpecializes in volatility products and strategiesHandles a broad range of options and derivatives

While both roles involve trading financial instruments, a Volatility Trader focuses specifically on volatility-related products and strategies, often using quantitative models. An Options Trader handles a wider array of options and derivatives, including strategies beyond volatility. The roles overlap in skills and environment but differ in scope and focus.

What are the key skills and qualifications needed to thrive as a volatility trader?

To thrive as a Volatility Trader, you need strong quantitative analysis skills, a deep understanding of financial markets and derivatives, and typically a degree in finance, mathematics, or a related field. Familiarity with trading platforms, programming languages like Python or R, and risk management systems is essential. Exceptional decision-making under pressure, attention to detail, and effective communication are standout soft skills. These abilities are critical for accurately assessing market risk, executing complex strategies, and ensuring profitability in highly dynamic trading environments.

What is a volatility trader?

Volatility traders are financial professionals who specialize in trading instruments that profit from changes in market volatility rather than the direction of price movements. They often use derivatives like options, futures, or volatility indices to take positions based on their forecasts of how much an asset's price will fluctuate. Their strategies may involve complex mathematical models and risk management techniques to hedge or exploit changing market conditions. Volatility traders are commonly found in investment banks, hedge funds, and proprietary trading firms.

What are popular job titles related to Volatility Trader jobs in Texas?

For Volatility Trader jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Volatility Trader jobs in Texas look for?

The top searched job categories for Volatility Trader jobs in Texas are:

Infographic showing various Volatility Trader job openings in Texas as of August 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $84,094 per year, or $40.4 per hour.

Quant Analyst - Commodities (Oil)

Verition Group LLC

Houston, TX • On-site

Full-time

Re-posted 8 days ago


Job description

Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in 2008.  Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.

We are seeking a quantitative researcher to join a world class commodities trading team. This role is focused on building and enhancing data, analytics, and quantitative tools that support discretionary trading decisions. The ideal candidate combines strong coding and statistical foundations with practical experience applying machine learning and early-stage AI techniques to real-world problems. Prior exposure to crude oil markets is strongly preferred.

Responsibilities:

  • Develop and maintain Python-based research, analytics, and data pipelines to support trading and market analysis.
  • Design and manage databases and structured data workflows, including SQL-based querying and cloud-hosted data solutions.
  • Build dashboards and interactive tools (e.g., Streamlit) to visualize market data, signals, and risk metrics for the trading desk.
  • Apply statistical techniques and machine learning methods to analyze historical and real-time market data.
  • Contribute to the development and refinement of quantitative signals and core strategies used in commodities trading.
  • Explore and implement practical AI applications, including NLP and neural network-based approaches, where relevant to the trading process.
  • Work closely with the trader to prioritize projects, translate trading intuition into quantitative frameworks, and iterate quickly.

Qualifications:

  • Python (minimum 3+ years of professional experience; required) for data analysis.
  • Prior experience in commodities markets, particularly oil, is strongly preferred.
  • Git / version control (required).
  • Solid applied statistics (e.g., linear and logistic regression, autocorrelation, time-series concepts).
  • Machine learning fundamentals and common tools (e.g., SVMs, model evaluation best practices).
  • SQL and relational databases (e.g., Snowflake).
  • Dashboarding and data visualization (ideally Streamlit).
  • Cloud platforms (AWS, Azure, or similar).
  • Experience working with large, noisy, real-world datasets.
  • Strong conceptual understanding of NLP and neural networks.
  • Motivated to build tools and research that directly impact P&L.