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Phd Quant Jobs in Texas (NOW HIRING)

Apple

Quantitative User Researcher

Austin, TX · On-site

Apple is seeking a Quantitative User Researcher to join our team supporting the design and ... PhD.) in Biomedical Engineering, Human Factors, Experimental Psychology, HCI, or a related field ...

Apple

Quantitative User Researcher

Austin, TX · On-site

Apple is seeking a Quantitative User Researcher to join our team supporting the design and ... PhD.) in Biomedical Engineering, Human Factors, Experimental Psychology, HCI, or a related field ...

Apple Inc.

Quantitative User Researcher

Austin, TX · On-site

$150 - $200/hr

Apple is seeking a Quantitative User Researcher to join our team supporting the design and ... Advanced degree (PhD.) in Biomedical Engineering, Human Factors, Experimental Psychology, HCI, or a ...

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Phd Quant information

What is a PhD Quant?

A PhD Quant, short for Quantitative Analyst with a PhD, is a professional who uses advanced mathematical, statistical, and computational techniques to analyze financial markets and develop complex models for trading, risk management, or investment strategies. They typically work in banks, hedge funds, or financial technology firms. PhD Quants leverage their deep expertise in fields like mathematics, physics, computer science, or engineering to solve challenging problems and gain insights that drive financial decision-making. Their work often involves programming, data analysis, and the implementation of quantitative models.

What are the key skills and qualifications needed to thrive as a PhD Quant?

To thrive as a PhD Quant, you need a strong background in mathematics, statistics, and programming, typically supported by a PhD in a quantitative field such as mathematics, physics, finance, or engineering. Expertise in technical tools such as Python, C++, R, and experience with statistical modeling systems and quantitative finance libraries is expected. Analytical thinking, problem-solving abilities, and effective communication are standout soft skills in this role. These skills and qualities are crucial for developing complex models, interpreting data accurately, and collaborating across multidisciplinary teams in high-stakes financial environments.

What are the typical collaboration dynamics for a PhD Quant within a financial institution?

PhD Quants frequently work in close collaboration with traders, risk managers, and software engineers to develop and implement quantitative models for pricing, risk assessment, and trading strategies. While a significant portion of the work involves independent research and model development, regular meetings and cross-functional teamwork are essential to ensure models align with business objectives and regulatory requirements. Effective communication skills are important, as PhD Quants often need to explain complex mathematical concepts to colleagues with varying technical backgrounds.

What is the difference between Phd Quant vs Quant Analyst?

AspectPhd QuantQuant Analyst
Required CredentialsPhD in Mathematics, Statistics, or related fieldBachelor's or Master's degree, often with quantitative skills
Work EnvironmentResearch-focused, often in finance or hedge fundsTrading floors, financial institutions, or asset management firms
Industry UsagePrimarily in hedge funds, investment banks, and proprietary tradingIn asset management, hedge funds, and banks

The main difference between a Phd Quant and a Quant Analyst lies in their educational background and focus. Phd Quants typically hold doctoral degrees and focus on developing complex models and research, while Quant Analysts often have master's or bachelor's degrees and focus on applying models to trading strategies. Both roles are integral to quantitative finance but differ in scope and depth of research.

Do quant firms hire PhDs?

Quant firms frequently hire PhDs, especially in fields like mathematics, physics, computer science, and engineering, to develop and implement complex trading algorithms and models. Candidates typically need strong quantitative skills, programming experience in languages such as Python or C++, and a solid understanding of financial markets. A PhD can provide a competitive edge in securing roles in quantitative research, trading, or risk management within these firms.

How much do PhD quants make?

PhD quants typically earn between $150,000 and $300,000 annually, with compensation increasing based on experience, location, and the complexity of their quantitative models. Many also receive bonuses and profit-sharing, especially in finance and hedge fund environments where advanced statistical and programming skills are essential.

What are popular job titles related to Phd Quant jobs in Texas?

For Phd Quant jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Phd Quant jobs in Texas look for?

The top searched job categories for Phd Quant jobs in Texas are:

What cities in Texas are hiring for Phd Quant jobs?

Cities in Texas with the most Phd Quant job openings:

Phd Quant jobs near you
Infographic showing various Phd Quant job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

VP/Director, Quantitative Analyst - Commodities Quantitative Strategies and Data Group

Bank of America

Houston, TX • On-site

Full-time

PTO

Re-posted 25 days ago

Key responsibilities

  • Develop, implement, and maintain pricing and risk models for a wide range of commodities derivatives.

  • Design and build scalable model pricing code and quantitative software platforms that support risk analytics and trading needs.

  • Write high-quality production code in C++ and Python, and collaborate with model validation and risk control teams throughout the model approval lifecycle.

Bank Of America rating

8.3

Company rating: 8.3 out of 10

Based on 537 frontline employees who took The Breakroom Quiz

48th of 175 rated banks

Job description

Job Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Job Description:
We are seeking a talented and driven Quantitative Analyst to join our Commodities Quantitative Strategies and Data Group (QSDG). This mid-to-senior level role focuses on the design, implementation, and maintenance of cutting-edge derivative pricing models and volatility modelling tools used across our global commodities trading business. The ideal candidate will have a strong background in quantitative finance, robust software development skills in both C++ and Python, and prior experience working on derivatives pricing models. Experience in commodities is preferred, with particular interest in candidates who have worked on gas and power products, energy derivatives, volatility modelling, or complex physical/financial commodity products. Candidates from FX, equities, rates or other asset classes with strong derivatives pricing and volatility modelling experience will also be considered.
Given the nature of the role, we are especially interested in candidates who can combine strong modelling intuition with hands-on implementation skills, including the ability to develop and support pricing models and analytics library in production.
Key Responsibilities:
  • Develop, implement, and maintain pricing and risk models for a wide range of commodities derivatives.
  • Work on pricing models for commodities products, with potential focus areas including power, gas, spread options, storage, structured products, and other non-standard commodity derivatives.
  • Design and build scalable model pricing code and quantitative software platforms that support risk analytics and trading needs.
  • Work closely with traders, structurers, and risk managers to deliver high-performance analytics and model-driven tools.
  • Write high-quality production code in C++ and Python, and contribute to the ongoing modernization of the analytics infrastructure.
  • Write comprehensive model documentation to support internal governance and regulatory requirements.
  • Collaborate with model validation and risk control teams throughout the model approval lifecycle.
  • Support day-to-day analytics needs and participate in the continuous improvement of the platform.

Qualifications:
  • Advanced degree (MSc/PhD) in a quantitative discipline such as Mathematics, Physics, Computer Science, Financial Engineering, or related quantitative field.
  • Experience in a quantitative analytics or quantitative development role within a financial institution or a relevant industry.
  • Strong experience in pricing and modelling derivatives, preferably in commodities, but FX, equities, or other complex products also considered.
  • Solid knowledge of volatility modelling techniques and derivative pricing theory.
  • Proficiency in C++ and Python for numerical computing and model development.
  • Knowledge of working within a structured software development environment. Use of source code control systems, continuous integration environments, testing, release processes, etc.
  • Excellent problem-solving skills, attention to detail, and strong communication abilities.
  • Experience with model documentation and familiarity with model validation processes is a strong plus.

Preferred Skills:
  • Exposure to commodities markets (including, but not limited to power markets, gas and power products, power options, structured power products, heat-rate products, storage, transmission, weather-linked products, or other energy derivatives).
  • Familiarity with Monte Carlo methods, PDE solvers, and volatility calibration techniques.

Hours Per Week:
40
Travel Required:
Yes, 5% of the time
Pay Transparency details
US - NY - New York - ONE BRYANT PARK - BANK OF AMERICA TOWER (NY1100)
Pay and benefits information
Pay range
$100,000.00 - $300,000.00 annualized salary, offers to be determined based on experience, education and skill set.
Discretionary incentive eligible
This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.
Benefits
This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

What Bank Of America employees say

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About Bank Of America

Sourced by ZipRecruiter

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

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