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Quantitative Analysis Manager Jobs in Texas (NOW HIRING)

Success in this position requires the ability to translate sophisticated quantitative analysis into actionable insights that drive trading, optimization, hedging, and portfolio management decisions ...

Success in this position requires the ability to translate sophisticated quantitative analysis into actionable insights that drive trading, optimization, hedging, and portfolio management decisions ...

Job Summary We are seeking a Senior Quantitative Risk Manager to develop, enhance, and govern ... Design and improve analytical frameworks for VaR, Expected Shortfall, stress testing, backtesting ...

Job Summary We are seeking a Senior Quantitative Risk Manager to develop, enhance, and govern ... Design and improve analytical frameworks for VaR, Expected Shortfall, stress testing, backtesting ...

You will work closely with portfolio managers, developers, and other researchers to turn data into ... Solid programming and data analysis skills in Python and/or R * Exposure to machine learning ...

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Quantitative Analysis Manager information

See Texas salary details

$41K

$99.5K

$161.2K

How much do quantitative analysis manager jobs pay per year?

As of Jul 28, 2026, the average yearly pay for quantitative analysis manager in Texas is $99,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,000.00 and $134,600.00 per year, depending on experience, location, and employer.

What is the difference between Quantitative Analysis Manager vs Quantitative Analyst?

AspectQuantitative Analysis ManagerQuantitative Analyst
CredentialsBachelor's or Master's in Finance, Economics, or related; often requires experience in managementBachelor's or Master's in Mathematics, Statistics, Finance, or related
Work EnvironmentLeads teams, oversees projects, collaborates with senior managementPerforms data analysis, models, and reports, often independently or in small teams
Industry UsageUsed across finance, investment firms, and hedge funds in managerial rolesCommon in trading firms, banks, and asset management for analytical tasks

The main difference is that a Quantitative Analysis Manager oversees teams and strategic projects, while a Quantitative Analyst focuses on performing data analysis and developing models. The manager role involves leadership and decision-making responsibilities, whereas the analyst role emphasizes technical skills and analysis execution.

How hard is it to get a job as a quantitative analyst?

Securing a position as a quantitative analysis manager typically requires a strong background in mathematics, statistics, and programming, often including advanced degrees such as a master's or Ph.D. in a related field. Competition can be high due to the specialized skill set, but relevant experience, proficiency in tools like Python or R, and certifications such as CFA or CQF can improve chances. The role often involves rigorous analytical work and long hours, especially in finance or risk management environments.

What are the key skills and qualifications needed to thrive as a Quantitative Analysis Manager, and why are they important?

To thrive as a Quantitative Analysis Manager, you need advanced quantitative and statistical skills, a strong background in mathematics, finance, or economics, and typically a relevant postgraduate degree. Expertise in data analysis tools such as Python, R, MATLAB, SQL, and experience with financial modeling software or risk management systems are essential. Strong leadership, communication, and problem-solving abilities help you effectively manage teams and present complex findings to non-technical stakeholders. These skills and qualities are crucial for driving data-driven decision-making, optimizing business strategies, and ensuring accurate risk assessment.

What does a Quantitative Analysis Manager do?

A Quantitative Analysis Manager oversees teams that use mathematical models and statistical techniques to analyze financial data, assess risk, and support decision-making processes. They are responsible for developing and implementing quantitative models, ensuring data accuracy, and interpreting analytical results for senior management. Their work is crucial in areas like investment strategy, risk management, and financial planning. In addition to technical expertise, they often manage projects and collaborate across departments to align analytics with business goals.

What jobs use quantitative analysis?

Quantitative analysis is used in a variety of jobs including financial analysts, data scientists, risk managers, and investment managers. These roles involve analyzing numerical data, developing models, and using tools like Excel, SQL, or statistical software to inform decision-making and strategy.

How does a Quantitative Analysis Manager typically collaborate with other departments within a financial organization?

A Quantitative Analysis Manager regularly works with cross-functional teams such as risk management, trading, IT, and senior leadership. Collaboration often involves translating complex quantitative models into actionable strategies or tools for non-technical stakeholders, ensuring alignment with business goals. Effective communication and teamwork are crucial, as the manager must explain model assumptions, results, and limitations to guide decision-making across departments. These collaborative efforts foster a deeper understanding of financial risks and opportunities, ultimately supporting the organization’s growth and compliance.

What is quant analytics salary?

The salary for a Quantitative Analysis Manager typically ranges from $100,000 to $200,000 annually, depending on experience, location, and industry. Senior roles or those in financial hubs may offer higher compensation, often supplemented with bonuses and benefits. Strong skills in programming, statistical analysis, and financial modeling are essential for this role.

What does a quantitative manager do?

A quantitative analysis manager oversees the development and implementation of mathematical models and statistical techniques to analyze financial data, assess risk, and support investment decisions. They often use programming languages like Python or R and require strong analytical skills, financial knowledge, and experience with data analysis tools. Their role involves managing teams, interpreting complex data, and ensuring models align with business strategies.
What cities in Texas are hiring for Quantitative Analysis Manager jobs? Cities in Texas with the most Quantitative Analysis Manager job openings:

Senior Manager, Nodal Markets & Quantitative Analysis

Direct Energie

Houston, TX • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Nodal Markets & Quantitative Analysis Senior Manager

The Nodal Markets & Quantitative Analysis Senior Manager provides critical insights on nodal market dynamics to optimize investment decisions, support long-term portfolio management, and enable Corporate PPA teams. As a manager, this role organizes and coordinates the activity of the team. As a leader, the role presents the team's results to senior management. This position is able to sit at our Houston, TX headquarters or our Berkeley, CA office.

Accountabilities

The Nodal Markets & Quantitative Analysis Senior Manager gathers knowledge from across the organization as well as external sources to deliver nodal price forecasts to senior management. Once validated, these forecasts serve as a key input into the Company's investment decision-making processes.

Key Responsibilities

Collaboration & Stakeholder Management

  • Collaborate closely with cross-functional teams in the U.S. and at Headquarters, including fundamental market analysis, R&D teams, IT & Digital country experts, trading, portfolio management, and regulatory teams, to align market analysis and modeling activities with overall business objectives.
  • Effectively communicate insights and recommendations to senior management and other stakeholders.
  • Become an internal reference on local nodal market dynamics.

Market, Asset & Benchmark Analysis

  • Conduct in-depth analysis of U.S. power markets, including supply, demand, transmission dynamics, price trends, regulatory changes, and technology costs.
  • Perform asset analysis and benchmark internal and external scenarios, with the ability to clearly explain differences.
  • Ensure models are updated to reflect multiple scenarios.

Data Collection & Management

  • Collect and organize relevant data from various sources, including market reports, databases, and internal systems.
  • Ensure data accuracy and integrity.
  • Develop robust methodologies for data analysis and interpretation.

Model Development & Digital Tools

  • Act as the business leader in the development of accurate models and algorithms to forecast long-term nodal power markets.
  • Master the underlying digital products used for modeling.
  • Manage the modeling roadmap in close coordination with development teams.

Business Use Cases & Decision Support

  • Run and deliver key business use cases, including basis analysis, hourly price forecasts for the asset portfolio, and support for investment decisions.
  • Master the local supply, demand, and transmission context of TotalEnergies' power generation portfolio.
  • Run sensitivities and explain market dynamics clearly to stakeholders.

Industry Awareness & Thought Leadership

  • Stay current on industry trends, regulatory developments, and emerging technologies in the power sector.
  • Participate in industry conferences, events, and regulatory forums.
  • Share market analysis expertise internally and position the team as a thought leader in the power market domain.

Project Management

  • Propose and deliver the U.S. roadmap for nodal market modeling activities.
Candidate Profile

Required Education:

  • Master's degree or PhD in economics, finance, engineering, or a related field.

Required Skills & Experience:

  • Proven experience (10-15 years) in power market analysis or a similar analytical role within the energy sector.
  • In-depth knowledge of ERCOT and/or PJM markets, including electricity pricing, market fundamentals, regulatory frameworks, and policy dynamics.
  • Excellent communication and presentation skills, with the ability to effectively convey complex information to both technical and non-technical stakeholders. Project management skills are a plus.
  • Proficiency in statistical analysis, forecasting techniques, and data modelling.
  • Experience with statistical software (such as Python, R, or MATLAB) and Modelling softwares (such as BID3, Plexos or PSO) is required.
  • Demonstrated industry awareness and a track record in the power market domain.
  • Knowledge of energy industry trends, renewable energy technologies, and environmental regulations is highly desirable.
Additional Information

TotalEnergies valorise la diversit, promeut le dveloppement individuel et offre des opportunits d'emploi gales tous les candidats.

TotalEnergies offers a competitive salary, the opportunity to contribute to innovative and responsible energy solutions, and the chance to work alongside dedicated experts across disciplines. Employees are eligible for a comprehensive benefits package that includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short- and Long-Term Disability; a 401(k) plan with both matching and non-matching employer contributions; Flexible Spending and Health Savings Accounts; Employee Assistance Program (EAP); Educational Assistance; a generous fitness reimbursement; Parental Leave, Paid Time Off, and 12 Paid Holidays.

International Consideration TotalEnergies regrets that it is unable to sponsor employment Visas or consider individuals on time-limited visa status for this position.

TotalEnergies celebrates diversity and is committed to Equal Employment Opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, protected veteran status, disability status or any other category protected under applicable federal, state or local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. TotalEnergies believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop, and retain the most talented people from a diverse candidate pool.