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Model Validation Manager Jobs in Texas (NOW HIRING)

JPI is committed to data-driven management and continuous improvement. Its team of experts utilizes ... and proprietary models - to ensure that every decision is strategic, focused, and produces ...

Data Scientist

Austin, TX · On-site

$90 - $130/hr

... management, etc. * Experience building machine learning models such as Regression, supervised ... Experience with model validation, measuring model bias, measuring model drift, etc. * Experience ...

... Validation Risk Manager, you will play a pivotal role within our Risk & Regulatory practice ... You will utilize skills in data manipulation, visualization, and statistical modeling to support ...

Understand and interpret owner requirements related to model validation and turnover with the oversightfrom aSenior VDC Manger or Director of VDC * Independently manage theBIM process throughtheearly ...

Guide field-facing digital workflows including; digital layout, laser scanning, drone site capture, model validation, and as-built deliverable verification. * Proactively capture, manage, and ...

... validation, and model implementation. (40 hours / week, 8:00am-5:00pm, Salary Range $76128 ... management systems including EWFM, IEX, or Aspect - Forecasting; developing automated reporting ...

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

... experimental design, and model validation. - Experience with data pipelines and relevant ... Skills & Abilities - Ability to independently manage and deliver on complex projects. - Strong ...

Showing results 41-60

Model Validation Manager information

See Texas salary details

$44.3K

$98.2K

$149.5K

How much do model validation manager jobs pay per year?

As of Aug 15, 2026, the average yearly pay for model validation manager in Texas is $98,211.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,400.00 and $123,000.00 per year, depending on experience, location, and employer.

How does a model validation manager collaborate with other teams during the model validation process?

A Model Validation Manager works closely with model developers, risk management teams, and internal audit to ensure models meet regulatory and business standards. Collaboration often involves reviewing model documentation, discussing model assumptions and methodologies, and providing feedback for improvements. Effective cross-functional communication is essential, as validation managers must balance technical analysis with regulatory compliance and business objectives. Regular meetings and clear reporting lines help facilitate this collaboration, ensuring that model risks are identified and addressed promptly.

What is the difference between Model Validation Manager vs Quantitative Analyst?

AspectModel Validation ManagerQuantitative Analyst
CredentialsTypically requires advanced degrees in finance, mathematics, or statistics; certifications like CFA or FRM are commonOften holds degrees in finance, economics, or mathematics; certifications like CFA are also common
Work EnvironmentWorks in risk management, model validation teams within banks or financial institutionsWorks in trading, investment analysis, or risk departments within financial firms
Industry UsagePrimarily in banking, asset management, and financial services for model risk assessmentAcross investment firms, hedge funds, and banks for market analysis and trading strategies

The Model Validation Manager focuses on reviewing and validating financial models to ensure accuracy and compliance, often working within risk management teams. In contrast, a Quantitative Analyst develops and applies mathematical models for trading, investment, or risk purposes. While both roles require strong quantitative skills and similar credentials, their core responsibilities and work environments differ significantly.

What skills and qualifications are needed to be a model validation manager?

To thrive as a Model Validation Manager, you need strong quantitative analysis skills, knowledge of risk management, and an advanced degree in mathematics, statistics, finance, or a related field. Familiarity with technical tools such as Python, R, SAS, and model risk management frameworks, as well as experience with regulatory compliance, is typically required. Exceptional problem-solving, communication, and stakeholder management abilities are important soft skills for this role. These skills ensure effective validation of financial models, regulatory compliance, and clear communication of complex findings to non-technical audiences.

What does a model validation manager do?

A Model Validation Manager is responsible for overseeing the validation of financial, risk, or predictive models within an organization. Their primary duties include ensuring that models are accurate, reliable, and compliant with regulatory requirements. They lead teams that assess model performance, identify potential weaknesses, and recommend improvements. This role helps maintain the integrity of models used in decision-making processes, particularly in industries like banking and finance.

What are the most commonly searched types of Model Validation jobs in Texas?

The most popular types of Model Validation jobs in Texas are:

What are popular job titles related to Model Validation Manager jobs in Texas?

For Model Validation Manager jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Model Validation Manager jobs in Texas look for?

The top searched job categories for Model Validation Manager jobs in Texas are:

What cities in Texas are hiring for Model Validation Manager jobs?

Cities in Texas with the most Model Validation Manager job openings:

Infographic showing various Model Validation Manager job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 11% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $98,211 per year, or $47.2 per hour.

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

Bank of America

Houston, TX • On-site

Full-time

PTO

Re-posted 2 days ago


Bank Of America rating

8.2

Company rating: 8.2 out of 10

Based on 527 frontline employees who took The Breakroom Quiz

51st of 171 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.

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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

Year founded

1998

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