Quantitative Jobs in Texas
Quantitative jobs in Texas are concentrated in finance, energy trading, and technology, with the state ranking among the most active markets in the country for analysts, researchers, and risk professionals at every level from junior analyst to portfolio manager. Houston, Dallas, and Austin drive the majority of hiring, anchored by firms like Citadel, Goldman Sachs, and ExxonMobil, all of which maintain significant quantitative teams in Texas. The most in-demand specialties are quantitative risk modeling, algorithmic trading strategy, and statistical analysis applied to energy markets and financial derivatives. See the openings below and apply to the ones that match your experience.
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Join Asset & Wealth Management (AWM) Finance to lead the delivery and evolution of quantitative forecasting tools that power stress testing and business-as-usual exercises. You'll shape end-to-end Python-based tooling and GenAI-enabled applications, lead a talented team of developers and data scientists, and serve as the trusted point of contact for senior stakeholders across Finance, Risk, and Technology.
As the Quantitative Forecasting Platform Lead in Asset & Wealth Management (AWM) Finance, you will own the roadmap and delivery of forecasting tools spanning model implementation, production-grade Python tooling, and GenAI applications. You'll lead a team of model developers and data scientists, ensure robust controls and governance, and act as the single accountable owner for deliverables and stakeholder communications. You will translate complex technical work into clear outcomes, risks, and decisions for senior, non-technical audiences.
Job Responsibilities
- Own and drive the roadmap for forecasting tools supporting stress test and BAU exercises, including intake, prioritization, delivery planning, and release management
- Ensure tooling is robust, scalable, auditable, and fit-for-purpose across recurring production cycles (data ingestion, transformations, model runs, outputs/reporting, controls)
- Establish and maintain standards for code quality, documentation, testing, and operational readiness
- Implement quantitative models in Python, partnering with model owners and users to translate requirements into production-grade pipelines with full traceability
- Partner with model risk and governance stakeholders to support documentation, testing evidence, explainability, and controlled change management
- Identify, prototype, and productionize GenAI applications that improve productivity and controls for Finance forecasting and analysis workflows, with appropriate guardrails
- Serve as the single accountable owner for forecasting tool deliverables and stakeholder communications, running governance routines (status reporting, risk/issue management, decision logs)
- Translate technical details into clear outcomes, risks, and decisions for non-technical audiences
- Lead and develop a team of quantitative developers and data scientists, managing sprint/capacity planning, delivery milestones, and operational support coverage
- Coach engineers on engineering discipline (CI/CD, testing, packaging, environment management) and Finance domain context
- Ensure controls around data quality, reconciliations, run-time monitoring, lineage, access, and repeatability, and drive incident response, root-cause analysis, and compliant Model Development Life Cycle (MDLC) practices
Required Qualifications, Capabilities, and Skills
- 8+ years of experience in quantitative analytics, model development, data science, financial forecasting, risk modeling, or financial technology
- Strong Python engineering skills, with experience building production-grade data/model pipelines (not just notebooks)
- Proven experience implementing or productionizing quantitative forecasting models (finance, risk, stress testing, or closely related domains)
- Demonstrated ownership of an end-to-end platform or tool used by business users, including production support and lifecycle management
- Experience operating in a stakeholder-heavy environment, managing competing priorities, clarifying requirements, and driving decisions
- Strong written and verbal communication skills, with the ability to produce crisp status updates, articulate risks, and propose options
- Experience leading and developing a team of engineers or data scientists
- Understanding of controls and operational excellence across production cycles (data quality, monitoring, lineage, access, repeatability)
Preferred Qualifications, Capabilities, and Skills
- Experience supporting stress testing and/or regulatory-driven forecasting processes
- Familiarity with model governance / model risk management expectations (documentation, validation support, controls evidence)
- Experience building GenAI applications (e.g., retrieval-augmented generation, workflow assistants, evaluation/monitoring)
- Experience with modern software engineering practices (e.g., CI/CD, automated testing, dependency management)
ABOUT US
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
Join Asset & Wealth Management (AWM) Finance to lead the delivery and evolution of quantitative forecasting tools that power stress testing and business-as-usual exercises. You'll shape end-to-end Python-based tooling and GenAI-enabled applications, lead a talented team of developers and data scientists, and serve as the trusted point of contact for senior stakeholders across Finance, Risk, and Technology.
As the Quantitative Forecasting Platform Lead in Asset & Wealth Management (AWM) Finance, you will own the roadmap and delivery of forecasting tools spanning model implementation, production-grade Python tooling, and GenAI applications. You'll lead a team of model developers and data scientists, ensure robust controls and governance, and act as the single accountable owner for deliverables and stakeholder communications. You will translate complex technical work into clear outcomes, risks, and decisions for senior, non-technical audiences.
Job Responsibilities
- Own and drive the roadmap for forecasting tools supporting stress test and BAU exercises, including intake, prioritization, delivery planning, and release management
- Ensure tooling is robust, scalable, auditable, and fit-for-purpose across recurring production cycles (data ingestion, transformations, model runs, outputs/reporting, controls)
- Establish and maintain standards for code quality, documentation, testing, and operational readiness
- Implement quantitative models in Python, partnering with model owners and users to translate requirements into production-grade pipelines with full traceability
- Partner with model risk and governance stakeholders to support documentation, testing evidence, explainability, and controlled change management
- Identify, prototype, and productionize GenAI applications that improve productivity and controls for Finance forecasting and analysis workflows, with appropriate guardrails
- Serve as the single accountable owner for forecasting tool deliverables and stakeholder communications, running governance routines (status reporting, risk/issue management, decision logs)
- Translate technical details into clear outcomes, risks, and decisions for non-technical audiences
- Lead and develop a team of quantitative developers and data scientists, managing sprint/capacity planning, delivery milestones, and operational support coverage
- Coach engineers on engineering discipline (CI/CD, testing, packaging, environment management) and Finance domain context
- Ensure controls around data quality, reconciliations, run-time monitoring, lineage, access, and repeatability, and drive incident response, root-cause analysis, and compliant Model Development Life Cycle (MDLC) practices
Required Qualifications, Capabilities, and Skills
- 8+ years of experience in quantitative analytics, model development, data science, financial forecasting, risk modeling, or financial technology
- Strong Python engineering skills, with experience building production-grade data/model pipelines (not just notebooks)
- Proven experience implementing or productionizing quantitative forecasting models (finance, risk, stress testing, or closely related domains)
- Demonstrated ownership of an end-to-end platform or tool used by business users, including production support and lifecycle management
- Experience operating in a stakeholder-heavy environment, managing competing priorities, clarifying requirements, and driving decisions
- Strong written and verbal communication skills, with the ability to produce crisp status updates, articulate risks, and propose options
- Experience leading and developing a team of engineers or data scientists
- Understanding of controls and operational excellence across production cycles (data quality, monitoring, lineage, access, repeatability)
Preferred Qualifications, Capabilities, and Skills
- Experience supporting stress testing and/or regulatory-driven forecasting processes
- Familiarity with model governance / model risk management expectations (documentation, validation support, controls evidence)
- Experience building GenAI applications (e.g., retrieval-augmented generation, workflow assistants, evaluation/monitoring)
- Experience with modern software engineering practices (e.g., CI/CD, automated testing, dependency management)
ABOUT US
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
See All 26 Quantitative Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Quantitative JobsQuantitative Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Quantitative Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Education
- Energy
- Science & Research
What Texas Employers Look For
The qualifications that appear most often in quantitative jobs across Texas.
- Bachelor's or advanced degree in mathematics, statistics, finance, or a closely related quantitative field
- Proficiency in Python, R, or MATLAB for data analysis and model development
- Experience with statistical modeling, stochastic calculus, or machine learning methods
- Familiarity with financial derivatives, risk frameworks, or energy commodity markets in Texas
- Strong record of translating quantitative model outputs into actionable business recommendations
- Experience working with large datasets using SQL, pandas, or similar data manipulation tools
Quantitative Jobs in Texas: Frequently Asked Questions
How do you become a quantitative in Texas?
Most quantitative roles in Texas require at minimum a bachelor's degree in mathematics, statistics, physics, or financial engineering, with many firms preferring a master's or doctoral degree for research-focused positions. Texas does not issue a state-specific license for quantitative analysts, so hiring depends on academic credentials, programming ability, and demonstrated modeling experience. Candidates who pursue the CFA designation or FRM certification gain a competitive edge, particularly at Texas-based financial institutions and energy trading firms.
Which companies hire quantitatives in Texas?
Employers hiring quantitatives in Texas right now include ExxonMobil, Goldman Sachs, and USAA, based on current listings on Migrate Mate as of September 2026. Texas's concentration of energy trading firms in Houston and major financial services operations in Dallas creates sustained demand for quantitative talent across both sectors.
Which Texas cities have the most quantitative jobs?
Dallas, Houston, and Spring account for the largest share of quantitative openings in Texas. Houston leads because of the dense cluster of energy trading companies and commodity risk teams headquartered there, while Dallas attracts financial services and fintech employers, and Austin's growing technology sector has added quantitative roles in data science and machine learning at both established firms and startups.
Are there remote quantitative jobs in Texas?
Yes, and more than most fields. About 83% of quantitative openings tied to Texas are remote or hybrid as of September 2026, reflecting the desk-based and analytical nature of the work. Research-oriented and data science roles tend to offer the most remote flexibility, while positions requiring close collaboration with trading desks or risk committees more often require an on-site presence in Houston or Dallas.
How can I get hired as a quantitative in Texas with little or no experience?
The most realistic entry path is through a quantitative internship or rotational analyst program at a Texas-based energy company or financial institution, where firms like ExxonMobil and major Dallas-area asset managers regularly bring on candidates directly from graduate programs. Roles such as junior data analyst, financial analyst, or risk operations associate serve as common lateral entry points. Building a portfolio of independent modeling projects in Python or R and completing the FRM Part I exam signals readiness to Texas hiring managers even without prior industry experience.
Where can I find and apply to quantitative jobs in Texas?
You can find and apply to quantitative jobs in Texas on Migrate Mate, which lists current openings from employers hiring across the state. Search the listings to find roles that match your background and apply directly to the ones that fit your experience and target city.
See All 26 Quantitative Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Quantitative Jobs