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Financial Engineering Jobs in Texas (NOW HIRING)

Frost Bank

Model Validation Analyst II

San Antonio, TX · On-site

Master's degree in a quantitative field such as Mathematical Finance, Financial Engineering, Statistics, Physics, Management Science, Operations Research, or Economics * 2+ years of experience in the ...

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Financial Engineering information

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$70.8K

$103.2K

$126.7K

How much do financial engineering jobs pay per year?

As of Aug 7, 2026, the average yearly pay for financial engineering in Texas is $103,238.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,200.00 and $116,000.00 per year, depending on experience, location, and employer.

What is the difference between Financial Engineering vs Quantitative Analyst?

AspectFinancial EngineeringQuantitative Analyst
Required CredentialsDegree in Financial Engineering, Mathematics, or related fields; often certifications like CQFDegree in Finance, Mathematics, or Statistics; certifications like CFA or CQF are common
Work EnvironmentFinancial institutions, hedge funds, investment banks; focus on product development and risk managementTrading desks, asset management firms; focus on data analysis and model development
Employer & Industry UsageUsed in risk management, derivatives pricing, and structured productsUsed in trading strategies, portfolio management, and risk assessment

Financial Engineering and Quantitative Analysts often share similar educational backgrounds and work in related financial sectors. While Financial Engineers focus on creating financial products and managing risks through complex models, Quantitative Analysts primarily analyze data to inform trading and investment decisions. Both roles require strong quantitative skills and often overlap in financial institutions.

What is financial engineering?

Financial engineering is the application of mathematical techniques, computer science, and statistical methods to solve problems and create innovative solutions in finance. Professionals in this field develop new financial products, manage risk, and optimize investment strategies using quantitative models. Financial engineers often work in banks, investment firms, hedge funds, or financial technology companies, helping organizations manage complex financial systems and products. The discipline combines finance, mathematics, statistics, and programming to address challenges in areas like derivatives pricing, risk management, and portfolio optimization.

What jobs do financial engineers get?

Financial engineers typically work as quantitative analysts, risk managers, derivatives traders, or financial modelers in banks, investment firms, hedge funds, and financial technology companies. They use skills in mathematics, programming, and financial theory to develop models for pricing, trading, and risk assessment. Certifications like CFA or FRM can enhance job prospects in this field.

What are the key skills and qualifications needed to thrive as a financial engineer, and why are they important?

To thrive as a Financial Engineer, you need a strong background in quantitative analysis, mathematics, programming, and finance, typically supported by a relevant degree such as financial engineering, mathematics, or computer science. Expertise in programming languages like Python, R, or C++, as well as familiarity with financial modeling software and risk management systems, is essential. Strong problem-solving, analytical thinking, and communication skills set top performers apart in this role. These skills are crucial for designing innovative financial products, managing complex risks, and translating quantitative insights into actionable business strategies.

What are some common challenges faced by financial engineers when implementing quantitative models in real-world financial institutions?

Financial engineers often encounter challenges such as aligning complex quantitative models with existing IT infrastructure and ensuring the models comply with regulatory requirements. Additionally, translating theoretical models into practical, scalable solutions that can handle large volumes of real-time data requires close collaboration with software developers and risk managers. Effective communication with non-technical stakeholders is also crucial, as financial engineers must explain model assumptions and results to decision-makers from diverse backgrounds.
What are popular job titles related to Financial Engineering jobs in Texas? For Financial Engineering jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Financial Engineering jobs in Texas look for? The top searched job categories for Financial Engineering jobs in Texas are:
What cities in Texas are hiring for Financial Engineering jobs? Cities in Texas with the most Financial Engineering job openings:
Financial Engineering jobs near you
Infographic showing various Financial Engineering job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $103,238 per year, or $49.6 per hour.

Risk-Dallas-Vice President, Software Engineering-3704179

Goldman Sachs

Dallas, TX • On-site

Other

Re-posted 8 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

47th of 170 rated banks

Job description

Job Duties: Vice President, Software Engineering with Goldman Sachs & Co. LLC in Dallas, TX. Design and implement high-quality, scalable and thoughtful technology solutions leveraging both internal and open-source services. Deliver regular and reliable risk metrics, analytics & insights based on deep understanding of the firm's businesses and activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools. Work with internal teams to develop solution designs and perform User Acceptance Testing in coordination with other Engineering teams in order to integrate and validate newly developed applications. Build robust, systematic & efficient workflows, processes, and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting. Analyze quantitative risk metrics using financial models such as Value at Risk (VaR) and Stress Test measures, to estimate market risk impact on clients and the Firm. Provide training and guidance to junior team members.

Job Requirements: Master's degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Financial Engineering, Finance, Mathematics, or a related field and three (3) years of experience in job offered or a related role OR Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Financial Engineering, Finance, Mathematics, or a related field and five (5) years of experience in job offered or a related role. Prior experience must include three (3) years of experience (with a Master's degree) OR five (5) years of experience (with a Bachelor's degree) with the following skills: programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as Python, Java, C++, SQL and R; developing data visualization and business intelligence solutions using tools such as Tableau, Alteryx, PowerBI, and front-end technologies and languages; assessing market risk measures using VaR, stress testing and greeks; utilizing statistics, time series analysis, and numerical algorithms; and developing risk analytics and interpretation & productivity tools for cultivating insights into risk & capital metric data.

The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

What Goldman Sachs employees say

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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