1

Financial Engineering Jobs in Texas (NOW HIRING)

Tagetik developer Job Location: Plano, TX (Onsite) We are seeking an experienced Developer with ... Design, develop, and maintain Tagetik-based solutions for financial planning, budgeting ...

Senior OpenLink Developer

Houston, TX · On-site

$52 - $68.75/hr

Bachelor's degree in Computer Science, MIS, Finance, Economics, Business, Financial Engineering, or a related field Bonus Points For * Previous consulting experience within a management consulting or ...

Senior OpenLink Developer

Houston, TX

$52 - $68.75/hr

Bachelor's degree in Computer Science, MIS, Finance, Economics, Business, Financial Engineering, or a related field Bonus Points For * Previous consulting experience within a management consulting or ...

Showing results 21-40

Financial Engineering information

See Texas salary details

$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:
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.

Controllers, Reporting, Vice President, Dallas, Software Engineering

Goldman Sachs, Inc.

Dallas, TX • On-site

Full-time

Re-posted 14 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


What We Do
At Goldman Sachs, our Engineers don't just make things - we make things possible. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.
The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm's and divisions' leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm.
OUR Impact:
Controllers Engineering is responsible for designing and implementing solutions to manage the firm's P&L, measure and monitor the firm's capital, balance sheet and liquidity metrics, and regulatory obligations across the globe. Our teams (based across Americas, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulators for both regular business activity and stress scenarios.
YOUR Impact:
As a Vice President, you will serve as a technical architect and organizational leader, driving critical initiatives forward and providing strategic direction to global agile teams. You are responsible for the end-to-end delivery of mission-critical platforms and creating solutions ranging from deterministic automation to agentic workflows. Our team of engineers builds solutions to the most complex problems, developing cutting-edge software and platforms that form the core of our key business and enable transactions to move in milliseconds. We provide real-time access to essential information and process millions of data points daily to inform firm-wide market insights and strategies. Your role is to create, own and continuously improve these solutions, driving their growth and impact throughout the organization, championing engineering best practices and driving organizational change to maximize their impact.
This position provides a unique opportunity to gain subject matter expertise in both technology and finance, and to directly drive initiatives alongside colleagues and senior management from across the business, Risk, Finance, and Engineering to align technical execution with overarching strategic goals.
RESPONSIBILITIES AND QUALIFICATIONS:
Design and implement scalable cloud-native business systems.
Manage, mentor, and grow a high-performing team of software and AI engineers. Foster a culture of continuous learning, collaboration, and technical excellence.
Run AI driven spec driven development SDLCs to solve complex financial and technical problems.
Champion and enact organizational change. Streamline engineering processes, improve cross-functional workflows, and drive the adoption of new technologies and best practices across the department.
Maintain strong organizational oversight of multiple concurrent projects, ensuring they are delivered on time, within scope, and to the highest quality standards.
Build and maintain key financial metric calculation models and associated infrastructure to support forward-looking business strategies and decisions in an evolving regulatory landscape.
Work closely with a wide range of stakeholders globally, across multiple divisions of the firm.
SKLLS AND EXPERIENCE WE ARE LOOKING FOR
• Bachelor's or master's degree in computer science or related technical discipline
• 10+ years of hands-on software development including lead developer roles
• Experience architecting solutions on Cloud (ex. AWS, GCP, Azure)
• Experience with integrating LLMs into enterprise workflows
• Experience utilizing AI coding tools such as Copilot or Claude Code for development
• Experience developing preferably in Java or Python, competent in traditional (RDBs) and/or modern datastores (ex. Snowflake, Dynamo DB, Mongo DB)
• A strong passion for and history of solving complex, multi-faceted problems in a fast-paced environment
• Strong full-stack technical design, development skills and experience
• Experience managing engineering teams, conducting performance reviews, and guiding career development for senior and junior staff
• Demonstrate ability to lead organizational change, influence engineering culture, and drive process improvements
• Excellent communication skills including experience speaking to technical and business audiences globally
• Preferred previous experience working in the finance, banking, or FinTech industry. Familiarity with financial data and regulatory environments is a significant plus.

What Goldman Sachs employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Goldman Sachs logo

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