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Financial Engineer Jobs in Texas (NOW HIRING)

AssetMark

Financial Calculations Developer

Austin, TX

$110K - $135K/yr

Position Summary Voyant is looking for a server-side Java developer to help design, build, and enhance our core financial calculation engine. This role is ideal for someone who enjoys solving complex ...

AssetMark, Inc.

Financial Calculations Developer

Austin, TX · On-site

$110K - $135K/yr

Position Summary Voyant is looking for a server-side Java developer to help design, build, and enhance our core financial calculation engine. This role is ideal for someone who enjoys solving complex ...

Futurerecruit.net

Financial Analyst

Houston, TX · On-site

Contribute to a work environment that is consistent with Beacon's values What you will need: * BS degree in business, finance, engineering, accounting or economics * Analytical thinker with 1-3 years ...

Amaze Systems Inc

Tagetik developer

Plano, TX · On-site

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 ...

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All JobsFinancial Engineer JobsFinancial Engineer Jobs in Texas

Financial Engineer information

See Texas salary details

$70.8K

$103.2K

$126.7K

How much do financial engineer jobs pay per year?

As of Jul 25, 2026, the average yearly pay for financial engineer 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 Engineer vs Quantitative Analyst?

AspectFinancial EngineerQuantitative Analyst
Required CredentialsDegree in finance, mathematics, or engineering; often CFA or FRM certificationsDegree in finance, mathematics, or statistics; often CFA or FRM certifications
Work EnvironmentFinancial institutions, hedge funds, investment banksAsset management firms, hedge funds, investment banks
Job FocusDeveloping complex financial models, derivatives pricing, risk managementData analysis, model development, trading strategies
Common UsageDesigning financial products and strategiesAnalyzing data to inform trading decisions

Financial Engineers and Quantitative Analysts share similar educational backgrounds and certifications, often working in similar environments like investment banks and hedge funds. While Financial Engineers focus on creating complex financial models and derivatives, Quantitative Analysts primarily analyze data to support trading strategies. Both roles require strong quantitative skills and contribute to financial innovation and risk management.

What engineers make $500,000?

Senior financial engineers, especially those working in hedge funds, investment banks, or private equity firms, can earn $500,000 or more annually through base salary, bonuses, and profit sharing. High-level roles often require advanced quantitative skills, experience, and sometimes certifications like the CFA or FRM.

What engineers make $300,000 a year?

Financial engineers, also known as quantitative analysts or quants, can earn $300,000 or more annually, especially with experience, advanced degrees, and skills in programming, mathematics, and financial modeling. High compensation is common in hedge funds, investment banks, and proprietary trading firms where complex risk management and algorithmic trading are involved.

What are some common challenges Financial Engineers face when developing quantitative models, and how can they address them?

Financial Engineers often encounter challenges such as ensuring model accuracy, dealing with incomplete or noisy data, and adapting models to rapidly changing market conditions. Addressing these issues typically requires strong collaboration with data scientists, risk managers, and traders to validate assumptions and stress-test models under various scenarios. Staying current with industry trends and regulatory requirements also helps Financial Engineers maintain robust, compliant solutions that add value to their organizations.

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 mathematics, statistics, finance, and programming, typically supported by a degree in quantitative fields such as finance, mathematics, engineering, or computer science. Familiarity with technical tools like Python, R, MATLAB, financial modeling software, and sometimes certifications like CFA or FRM is highly valued. Exceptional problem-solving, analytical thinking, and the ability to communicate complex concepts clearly are vital soft skills. These skills and qualifications are crucial for designing innovative financial models, managing risks, and enabling data-driven decision-making in complex financial environments.

What engineers make $200,000 a year?

Senior financial engineers, especially those with advanced quantitative skills, experience, and expertise in areas like risk management, derivatives, or algorithmic trading, can earn $200,000 or more annually. High compensation often includes bonuses and performance incentives, particularly in financial hubs or large firms. Certifications such as CFA or FRM can also enhance earning potential in this field.

What is the work of a financial engineer?

A financial engineer develops mathematical models and uses quantitative techniques to analyze financial markets, manage risk, and create investment strategies. They often work with programming tools like Python or C++ and require strong skills in mathematics, finance, and computer science. Their work supports trading, risk management, and financial product development.

What Is a Financial Engineer?

A financial engineer, also called a computational engineer, advises clients on investment strategies and risk management based on quantitative analysis of their portfolio and the atmosphere in the stock market. As a financial engineer, your job duties include analyzing the stock market to predict how stocks will perform, building models of trends in the stock market based on market history, and make recommendations on how to manage their portfolio.

What is a Financial Engineer?

A Financial Engineer is a professional who applies mathematical techniques, computational tools, and financial theory to solve complex problems in finance. They are often involved in designing financial products, developing risk management strategies, and building quantitative models for pricing, trading, and portfolio management. Financial Engineers typically work for banks, investment firms, or financial technology companies, and their expertise is essential for managing financial risks and innovating new financial instruments.
More about Financial Engineer jobs
What are the most commonly searched types of Financial Engineer jobs in Texas? The most popular types of Financial Engineer jobs in Texas are:
What are popular job titles related to Financial Engineer jobs in Texas? For Financial Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Financial Engineer jobs in Texas look for? The top searched job categories for Financial Engineer jobs in Texas are:
What cities in Texas are hiring for Financial Engineer jobs? Cities in Texas with the most Financial Engineer job openings:
What are popular job titles related to Financial Engineer jobs in TX? For Financial Engineer jobs in TX, the most frequently searched job titles are:
Financial Engineer jobs near you
Infographic showing various Financial Engineer job openings in Texas as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $103,238 per year, or $49.6 per hour.
Sr. Machine Learning Engineer - Finance

Sr. Machine Learning Engineer - Finance

Apple

Austin, TX • On-site

Full-time

Posted 8 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 674 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and curiosity to your job and there's no telling what you could accomplish. Do you love thinking analytically? Just as our customers find value in Apple products, the Finance group finds value for both Apple and its shareholders.
As a machine learning engineer in Finance, you'll play an integral and global role in building the data foundations, services, and platforms used for delivering insights and automating decisions for Apple's Finance organization.
Description
This role will require you to be collaborative by learning intra-team and business process in order to build infrastructure and services to enable an effective Machine Learning practice. You will help lead the charge by developing a strong ML Ops process in a dynamic Finance environment where you will deal with unique challenges specific to Finance organizations, such as SOX and regulatory compliance. Your ability to instill and proliferate strong software engineering practices into team data science and machine learning processes will be critical.
Minimum Qualifications
Undergraduate degree (computer science, data science, finance, economics, accounting, or related business discipline) with seven years demonstrated experience
Experience building data models and scalable pipelines using SQL and big data technologies, with expertise in data ops best practices
Experience developing in Python while following DRY principles, modularity, and testing standards, with version control, code review.
Experience applying ML algorithms for regression, classification, and anomaly detection; build generative AI and agentic solutions; implement MLOps/LLMOps including CI/CD, drift monitoring, and cloud platforms (AWS, GCP, Azure)
Ability to explain technical details to non-technical audiences
Understands and advocates version control, test driven development and strong CI/CD process
Preferred Qualifications
Graduate degree (computer science, data science, math, quantitative finance, or similar discipline) with five years experience
Previous experience working in a corporate finance, accounting, or supply chain organization
Understanding of or ability to learn financial statements, P&L impact, high level accounting principles, SOX and tax compliance and month-end close process
Experience with front end (.js experience)

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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