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Financial Engineer Jobs in Texas (NOW HIRING)

MSCI

Financial Data Engineer

Addison, TX · On-site +1

$85K - $111K/yr

Bachelor degree in Computer Science, Data Science, Financial Engineering, Quantitative Finance, or a related sciences/technology field, or equivalent experience * 3-5 years of experience in any/all ...

MSCI

Financial Data Engineer

Addison, TX

$85K - $111K/yr

Bachelor degree in Computer Science, Data Science, Financial Engineering, Quantitative Finance, or a related sciences/technology field, or equivalent experience * 3-5 years of experience in any/all ...

MSCI

Financial Data Engineer

Dallas, TX · On-site

$85K - $111K/yr

Bachelor degree in Computer Science, Data Science, Financial Engineering, Quantitative Finance, or a related sciences/technology field, or equivalent experience * 3-5 years of experience in any/all ...

MSCI

Financial Data Engineer

Addison, TX · On-site +1

$85K - $111K/yr

Bachelor degree in Computer Science, Data Science, Financial Engineering, Quantitative Finance, or a related sciences/technology field, or equivalent experience * 3-5 years of experience in any/all ...

Spar Information Systems

Tagetik Developer

Plano, TX · On-site

Experience working in enterprise finance transformation or EPM projects. Familiarity with cloud ... Plano, TX We are seeking an experienced Developer with strong expertise in Tagetik to support the ...

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Financial Engineer information

See Texas salary details

$70.8K

$103.2K

$126.7K

How much do financial engineer jobs pay per year?

As of Aug 17, 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 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.

What skills should a financial engineer have?

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 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 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.

Do financial engineers make a lot of money?

Financial engineers often earn high salaries due to their specialized skills in quantitative analysis, modeling, and programming. Compensation varies based on experience, location, and industry, but many financial engineers have the potential to earn six-figure incomes or more, especially with advanced degrees and certifications like the CFA or FRM.

How much do financial engineers make?

Financial engineers in general earn a median annual salary of around $100,000 to $130,000, with experienced professionals and those working in major financial centers earning higher. Salaries can vary based on experience, education, certifications like CFA or FRM, and the complexity of financial models used. Entry-level positions typically start lower, while senior roles can exceed $200,000 annually.
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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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 88% Physical, 4% 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

Apple, Inc.

Austin, TX • On-site

Other

Re-posted 1 hour ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 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, Google Cloud Platform, 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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