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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 ...

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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 Jun 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 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, quantitative analysts, and risk managers in finance often earn $500,000 or more annually, especially with bonuses and profit-sharing. These roles typically require advanced skills in mathematics, programming, and financial modeling, along with extensive experience and often professional certifications like CFA or FRM.

What Engineers make $300,000 a year?

Senior financial engineers, especially those working in quantitative finance, hedge funds, or investment banks, can earn $300,000 or more annually through base salary, bonuses, and profit sharing. High-level roles often require advanced skills in mathematics, programming, and financial modeling, along with extensive experience and sometimes professional certifications like CFA or FRM.

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.

Do Goldman Sachs hire Engineers?

Goldman Sachs hires engineers, including financial engineers, software engineers, and quantitative analysts, to develop trading algorithms, risk models, and financial software. Candidates typically need strong technical skills, programming experience, and relevant finance knowledge. The firm offers roles in technology and finance departments with competitive hiring standards.

What is the work of a financial engineer?

A financial engineer develops mathematical models and uses quantitative techniques to analyze and manage financial risks, design financial products, and optimize investment strategies. They often work with programming tools like Python or R and require strong skills in mathematics, finance, and computer science. Their work supports trading, risk management, and financial decision-making in financial institutions.

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:
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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
AI Engineer - GenAI / Agentic Systems - Financial Services - Infosys Consulting

AI Engineer - GenAI / Agentic Systems - Financial Services - Infosys Consulting

Infosys

Dallas, TX • On-site

Full-time

Posted 4 days ago

Infosys rating

7.5

Company rating: 7.5 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

96th of 204 rated it services

Job description

Job Summary:
Infosys is a next-generation consulting partner that bridges strategy and execution, focusing on AI-driven solutions. They are seeking an AI Engineer with a background in financial services to design and implement GenAI-powered solutions, particularly in LLM application development and data-driven AI pipelines.
Responsibilities:
• Work with business stakeholders (Banking and financial services) to identify the problem statement and participate in / lead solution design
• Design and develop GenAI solutions using LLMs (Claude, OpenAI, etc.)
• Build agent-based workflows using frameworks such as LangChain / Google ADK / similar
• Develop RAG pipelines, semantic search, and knowledge-driven applications
• Implement prompt engineering, evaluation frameworks, and guardrails
• Work closely with architects, SMEs, and product owners to translate business requirements into AI solutions
• Perform testing, validation, and optimization of AI models and pipelines
• Coordinate with business and technology stakeholders for program delivery
Qualifications:
Required:
• Experience in Python-based AI/ML development
• Understanding of: LLMs and GenAI architectures
• Understanding of: Prompt engineering and chaining techniques
• Understanding of: Data processing and pipelines
• Understanding of Graph RAG
• Hands-on with one or more: LangChain / similar frameworks
• Hands-on with one or more: Claude / OpenAI / other LLM APIs
• Working knowledge of: Vector databases, embeddings, semantic search
• Working knowledge of: API integrations and microservices
• Exposure to Financial services domain
• Bachelor’s degree or equivalent required
• Prior work experience of 5-8 years either in management consulting or directly working on advisory business, technology or operational change initiatives in Capital Markets industry.
• Strong problem-solving mindset
• Ability to work in fast-paced AI delivery pods
• Balance of hands-on coding + solution thinking
• Familiarity with banking and financial services domain
• Ability to travel up to 75%.
• Location – Dallas, Charlotte, NJ/NY
• U.S. citizens and those authorized to work in the U.S. are encouraged to apply. Infosys will not sponsor H-1B or other work authorization for this role at this time.
Preferred:
• Exposure to Google ADK / agentic frameworks
• Experience with knowledge graphs and graph-based retrieval
• Understanding of banking / financial services domain
• Familiarity with cloud platforms (Azure / AWS / GCP)
• Data engineering basics (SQL, schema, profiling)
• Ability and willingness to work as part of a cross-cultural team including flexibility to support multiple time zones when necessary
• Candidates should be able to ramp up quickly with minimal support, take full ownership of assigned tasks, and consistently deliver against timelines and commitments.
Company:
Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program management, and software services. Founded in 1981, the company is headquartered in Bangalore, IND, with a team of 10001+ employees. The company is currently Late Stage.

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