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Financial Engineering Jobs (NOW HIRING)

Engineers Gate

Quantitative Researcher

$150K - $200K/yr

Master's degree (US or Foreign Equivalent) in Financial Engineering or a related field and two (2) years of experience in the job offered or in a related financial engineering role. Must have two (2) ...

BTree Solutions, Inc.

UI/UX DEVELOPER

Mclean, VA · On-site

$50.75 - $66/hr

W2 Client's Financial Engineering team is seeking Developer-UX User Interface Senior for a large strategic financial project. The position is focused on UI/UX development for a software application ...

New

Jobsbridge

SAS Developer

Pasadena, CA · On-site

Company Description Intelliswift Software, Inc Analyze and comprehend the financial engineering and intent of statistical risk factor and security valuation models. Design and develop efficient ...

Jobsbridge

SAS Developer

Pasadena, CA · On-site

Company Description Intelliswift Software, Inc Analyze and comprehend the financial engineering and intent of statistical risk factor and security valuation models Design and develop efficient ...

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How much do financial engineering jobs pay per year?

As of Jun 7, 2026, the average yearly pay for financial engineering in the United States is $110,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $124,500.00 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 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.
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Financial Engineering jobs near you
Senior Financial Engineer

Senior Financial Engineer

Intercontinental Exchange Holdings, Inc.

Atlanta, GA • On-site

$100K - $138K/yr

Full-time

Posted 26 days ago

Job description

Overview
Job Purpose
TheSenior Financial Engineerwill play a critical role in developing and enhancing solutions on our analytics platform to support growth in fixed income and equity analytics. This position requires advanced technical expertise and strong analytical skills. The data analysis efforts are primarily focused on analyzing quantitative analytic measures and the supporting reference data used to derive those calculations. The successful candidate will collaborate with Product Development, Data Analysis, Quantitative Research, IT, QA, and Operations teams to ensure high-quality data delivery.
Responsibilities
  • Ensure accuracy and integrity of quantitative measures and reference data.
  • Oversee and validate critical data production processes, ensuring timely and accurate client deliverables.
  • Research and respond to client data inquiries and challenges
  • Establish and monitor performance metrics for version upgrades and enhancements.
  • Produce historical analysis that highlights current analytic trends for different asset types
  • Create and maintain documentation for workflows, data requirements, and DQA test cases.
  • Recommend and implement process improvements to enhance data analysis and operational efficiency.

Knowledge and Experience
  • Master's degree in Mathematics, Financial Engineering, Mathematical Finance, Computer Science or Finance
  • Strong understanding of fixed income mathematics with exposure to equity, index, and derivative instruments
  • Excellent Quantitative Analytic Skills
  • Proficiency in SQL and experience with data analysis tools such as Python, R, or MATLAB
  • Excellent communication skills for articulating issues, clarifying requirements, and presenting findings.
  • Detail oriented and good organization skills
  • Self-motivated and accountable for delivering accurate, timely results
  • Collaborative team player with flexibility to adapt to changing priorities and schedules.
  • Familiarity with software development lifecycle (SDLC).

Preferred Knowledge and Experience
  • Passed the CFA Level II or higher
  • Experience in AI-assisted development tools such as GitHub Copilot and Cursor.
  • Exposure to cloud platforms and services

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Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.

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