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Financial Engineering Jobs (NOW HIRING)

Advanced degree in Mathematics, Engineering or Physics is preferred. * Strong knowledge of Interest Rate and FX pricing models is mandatory. * Prior work experience within a Rates or FX financial ...

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Financial Engineering information

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$76K

$110.8K

$136K

How much do financial engineering jobs pay per year?

As of Aug 15, 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 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.
More about Financial Engineering jobs

What cities are hiring for Financial Engineering jobs?

Cities with the most Financial Engineering job openings:

What are the most commonly searched types of Financial Engineering jobs?

The most popular types of Financial Engineering jobs are:

What states have the most Financial Engineering jobs?

States with the most job openings for Financial Engineering jobs include:

Infographic showing various Financial Engineering job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $110,812 per year, or $53.3 per hour.

$100K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Overview
Job Purpose
Work closely with the Development Team on the application and product development of financial tools. Provide consulting and analysis to clients using these tools. Perform ad hoc data analysis as needed and assist managers of specific product lines with analytical projects. Design test cases and test applications for systems to ensure the business needs are met and analytics are correctly implemented. Examine current model's functionalities and explore new tools to optimize workflow efficiency. Develop and maintain databases and data systems to support loan data analysis and modeling. Design, develop, and maintain data pipelines and architectures to support loan data analysis and modeling. Explore new technologies, tools, and methodologies to enhance existing loan data solutions and models.
Responsibilities
  • Develop, analyze, test, and calibrate financial models, tools, and products.
  • Explore and leverage cutting-edge Artificial Intelligence and Machine Learning techniques for quantitative modeling purposes.
  • Design, develop, recalibrate and deploy prepayment and credit models for mortgage market.
  • Furnish comprehensive analysis and documentation elucidating methodologies, techniques, and discoveries.
  • Investigate and manage large data sets, specifically panel data
  • Explain model behavior, carry out scenario analysis, provide guidance and analytics.
  • Collaborate with Research and Development on the application and development of financial tools.
  • Provide quantitative reports on mortgage market performance and risk factors, including their potential impact.
  • Explain model behavior, conduct scenario analyses, and offer guidance and analytics.
  • Perform ad hoc analyses and support with valuation and pricing projects.
  • Assist in transaction planning and structuring by contributing to credit analysis and pricing strategies.
  • Collaborate with business owners to design and implement interfaces for recording key indicators, and research industry best practices for analyzing and reporting performance metrics.
  • Develop test cases and validate systems used for analytics, pricing, risk management, and credit analysis to ensure alignment with business needs and accurate implementation.
  • Perform other duties as assigned.

Knowledge and Experience
  • Master's degree or equivalent in Financial Engineering, Mathematics or related field.
  • 3+ years of progressively responsible experience in a quantitative field preferred.
  • Proficiency in SQL, databases, scripting languages, and Python.
  • Creativity, Innovation, and Passion in quantitative research and modeling.
  • Hard worker and team player, highly self-motivated in learning and applying new techniques.

Preferred Knowledge and Experience
  • Ability to solve real world business problems using quantitative and computational techniques.
  • Ability to implement algorithms in multiple computing environments and languages.
  • Strong oral communication and documentation skills.
  • Strong understanding of financial markets and market behavior.

New York Base Salary Range
The expected base salary for this role, if located in New York, is between $100,100 - $140,800 USD. The base salary range does not include Intercontinental Exchange's incentive compensation. While we provide this range as general guidance, at ICE we compensate employees based on the skillset and experience of the individual. Regular full-time ICE employees are eligible for a suite of competitive employee benefits, including healthcare coverage (medical, dental and vision), a 401(k) plan, life insurance, time off, and paid leave for qualifying circumstances.
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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.