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Financial Engineering Jobs in California (NOW HIRING)

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We're scaling our financial infrastructure, and we need sharp minds to strengthen the financial engineering, modeling, and optimization that powers the entire Sun West platform. The Mission Forget ...

Financial Engineer Location: CA - Westlake Village What you'll do: As a Financial Engineer, you will be part of the Corporate Modeling Analytics team, focused on developing, maintaining, and ...

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 ...

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 ...

Financial Analyst, Treasury

San Francisco, CA ยท On-site

$80K - $110K/yr

Partner closely with Product, Engineering, and Operations to define reconciliation and safeguarding ... Provide ad hoc support on Finance and firm wide initiatives (e.g. new banking partners, regulatory ...

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Financial Engineering information

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$75K

$109.4K

$134.2K

How much do financial engineering jobs pay per year?

As of Jul 5, 2026, the average yearly pay for financial engineering in California is $109,361.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $122,900.00 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 engineering jobs pay $500,000?

In financial engineering, senior roles such as Quantitative Research Directors, Chief Risk Officers, and senior quantitative analysts can earn $500,000 or more annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, strong programming skills, and extensive experience in financial modeling and risk management.

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 engineers make $300,000 a year?

In the field of financial engineering, professionals such as quantitative analysts, derivatives traders, and risk managers can earn $300,000 or more annually, especially with experience, advanced degrees, and proficiency in programming languages like Python or C++. These roles often require strong mathematical skills, knowledge of financial markets, and sometimes certifications like CFA or FRM.

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.

What engineers make $200,000 a year?

In the field of financial engineering, professionals such as quantitative analysts and risk managers often earn $200,000 or more annually, especially with experience, advanced degrees, and proficiency in programming languages like Python or C++. Senior roles in investment banks, hedge funds, and financial technology firms typically offer compensation at or above this level, often including bonuses and incentives.

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 trading strategies, and create financial products. They often work with programming tools like Python or C++ and require strong skills in mathematics, finance, and computer science. Their work supports decision-making in investment banks, hedge funds, and financial institutions.
What are the most commonly searched types of Financial Engineering jobs in California? The most popular types of Financial Engineering jobs in California are:
What are popular job titles related to Financial Engineering jobs in California? For Financial Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Financial Engineering jobs in California look for? The top searched job categories for Financial Engineering jobs in California are:
What cities in California are hiring for Financial Engineering jobs? Cities in California with the most Financial Engineering job openings:
Product Manager, Financial Engineering

Product Manager, Financial Engineering

OpenAI

San Francisco, CA โ€ข On-site

$293K - $325K/yr

Full-time

Posted 4 days ago


Job description

About the Team
Our team turns OpenAI's latest model capabilities into polished, trusted products for consumers and developers. We build the end-to-end experiences including product surfaces, platform layers, and developer workflows that make cutting-edge AI accessible, useful, and dependable at scale.
OpenAI's Financial Engineering (FinEng) team powers how revenue flows through our products - pricing and packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We partner closely with Engineering, Data Science, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide.
We pair rapid innovation with a rigorous approach to responsible deployment. Safety and trust are built into how we design, ship, and learn from real-world usage, so these tools deliver meaningful value while aligning with OpenAI's mission.
About the Role
We are seeking an experienced Product Manager to scale the product efforts and technical strategy within our Financial Engineering team. The ideal candidate has prior experience in billing, finance, and accounting, ideally also building solutions for commercial users of varying sizes from small scale to enterprise. This role requires close collaboration with our product, finance, operations, and engineering teams.
This position is based in San Francisco, CA. We utilize a hybrid work model with 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
  • Develop a strategy and roadmap to efficiently scale the billing operations and customer experience behind OpenAI's growing product portfolio
  • Identify and execute opportunities to improve the order-to-cash processing for OpenAI's largest and most strategic customers
  • Build AI powered tooling for key partner teams such as Finance and User Operations to drive better decisions and business outcomes
  • Collaborate with other product teams to defining OpenAI's evolving monetization strategies and the capabilities we need in our core billing infrastructure
  • Use data to better understand internal and external user needs and guide future product development
  • Collaborate with a wide range of stakeholders, including teams in product, finance, operations and engineering.

You might thrive in this role if you:
  • Have 6+ years of product management or related industry experience.
  • Obtained a bachelor's degree in Accounting, Finance, Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field.
  • Have proven experience working in a technical environment with cross-functional teams to drive product vision, define requirements, and guide the team through key milestones.
  • Have world-class communication and collaboration skills in working with a wide variety of cross-functional stakeholders
  • Showcase strong leadership, organizational, and execution skills, along with proven communication abilities.

About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.