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Financial Engineer Jobs in California (NOW HIRING)

Finance Operations

San Jose, CA ยท On-site

$2.0K/mo

Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary Finance ...

Finance Operations

San Jose, CA ยท On-site

$2.0K/mo

Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary Finance ...

Senior Finance AI & Automation Developer

Chino, CA ยท On-site +1

$95K - $119K/yr

Job Purpose The Senior Finance AI & Automation Developer's primary responsibilities are to design, build, & deploy automation and AI-driven solutions across Finance processes. These projects will ...

Security Engineer

San Francisco, CA ยท On-site

$120 - $160/hr

Our work sits at the intersection of distributed systems, finance, and machine intelligence, with the goal of growing the world's programmable GDP. Our team has shipped massively scalable systems and ...

About the Team We're looking for an Analytics Engineer to join the Sales & Finance Engineering team at Fanatics Collectibles. This team is the technical backbone for our Commercial, Sales, Strategy ...

Showing results 41-60

Financial Engineer information

See California salary details

$75K

$109.4K

$134.2K

How much do financial engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for financial engineer 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 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 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 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 jobs do financial engineers get?

Financial engineers typically work as quantitative analysts, risk managers, derivatives traders, or financial modelers in banking, investment firms, hedge funds, and insurance companies. They use skills in mathematics, programming, and financial theory to develop models and strategies for trading, risk assessment, and asset management.

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 are the most commonly searched types of Financial Engineer jobs in California?

The most popular types of Financial Engineer jobs in California are:

What job categories do people searching Financial Engineer jobs in California look for?

The top searched job categories for Financial Engineer jobs in California are:

What cities in California are hiring for Financial Engineer jobs?

Cities in California with the most Financial Engineer job openings:

Infographic showing various Financial Engineer job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $109,361 per year, or $52.6 per hour.

Frontend Engineer, Financial Web Platform

OpenAI

San Francisco, CA โ€ข On-site

$230K - $385K/yr

Full-time

Re-posted 26 days ago


Job description

About the team
The Applied team at OpenAI safely brings cutting-edge technology to the world. We have released widely used products such as ChatGPT, Sora, and the OpenAI API, powering models including GPT-5 and a growing set of multimodal capabilities across text, image, audio, and video. Our team also manages large-scale inference and platform infrastructure that supports these experiences at global scale. With much more on the horizon, our impact continues to grow.
Our customers build fast-growing businesses using our APIs, unlocking product capabilities that were previously unimaginable. ChatGPT and Sora exemplify the breadth of what's now possible across text, image, audio, and video experiences. As these capabilities expand, we prioritize the responsible use of our technology, emphasizing safe and thoughtful deployment over unchecked growth.
Within Applied Engineering, the Financial Engineering team builds the frontend platforms and workflows that power how OpenAI's products are priced, purchased, and managed at scale. We work closely with Go-To-Market and Finance partners to translate complex commercial requirements into clear, reusable billing experiences. We're looking for a frontend engineer to help define and evolve these billing platforms, shaping the primitives, interfaces, and patterns that product teams rely on as our offerings and customer needs continue to grow in complexity.
In this role, you will:
  • Create scalable, reusable UI components and patterns that support a wide range of billing use cases across products.
  • Partner closely with backend engineers to deliver end-to-end billing capabilities spanning subscriptions, usage-based pricing, and enterprise offerings.
  • Build tools and surfaces that allow teams like Finance, Sales, Support, and GTM to manage and reason about billing data efficiently.
  • Create AI powered features for billing workflows and platform tooling to automate repetitive tasks, surface insights, and improve decision-making.
  • Help define frontend architecture, standards, and patterns for a shared billing platform used by teams across OpenAI.
  • Collaborate with Product, Data, Finance, Go-To-Market, and Engineering partners to translate ambiguous requirements into clear, high-quality interfaces.

You might thrive in this role if you:
  • Software engineering experience, with added experience in payments, billing, or monetization seen as a bonus.
  • Strong frontend engineering experience building and maintaining production-grade web applications, with an emphasis on usability, scalability, and maintainability.
  • Enjoy engaging with various partners, particularly those outside of engineering.
  • Have a keen and innate desire to learn and acquire new skills, coupled with a strong ability to impart that knowledge clearly and succinctly to others.
  • Bring significant experience in developing (and redeveloping) production systems to launch new product capabilities and to handle scaling challenges.
  • Are deeply invested in creating an exceptional user experience, taking pride in crafting products that address customer needs.
  • Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines.

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.