1

Financial Engineering Jobs in California (NOW HIRING)

Collaborating closely with the GTM and Finance teams, we strive to tailor our billing stack to our evolving internal requirements. About the role We are looking for an Engineering Manager to build ...

Engineering Finance Analyst Location: Burlingame, CA Department: Finance Reports To: VP of Finance ... Track and forecast financial impact of lead times, MOQs, pricing ramps, and supplier capacity ...

Engineering Finance Analyst Location: Burlingame, CA Department: Finance Reports To: VP of Finance ... Track and forecast financial impact of lead times, MOQs, pricing ramps, and supplier capacity ...

Apply Early

Engineering Finance Analyst Location: Burlingame, CA Department: Finance Reports To: VP of Finance ... Track and forecast financial impact of lead times, MOQs, pricing ramps, and supplier capacity ...

Financial Programmer

Los Angeles, CA ยท Hybrid

$120K - $135K/yr

The Financial Programmer is an integral part of Latham's Technology & Information Services team ... Improving engineering practices, including CI/CD pipelines, code quality, and development standards

Agentic Finance Engineer

San Francisco, CA ยท On-site

$175K - $250K/yr

You'll sit at the intersection of finance, data engineering, and applied AI - building the systems and infrastructure that power how our finance and corporate operations team runs. You will design ...

S. or equivalent education in financial engineering is required. Qualifications Quantitative, statistical and/or financial models, SAS Additional Information Multiple Openings

About the Role The Financial Programmer is an integral part of Latham's Technology & Information ... Improving engineering practices, including CI/CD pipelines, code quality, and development standards

Finance Analytics Engineer

San Mateo, CA ยท On-site

$185K - $221K/yr

You will be the primary liaison between the Finance and the Data Engineering teams. You will use ... Your work will directly impact financial planning, forecasting, and strategic decision-making ...

next page

Showing results 1-20

Financial Engineering information

See California salary details

$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:
Engineering Manager, Order Systems

Engineering Manager, Order Systems

OpenAI

San Francisco, CA โ€ข On-site

$293K - $385K/yr

Full-time

Posted 29 days ago


Job description

About the Team
Within Applied Engineering, the Financial Engineering team ensures that our products are monetized effectively to accommodate customers' varying needs and scales. Collaborating closely with the GTM and Finance teams, we strive to tailor our billing stack to our evolving internal requirements.
About the role
We are looking for an Engineering Manager to build and operate the workflows to power quoting, tracking, and fulfillment for everything sold by OpenAI. We also build critical billing and invoicing capabilities (and partner closely on customer-facing billing experiences) to ensure financial integrity, auditability, and a seamless, transparent onboarding and billing journey for enterprise customers.
In this role you will:
  • Lead and grow a team of engineers responsible for order management automation, focusing on reliability, correctness, and smooth customer onboarding.
  • Own the architecture and roadmap for order data flows into downstream systems (e.g., internal provisioning services, billing/invoicing services, and revenue workflows).
  • Build and operate resilient workflows and services that automate entitlements, provisioning, usage controls, SKU attribution, invoice generation/delivery, and revenue recognition-minimizing manual steps while maximizing correctness and traceability.
  • Improve accuracy and timeliness of provisioning, billing, and invoicing-reducing manual intervention and operational load through automation, validation, and reconciliations.
  • Establish strong operational practices (observability, alerting, runbooks, on-call) so systems remain healthy without constant human oversight.
  • Partner deeply with Sales Operations, Finance, Accounting, Support, Product, Security, and Compliance to translate requirements into resilient, auditable workflows.
  • Drive clarity across ambiguous problem spaces and evolving product offerings; create frameworks and abstractions that scale as OpenAI's commercial footprint expands.
  • Set high engineering standards via technical direction, design reviews, mentoring, and fostering a culture of ownership and continuous improvement.
  • Bring strong leadership: teach and level up engineers, recruit and retain talent, manage stakeholders, and scope work to balance customer needs with realistic deliverables.

You might thrive in this role if you:
  • Have 7+ years of professional software engineering experience, including 3+ years leading engineers or managing teams.
  • Have experience integrating revenue platforms (e.g., CPQ, billing, invoicing, revenue recognition, entitlement systems).
  • Have built or operated complex commerce / SaaS ordering systems.
  • Are strong in systems design, data modeling, and building reliable distributed services and workflows.
  • Have experience in domains where correctness, auditability, and reconciliation are essential (e.g., payments, ERP/finance systems, invoicing/revenue recognition).
  • Can lead (or effectively partner on) customer-facing billing experiences with a focus on clarity, accessibility, and trust.
  • Care deeply about operational excellence and building systems that are observable, predictable, and resilient.
  • Communicate clearly, build trust, and lead with context rather than control; you're energized by close cross-functional partnership.

Nice to Have
  • Experience with large-scale SaaS billing or enterprise account provisioning; usage-based and/or seat-based pricing; invoice generation at scale.
  • Familiarity with finance and revenue operations concepts (e.g., proration, credits/adjustments, revenue schedules).
  • Exposure to common CRM/ERP and payment ecosystems (e.g., CPQ, invoicing, collections, payment processors), without reliance on any single vendor.

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.
OpenAI Global Applicant Privacy Policy
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.