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Financial Engineer Jobs in Berkeley, CA (NOW HIRING)

Mercor

Agentic Finance Engineer

San Francisco, CA · On-site

$175K - $250K/yr

Mercor's first Agentic Finance Engineer. You'll sit at the intersection of finance, data ... Facilitate the design, build, and maintenance of a reliable financial data foundation using modern ...

Framework Ventures

Security Engineer

San Francisco, CA · 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 ...

New

Adapture Renewables

SCADA Engineer

Oakland, CA · On-site

$135K/yr

Drawing upon an extensive knowledge base, we develop, finance, engineer, build, own, and operate high quality utility-scale photovoltaic projects and battery energy storage projects. Our Technology ...

Adapture Renewables

SCADA Engineer

Oakland, CA · Hybrid

$135K/yr

Drawing upon an extensive knowledge base, we develop, finance, engineer, build, own, and operate high quality utility-scale photovoltaic projects and battery energy storage projects. Our Technology ...

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All JobsFinancial Engineer JobsFinancial Engineer Jobs in Berkeley, CA

Financial Engineer information

See Berkeley, CA salary details

$93.1K

$135.7K

$166.5K

How much do financial engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for financial engineer in Berkeley, CA is $135,683.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,400.00 and $152,400.00 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.
More about Financial Engineer jobs
What job categories do people searching Financial Engineer jobs in Berkeley, CA look for? The top searched job categories for Financial Engineer jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Financial Engineer jobs? Cities near Berkeley, CA with the most Financial Engineer job openings:
Financial Engineer jobs near you
Infographic showing various Financial Engineer job openings in Berkeley, CA as of August 2026, with employment types broken down into 89% Full Time, 2% Part Time, 2% Temporary, and 7% Contract. Highlights an 88% In-person, 7% Hybrid, and 5% Remote job distribution, with an average salary of $135,683 per year, or $65.2 per hour.

Agentic Finance Engineer

Mercor

San Francisco, CA • On-site

$175K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 22 days ago

Job description

About Mercor
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You'll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About Mercor
Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $3 million a day.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You'll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
This is a rare, foundational hire: Mercor's first Agentic Finance Engineer. 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 and deploy the modern data and automation stack from the ground up: architecting scalable financial data models, integrating AI agents into real workflows, and turning manual, spreadsheet-driven processes into reliable, production-grade systems.
The ideal candidate has deep finance domain knowledge - you understand how the books actually close, how procurement flows, how revenue is recognized - and the technical fluency to translate that understanding into durable, automated systems. You're equally comfortable in a SQL editor and in a conversation with the CFO, and you're energized by building in a zero-to-one environment.
What You'll Do
Finance Data & Systems
  • Facilitate the design, build, and maintenance of a reliable financial data foundation using modern tools (.g. dbt, FiveTran, Snowflake/BigQuery, Airflow), covering revenue, AP/AR, procurement, close, strategic finance and FP&A
  • Partner closely with data infrastructure team to build Mercor's financial data model: define canonical datasets, dimensional schemas, and the transformation logic that serves Finance stakeholders
  • Partner with Finance leads across accounting, strategic finance, and operations to translate business requirements into technical architecture
  • Build and maintain dashboards and self-serve reporting tools that give finance leaders real-time visibility into key metrics

AI & Automation
  • Own the Agentic Finance roadmap - prioritizing use cases and driving features from ideation to deployment
  • Identify high-value automation opportunities across Finance and corporate operations - month-end close tasks, reconciliations, procurement workflows, variance analysis - and ship solutions that eliminate manual work
  • Build intelligent, reliable automation via agents (in partnership with engineering teams), AI-powered tools, and multi-step ETL jobs into live finance workflows, using APIs (including frontier models)
  • Build internal tooling that Finance teams actually use: lightweight apps, workflow automations, and AI-assisted processes that save meaningful time at scale
  • Stay at the frontier of what's possible with AI in Finance (meeting other finance teams, reading research, etc.), and proactively bring new capabilities to bear on Mercor's highest-leverage operational problems

Governance, Quality & Scale
  • Enforce data integrity standards and testing practices across all financial data products - ensuring auditability and reliability for a maturing Finance function
  • Ensure AI-assisted processes meet appropriate governance and controls standards, with clear auditability of model outputs used in financial workflows
  • Champion a culture of data quality and documentation so that Finance teams trust and rely on the systems you build

What We're Looking For
  • 3+ years of experience spanning finance operations, data engineering, analytics engineering, data science, or a combination - with a track record of shipping reliable systems in high-growth environments
  • Understand the data needs of finance and corporate operations, including accounting, finance operations, FP&A, strategic finance, and procurement
  • You should be very proficient in SQL and Python. While you can learn data & workflow orchestration tools on-the-job, we expect you to have a very strong computer science fundamentals.
  • A builder's instinct: you take ownership of problems, move fast, and know when to do things properly versus pragmatically
  • Excellent communication skills - you can explain a data model to a CFO and a pipeline architecture to an engineer
  • Experience navigating ambiguity in early-stage or rapidly scaling environments

Bonus Points
  • Hands-on experience deploying AI agents or LLM-powered tools
  • Experience with financial data governance and audit readiness
  • Background in strategic finance, accounting, FP&A, or finance transformation - or time spent in a high-growth tech company's finance function

Compensation
  • Base cash comp from $175K - $250k
  • Generous equity grant vested over 4 years
  • Up to $15k Relocation bonus
  • $10K housing bonus (if you live within 0.5 miles of our office)
  • $1.5K monthly stipend for meals
  • Free Equinox membership
  • $200 monthly laundry reimbursement
  • $200 monthly personal wellness reimbursement
  • Health, Dental, Vision insurance
  • 401(k) with company match

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