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Financial Engineer Jobs in Oregon (NOW HIRING)

Clari + Salesloft

Financial Analyst, R&D

OR · On-site +1

Serve as the dedicated finance partner to Product & Engineering leadership, evaluating unit-level economics, engineering headcount, and investment KPIs that drive our product roadmap. * Drive ...

VanderHouwen

Sr. Financial Analyst

Corvallis, OR · Hybrid

$85K - $95K/yr

Our recruitment teams specialize in either Technology and IT, Engineering, Human Resources, or Accounting and Finance career markets. Partner with us to land your next exciting career! VanderHouwen ...

TERRACON

Regional Financial Analyst

Portland, OR · On-site

... an engineering consulting firm. Proficient in Accounting concepts, practices, systems, and ... Partners with IT and other Accounting & Finance departments on invoicing activities and systems.

TERRACON

Regional Financial Analyst

Portland, OR · On-site

Experience supporting engineering, consulting, or project-based businesses. * Familiarity with ... Support other Corporate or Operational Finance staff members with escalated invoicing and reporting ...

ClickHouse

Finance Systems & Transformation Manager

OR · On-site +1

This is a rare, high-impact role at the intersection of Finance, Engineering, and Operations, reporting to the Corporate Controller and serving as the Finance technology leader. In this role, you'll ...

Milwaukee Electronics

Chief Financial Officer

Canby, OR · On-site

The CFO partners closely with operations, supply chain, and commercial leaders to align financial ... Engineering & Product Development - Collaborate with R&D and Process Engineering on new product ...

Milegon LLC

Chief Financial Officer

Canby, OR

The CFO partners closely with operations, supply chain, and commercial leaders to align financial ... Engineering & Product Development - Collaborate with R&D and Process Engineering on new product ...

Netclaim

Senior Financial Analyst

Lake Oswego, OR · On-site

$86 - $105/hr

You'll own a high-impact territory across COGS, Product & Engineering, Facilities, IT, & Informatio ... Drive the financial story behind a high-impact FP&A territory -- including COGS, Product ...

New

Instacart

Senior Data Engineer II, Finance

OR · On-site +1

$105K - $143K/yr

Engineering at Instacart provides the opportunity to work on challenging scaling problems while ... The team plays a critical role in defining how financial data is modeled and standardized for ...

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All JobsFinancial Engineer JobsFinancial Engineer Jobs in Oregon

Financial Engineer information

See Oregon salary details

$80.4K

$117.2K

$143.8K

How much do financial engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for financial engineer in Oregon is $117,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $131,600.00 per year, depending on experience, location, and employer.

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 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 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 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.

Do financial engineers make a lot of money?

Financial engineers often earn high salaries due to their specialized skills in quantitative analysis, modeling, and programming. Compensation varies based on experience, location, and industry, but many financial engineers have the potential to earn six-figure incomes or more, especially with advanced degrees and certifications like the CFA or FRM.

How much do financial engineers make?

Financial engineers in general earn a median annual salary of around $100,000 to $130,000, with experienced professionals and those working in major financial centers earning higher. Salaries can vary based on experience, education, certifications like CFA or FRM, and the complexity of financial models used. Entry-level positions typically start lower, while senior roles can exceed $200,000 annually.
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The top searched job categories for Financial Engineer jobs in Oregon are:

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Financial Engineer jobs near you
Infographic showing various Financial Engineer job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $117,160 per year, or $56.3 per hour.

Senior Finance AI & Automation Developer

EnerSys

Portland, OR • On-site, Remote

$95K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

EnerSys rating

7.7

Company rating: 7.7 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

199th of 542 rated manufacturers

Job description

EnerSys is a global leader in stored energy solutions for industrial applications. We have over thirty manufacturing and assembly plants worldwide servicing over 10,000 customers in more than 100 countries. Worldwide headquarters are located in Reading, PA, USA with regional headquarters in Europe and Asia. We complement our extensive line of Motive Power and Energy Systems with a full range of integrated services and systems. With sales and service locations throughout the world, and over 100 years of battery experience, EnerSys is the power/full solution for stored DC power products. 

What We're Offering

  • Paid time off plus paid holidays
  • Medical/dental/vision insurance plan
  • Life insurance, short/long term disability, tuition reimbursement, flex spending, and employee stock purchase plan
  • 401K plan
  • Culture: We value and strive for excellence in all that we do through innovative technology by creating long lasting relationships with our stakeholders, co-workers, and customers. We continually strive to foster teamwork, engagement and enhance our employee's skills and competence by providing appropriate training.

Compensation Range: $95,300.00 - $142,900.00 

Compensation may vary based on applicant's work experience, education level, skill set, and/or location.  

Work Arrangement: Hybrid (Reading, PA) or Remote

Hybrid Schedule for Local Candidates:

  • Monday & Friday: Remote

  • Tuesday-Thursday: Onsite at our Reading, PA location

Candidates outside the Reading, PA area may be considered for a fully remote arrangement.

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 require project leadership and coordination with cross-functional departments. This role sits at the intersection of Finance, Technology, and Process Improvement and focuses on eliminating manual work, accelerating reporting cycles, and enabling scalable, intelligent workflows across the Finance organization. The role will partner with finance teams to map current processes, identify automation opportunities, and redesign workflows to reduce manual effort and cycle time. This position will deploy solutions into production environments, validate outputs with stakeholders and coordinate with IT for access, infrastructure, & governance. The position will also monitor performance of automations & AI solutions as well as identify additional use cases and scale successful pilots. Responsibilities may also include other adhoc tasks such as Value Stream analysis and Finance SharePoint Administration, etc. 

Essential Duties and Responsibilities
  • Design and Build Automation Solutions
  • Transformation Project Leadership
  • Power BI, Power Automate, & Power Query Projects
  • AI Agent & Chatbot Projects
  • AI Workflow Projects
  • Predictive Modeling Projects
  • Educate Finance Team about AI Applications & Tools
  • Project Documentation and Change Management
  • Finance SharePoint Site Administration
  • Ad Hoc Projects & Tasks
 
SUPERVISORY RESPONSIBILITIES: No direct reports but will lead projects
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
 
Education and/or Experience:
  • Bachelors' degree in Engineering, Technology field, and/or Finance or equivalent
  • Project Management experience required
  • Digital Process Automation experience required
  • AI workflow experience required
  • AI Agent creation experience required
  • App building experience required (personal and/or professional)
  • AI-generated coding experience required (i.e. Claude Code, Codex)
  • Azure experience required
  • Strong understanding of data structure and APIs required
  • Experience with Python and/or other code languages required
  • 6 Sigma Black Belt certification preferred  
  • Lean methodology experience preferred
  • Strong IT skills including proficiency with Microsoft Office applications; enterprise resource planning systems (i.e., SAP), etc. 
  • Power BI, Power Automate, & Power Query experience preferred
  • 3-5 Years of relevant experience or equivalent based on project volume and scope
 
Other Skills:
  • Creative in finding solutions and overcoming obstacles
  • Initiative: Aggressive while using good judgment
  • Skilled with data management & project completion
  • Ability to present findings and data to different audiences up to the Executive level
  • Team player while also excelling as an individual contributor.
  • Fast learner with strong analytical and problem-solving skills.
  • Able to successfully manage multiple projects and tasks with various deadlines.
  • Articulate, Positive & Outgoing communicator
  • Optimistic change agent that stays on the cutting edge of technology and technical requirements.
  • Curious: willing to ask questions and learn
  • Highly motivated
  • Adaptable to change
  • Exhibit a servant attitude toward colleagues and internal customers
General Job Requirements
  • This position will work in an office setting, expect minimal physical demands.

EnerSys provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.  

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We use artificial intelligence to screen, assess and select applicants for open positions, including for the purposes of reviewing and ranking application materials and scoring answers to application questions. Accordingly, decisions about your application and eligibility for employment with EnerSys may be made based exclusively on the automated processing of the personal information that you submit in your application materials.

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