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Financial Engineering Jobs in Oregon (NOW HIRING)

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 ...

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 ...

Cost Engineer

Tualatin, OR · On-site

$85K - $100K/yr

Ascentec Engineering is hiring! We are seeking a detail-oriented and analytical Cost Engineer to ... You will collaborate closely with engineers, procurement, and finance to provide accurate cost ...

OR · On-site

Collaborate cross-functionally with Accounting, FP&A, Treasury, Legal, Compliance, and Engineering to source data, resolve reporting questions, and ensure consistency between regulatory filings and ...

Staff Software Engineer, Data Infrastructure

OR · Remote

$114K - $137K/yr

You'll collaborate closely with engineering leadership and stakeholders across Data Science, ML Platform, Ads Infrastructure, Finance Engineering, Product Engineering, and Security. You'll operate ...

Cost Engineer

Tualatin, OR · On-site

$85K - $100K/yr

Ascentec Engineering is hiring! We are seeking a detail-oriented and analytical Cost Engineer to ... You will collaborate closely with engineers, procurement, and finance to provide accurate cost ...

Cost Engineer

Tualatin, OR · On-site

$85K - $100K/yr

Description Ascentec Engineering is hiring! We are seeking a detail-oriented and analytical Cost ... You will collaborate closely with engineers, procurement, and finance to provide accurate cost ...

You will partner closely with Product, Compliance, Legal, Risk, Finance, Operations, and senior engineering leaders to deliver scalable, reliable, and audit-ready infrastructure for a modern banking ...

You will partner closely with Product, Compliance, Legal, Risk, Finance, Operations, and senior engineering leaders to deliver scalable, reliable, and audit-ready infrastructure for a modern banking ...

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Showing results 1-20

Financial Engineering information

See Oregon salary details

$80.4K

$117.2K

$143.8K

How much do financial engineering jobs pay per year?

As of Jul 25, 2026, the average yearly pay for financial engineering 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 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 popular job titles related to Financial Engineering jobs in Oregon? For Financial Engineering jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Financial Engineering jobs in Oregon look for? The top searched job categories for Financial Engineering jobs in Oregon are:
What cities in Oregon are hiring for Financial Engineering jobs? Cities in Oregon with the most Financial Engineering job openings:
Infographic showing various Financial Engineering job openings in Oregon as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $117,160 per year, or $56.3 per hour.
Senior Finance AI & Automation Developer

Senior Finance AI & Automation Developer

EnerSys

Portland, OR • On-site, Remote

$95K - $119K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


EnerSys rating

7.5

Company rating: 7.5 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

259th of 535 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 - $119,100.00 

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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