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Financial Engineer Jobs (NOW HIRING)

FP&A Water-Engineer

Bellingham, WA · Hybrid

$115K - $130K/yr

JOB TITLE: FP&A Water-Engineer DEPARTMENT: CESCO SOLUTIONS REPORTS TO: BUSINESS MANAGER STATUS: EXEMPT/SALARY LOCATION: PACIFIC NORTHWEST (HYBRID/FLEXIBLE) SALARY: $115,000-$130,000/year based on ...

The Applied AI / Machine Learning Engineer will develop and deploy AI solutions for various finance ... financial planning, forecasting, trend analysis, and anomaly detection across large, structured ...

As the Applied AI / Machine Learning Engineer, you will play a handson role crafting, developing ... Build and maintain ML models for financial planning, forecasting, trend analysis, and anomaly ...

As the Applied AI / Machine Learning Engineer, you will play a handson role crafting, developing ... Build and maintain ML models for financial planning, forecasting, trend analysis, and anomaly ...

ABOUT THE ROLE: We're hiring an Analytics Engineer to help design and build a PBM Financial Risk Engine that brings together claims, contract terms, pricing and utilization data to support financial ...

ABOUT THE ROLE: We're hiring an Analytics Engineer to help design and build a PBM Financial Risk Engine that brings together claims, contract terms, pricing and utilization data to support financial ...

Work closely with quantitative developer, financial engineer, and system QA Engineer in transforming quantitative business requirements and use cases into test cases for model validation, functional ...

* Work closely with quantitative developer, financial engineer, and system QA Engineer in transforming quantitative business requirements and use cases into test cases for model validation, functional ...

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Financial Engineer information

See salary details

$76K

$110.8K

$136K

How much do financial engineer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for financial engineer in the United States is $110,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $124,500.00 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 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 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 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 cities are hiring for Financial Engineer jobs? Cities with the most Financial Engineer job openings:
What are the most commonly searched types of Financial Engineer jobs? The most popular types of Financial Engineer jobs are:
Who are the top companies hiring for Financial Engineer jobs? The top employers for Financial Engineer jobs are:
What states have the most Financial Engineer jobs? States with the most job openings for Financial Engineer jobs include:
AI Enablement Engineer (Accounting, FP&A, HR, Legal)

AI Enablement Engineer (Accounting, FP&A, HR, Legal)

CivicPlus, LLC

Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 23 days ago


CivicPlus rating

7.5

Company rating: 7.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

119th of 186 rated software companies


Job description

Description
About CivicPlus
At CivicPlus, we strive to bring our company vision to life through innovation and collaboration. Supported by approachable leadership and transparent communication, we're empowered to make an impact on local government and the residents they serve. Grow your career alongside great people, where authenticity is welcome, successes are celebrated, and potential is nurtured.
Your Impact
As an AI Enablement Engineer, you will help CivicPlus turn AI into practical, secure, and scalable solutions that improve productivity, quality, and decision-making across the business. You'll partner across Accounting, FP&A, HR, and Legal teams to identify high-value opportunities, build AI-powered tools and workflows, and support adoption in a way that aligns with company standards, governance, and business goals.
This is a practitioner role across back-office functions, with work spanning Accounting, FP&A, HR, and Legal, so business process insight across multiple back-office domains matters.
What you'll do
  • Design, build, and maintain AI-enabled tools, workflows, and internal automations that improve team efficiency and business outcomes.
  • Partner with cross-functional stakeholders to identify high-value AI enablement use cases across product development, operations, support, and internal business functions.
  • Develop integrations between AI services, internal systems, and third-party platforms using APIs, scripting, and automation frameworks.
  • Translate business problems into scalable technical solutions, including prompts, orchestration logic, data pipelines, and supporting applications.
  • Establish and follow best practices for responsible AI usage, including security, privacy, data handling, testing, monitoring, and documentation.
  • Evaluate emerging AI tools, models, and platforms and recommend practical solutions aligned with CivicPlus needs and architecture.
  • Collaborate with engineering and data teams to ensure reliable access to the data, services, and infrastructure needed to support AI-enabled solutions.
  • Create and maintain documentation, technical standards, and reusable patterns that support sustainable AI adoption across teams.
  • Troubleshoot and optimize existing AI automations and integrations to improve reliability, performance, cost-effectiveness, and user experience.
  • Provide technical guidance, training, and enablement support to internal teams adopting AI-powered tools and workflows.
  • Participate as a collaborative member of an Agile team and contribute to continuous improvement of engineering practices and delivery standards.
  • Perform other duties as assigned.
  • Operate as a credible practitioner across FP&A, Accounting, HR, and Legal - challenge broken process before automating it.
  • Build reusable solutions that work across back-office functions; avoid one-off solutions that lock value to a single team.
  • Partner with Eric and Blaine on FP&A planning workflows and reporting cycles.
  • Partner with Accounting on month-end close acceleration, document review, and reconciliation assistance.
  • Partner with HR on employee lifecycle, knowledge management, and people-ops workflows where appropriate.
  • Partner with Legal on contract review, redlining, and document automation within risk tolerance.
  • Maintain a tighter security and data-sensitivity posture given the data involved across G&A.

What we're looking for
  • Bachelor's degree in computer science, engineering, information systems, or a related field preferred; equivalent work experience may be considered.
  • 5-8 years of experience in software engineering, automation engineering, data engineering, machine learning engineering, solutions engineering, or a similar technical role.
  • Experience building or supporting AI-enabled workflows, automations, internal tools, or system integrations.
  • Proficiency in at least one scripting or programming language such as Python or JavaScript.
  • Experience working with APIs, integration patterns, and structured and unstructured data.
  • Familiarity with modern AI/ML concepts, including large language models, prompt design, evaluation, and model or service integration.
  • Experience with cloud platforms and developer tooling used to deploy, monitor, and maintain technical solutions.
  • Strong problem-solving skills and the ability to balance speed, quality, security, and maintainability.
  • Strong written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders.
  • Experience documenting workflows, standards, and technical solutions for long-term maintainability.
  • Preferred experience with workflow automation platforms, data pipelines, governance controls, experimentation, or internal enablement and change management.
  • Preferred experience supporting responsible AI practices, model evaluation, or AI operations in a business environment.
  • Practitioner experience in one or more back-office domains: FP&A, accounting, HR operations, or legal operations - prior to or alongside an AI-engineering background.
  • Strong process judgment. You'll be asked to call out broken process and redesign before automating.
  • High data-sensitivity discipline - comfortable working under tighter governance than typical product or marketing AI work.

Nice to Have
  • Prior FP&A, accounting, HR ops, or legal ops experience (CPA, SHRM, paralegal certifications welcome but not required).
  • Experience with NetSuite, financial systems, HRIS platforms, contract lifecycle management, or document automation tools.
  • Background designing internal tools or back-office automation in a regulated environment.

Why CivicPlus
  • Build practical AI solutions that have visible impact across teams and business functions.
  • Help shape how AI is adopted responsibly, securely, and sustainably across CivicPlus.
  • Partner with cross-functional teams to solve meaningful problems and improve how work gets done.

Compensation and benefits
  • Estimated Salary Grade Range: $119,100 - $181,100
    • Anticipated hiring range: $140,000 - $145,000
    • The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and is based on a 40-hour work week.
  • Benefits: Comprehensive health insurance, dental insurance, vision insurance, Flexible Time Off, 401(k) plan, and more.

Our Hiring Process
  • Introductory call with Talent Acquisition
  • Interview with the Hiring Manager
  • Panel Interview with CivicPlus team members, including an interview project activity
  • Offer

Note: The process may vary slightly depending on the role.
Additional Information
  • CivicPlus is currently unable to provide visa sponsorship for this position now or in the future. Applicants must be authorized to work in the US.
  • We encourage you to apply as soon as possible, as applications will be reviewed on a rolling basis, and the posting may close earlier at the discretion of the Talent Acquisition team.
  • At CivicPlus, we embrace AI and automation as tools that help people work smarter, move faster, and focus on higher-value work that strengthens communities. We encourage thoughtful, responsible use of technology to improve efficiency, support innovation, and enhance the employee and customer experience-while keeping human judgment, collaboration, and accountability at the center of what we do.

Equal Opportunity Commitment
CivicPlus is proud to be an Equal Employment Opportunity employer. We celebrate and support diversity for the benefit of our employees, products, clients, and communities. Reasonable accommodations are available during the interview process.