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Financial Engineer Jobs in Baltimore, MD (NOW HIRING)

Senior Analyst, Project Structuring

Baltimore, MD · On-site

$85K - $105K/yr

Master's degree in Business Administration, Finance, Engineering or related field plus 3-5 years of experience reflecting demonstrable ability in the skill set described above. * Applicable ...

Sr Financial Analyst

Hanover, MD · Hybrid

$80K - $85K/yr

Financial analysts work closely with the Financial Reporting Controller to prepare the budget ... 30,000 engineering and sciences consultants and more than 4,500 clients across the U.S., Canada ...

Senior Analyst, Project Structuring

Baltimore, MD · On-site

$85K - $105K/yr

Master's degree in Business Administration, Finance, Engineering or related field plus 3-5 years of experience reflecting demonstrable ability in the skill set described above. * Applicable ...

Sr. Financial Analyst

Baltimore, MD · On-site

$86K - $108K/yr

... engineering and manufacturing solutions spanning product design, printed circuit board layout, test ... The Role The Senior Financial Analyst plays a critical role in providing the financial insight ...

Senior Systems Engineer

Nottingham, MD · On-site

$93K - $118K/yr

Join Mariner Finance! Since 1927, the Mariner Finance family of companies has provided customers ... Engineer and maintain standardized enterprise workstation images and configurations, including ...

Senior Systems Engineer

Nottingham, MD · On-site

$93K - $118K/yr

Join Mariner Finance! Since 1927, the Mariner Finance family of companies has provided customers ... Engineer and maintain standardized enterprise workstation images and configurations, including ...

Showing results 21-40

Financial Engineer information

See Baltimore, MD salary details

$75.5K

$110.1K

$135.1K

How much do financial engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for financial engineer in Baltimore, MD is $110,107.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $123,700.00 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.

What are popular job titles related to Financial Engineer jobs in Baltimore, MD?

For Financial Engineer jobs in Baltimore, MD, the most frequently searched job titles are:

What cities near Baltimore, MD are hiring for Financial Engineer jobs?

Cities near Baltimore, MD with the most Financial Engineer job openings:

Infographic showing various Financial Engineer job openings in Baltimore, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $110,107 per year, or $52.9 per hour.

Financial Data and Analytics Manager

Jensen Hughes

Columbia, MD

Full-time

Re-posted 12 days ago


Job description

Company Overview

Throughout our worldwide network of experts, clients and communities, we are renowned for our leadership in fire protection engineering - a legacy of responsibility we have proudly upheld since 1939. Today, our expertise extends broadly across closely related security and risk-based fields - from accessibility consulting and risk analysis to process safety, forensic investigations, security risk consulting, emergency management, digital innovation and more.

Our engineers and consultants collaborate to solve complex safety and security challenges, ensuring our clients can protect what matters most. For over 80 years, we have helped mitigate risks that threaten lives, property and reputations. Through technology, expertise and industry-leading research, we remain dedicated to our purpose of making our world safe, secure and resilient.

At Jensen Hughes, we believe that creating and sustaining a culture of trust, integrity and professional growth starts with putting our people first. Our employees are our greatest strength, and we value the unique perspectives and talents they bring to our organization. 

Our wide range of Global Employee Networks connect people from across the organization, supporting career development and providing forums for individuals to share experiences on topics they're passionate about. Together, we are cultivating a connected culture where everyone has the opportunity to learn, grow and succeed together.

Job Overview

We are seeking an experienced finance-forward Data & Analytics Manager to bridge financial insight with advanced analytics across the organization. This role will partner directly with Finance and Operations leadership to transform complex data into actionable business decisions, improve operational performance, and accelerate finance transformation initiatives. 

The ideal candidate combines strong financial acumen with hands-on data expertise, including large-scale data modeling, data engineering, data conditioning, Power BI, and modern analytics tools. This role is not purely technical; it requires someone who understands how project delivery, utilization, and margin drivers translate into financial performance in a professional services environment. 

Responsibilities

  • Build and scale data models, dashboards, and analytical frameworks to support portfolio, pricing, and resource planning decisions 
  • Develop and execute the Finance AI Strategic Roadmap by identifying practical use cases, coordinating stakeholders, and embedding AI-enabled insights into finance processes and decision-making. 
  • Support strategic initiatives including profitability improvement, price leverage analysis, backlog optimization, and global scaling efforts 
  • Identify drivers of margin, utilization, and project performance, and recommend actions to improve outcomes 
  • Deliver concise, executive-ready insights and presentations for Finance leadership and ELT  
  • Partner with FP&A and operational leaders to translate data into actionable financial insights and recommendations 

Requirements and Qualifications

Required Qualifications: 

  • Bachelor's degree in Finance, Economics, Data Science, Mathematics, Engineering, or related field 
  • 5+ years of experience in finance analytics, business intelligence, FP&A analytics, or decision support, including ownership of KPI frameworks, data models, dashboards, and recurring performance reporting for senior business stakeholders 
  • Strong experience with Power BI; experience building scalable dashboards and data models 
  • Strong foundation in finance (P&L, margin drivers, utilization, forecasting) in a project-based or professional services environment 
  • Experience developing and executing an AI/ML roadmap for finance, including identifying practical use cases and embedding predictive or AI-enabled insights into planning, forecasting, reporting, or decision-making processes 
  • Deep understanding of project-based business models and how operational decisions impact financial outcomes 
  • Proven ability to own analytics workstreams end-to-end, including data sourcing, data engineering, big data integration, data conditioning, and development of scalable data models that support executive-level insights beyond dashboard visualization 
  • Experience working cross-functionally with Finance, Operations, IT, and senior leadership to translate analytics into recommendations, and advise on business data informed outcomes 
  • Demonstrated impact in driving performance improvement, cost optimization, or strategic decision-making  
  • Ability to simplify complex data into clear, actionable insights for non-technical stakeholders 
  • Advanced Excel and financial modeling skills 

Preferred Skills and Experience: 

  • Proficiency with SQL, Python, R, or Alteryx 
  • Experience with ERP/project systems (e.g., Deltek Costpoint, CRM) 
  • Exposure to AI/ML tools or predictive analytics applied to finance or operations 

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