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Financial Analytics Engineer Jobs (NOW HIRING)

CFS

Financial Analytics Engineer

Maitland, FL · On-site

$120K/yr

Financial Analytics Engineer Compensation: Up to $120,000 (DOE) Location: Orlando, FL (Hybrid) Applicants must reside in or be within commuting distance of the Greater Orlando area. About the ...

Harvey

Senior Analytics Engineer, Finance

They are seeking a versatile Senior Analytics Engineer to partner closely with the Finance team in ... LookML/Omni/Other) that standardizes financial and operating metrics, including revenue, retention ...

@Orchard

Lead Data Analytics Engineer

Washington, DC · Remote

$160K - $230K/yr

Your responsibilities as a Financial Reporting Consultant. · Lead the design, development ... analysts, engineers, and developers while remaining hands-on with technical delivery. · Support ...

Harvey

Senior Analytics Engineer, Finance

New York, NY · On-site

$155K - $235K/yr

As an Analytics Engineer on our team, you'll help evolve our data stack, champion best practices in ... LookML/Omni/Other) that standardizes financial and operating metrics, including revenue, retention ...

Brown & Brown Insurance

Financial Analytics Manager

$100K - $130K/yr

Youwill join a talented team of pharmacists, actuaries, data engineers and experienced pharmacy ... The Financial Analytics Manager will work on all aspects of financial product and service delivery ...

Brown & Brown, Inc.

Financial Analytics Manager

$100K - $130K/yr

You will join a talented team of pharmacists, actuaries, data engineers and experienced pharmacy ... The Financial Analytics Manager will work on all aspects of financial product and service delivery ...

Webster Bank

Manager, Financial Analytics

Stamford, CT · On-site

$110 - $130/hr

The Financial Analytics Manager is responsible for the quarterly execution of the vendor models ... Proficient in Python/SAS Programming Language. * Knowledge of advanced statistical techniques and ...

Webster Bank

Manager, Financial Analytics

Stamford, CT · On-site

$112K - $147K/yr

The Financial Analytics Manager is responsible for the quarterly execution of the vendor models ... Engineering, Software Development or related field. * Experience working with unstructured ...

Focus Financial Partners

$90K - $110K/yr

Position Summary The Analytics Engineer is responsible for owning the design, build, and ongoing ... Experience in financial services, wealth management, or other regulated industries is a plus.

Webster Bank

Manager, Financial Analytics

Stamford, CT · On-site

$112K - $147K/yr

The Financial Analytics Manager is responsible for the quarterly execution of the vendor models ... Proficient in Python/SAS Programming Language. * Knowledge of advanced statistical techniques and ...

Extend

Analytics Engineer

$138K - $161K/yr

About the Role: We're looking for an Analytics Engineer to help ensure data integrity across Extend's financial and operational systems. This architecture powers reconciliation, audit readiness, and ...

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Financial Analytics Engineer information

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$76K

$110.8K

$136K

How much do financial analytics engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for financial analytics 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 a financial analytics engineer?

A Financial Analytics Engineer is a professional who combines expertise in finance, data analysis, and engineering to develop systems that analyze financial data and generate actionable insights. They use programming, statistical methods, and machine learning to build financial models, automate data processing, and support decision-making for businesses. Their work often involves collaborating with finance teams, data scientists, and IT professionals to create tools that improve financial planning, risk management, and reporting.

What are the key skills and qualifications needed to thrive as a financial analytics engineer?

To excel as a Financial Analytics Engineer, you need strong quantitative analysis skills, proficiency in financial modeling, and a background in finance, mathematics, or computer science. Expertise with programming languages like Python or R, experience with data visualization tools (such as Tableau or Power BI), and familiarity with financial databases are typically required. Critical thinking, attention to detail, and effective communication help professionals translate complex data into actionable financial insights. These skills ensure accurate analysis, drive informed business decisions, and enable collaboration with both technical and non-technical stakeholders.

How do financial analytics engineers typically collaborate with finance and data teams during a project?

Financial Analytics Engineers regularly work alongside finance professionals to understand business requirements and ensure analytics solutions address real financial challenges. They also collaborate with data engineers and data scientists to source, clean, and analyze financial data, often participating in cross-functional meetings to align on project goals and share progress. Effective communication and the ability to translate technical findings into actionable business insights are key to success in this collaborative environment. This multidisciplinary teamwork not only enriches project outcomes but also offers valuable opportunities for professional growth and knowledge sharing.

What is the difference between Financial Analytics Engineer vs Data Analyst?

AspectFinancial Analytics EngineerData Analyst
Required CredentialsBachelor's in Finance, Data Science, or related fields; certifications like CFA or SQL proficiencyBachelor's in Statistics, Mathematics, or related fields; often SQL and Excel skills
Work EnvironmentFinance or banking firms, investment companies, fintechVarious industries including marketing, healthcare, retail, and finance
Employer & Industry UsageFinancial institutions, investment firms, fintech startupsBroad industry application, including finance, marketing, and consulting

Financial Analytics Engineers focus on developing financial models and analytics specific to finance sectors, often requiring finance-specific certifications. Data Analysts have a broader scope across industries, analyzing data to inform business decisions. Both roles require strong analytical skills, but their industry focus and tools may differ.

Do financial analytics engineers make good money?

Financial analytics engineers typically earn competitive salaries that vary based on experience, location, and industry. They often have strong skills in data analysis, programming, and financial modeling, which can lead to higher compensation levels compared to other analytics roles.

Is a financial analytics engineer a good career?

A financial analytics engineer is a specialized role that involves developing models and tools to analyze financial data, often requiring skills in programming, data analysis, and finance. It is considered a growing field with opportunities in finance, banking, and investment firms, and typically offers competitive salaries and career advancement potential.

What cities are hiring for Financial Analytics Engineer jobs?

Cities with the most Financial Analytics Engineer job openings:

What states have the most Financial Analytics Engineer jobs?

States with the most job openings for Financial Analytics Engineer jobs include:

Infographic showing various Financial Analytics Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $110,812 per year, or $53.3 per hour.

Financial Analytics Engineer

CFS

Maitland, FL • On-site

$120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Financial Analytics Engineer

Compensation: Up to $120,000 (DOE)
Location: Orlando, FL (Hybrid)

Applicants must reside in or be within commuting distance of the Greater Orlando area.

About the Opportunity

Our client is expanding its Business Intelligence team and is looking for a Financial Analytics Engineer who is passionate about transforming data into meaningful business insights. This role blends finance, analytics, data engineering, and business intelligence to support strategic decision-making across the organization.

You'll have the opportunity to build predictive models, enhance reporting capabilities, optimize data infrastructure, and collaborate with business leaders on initiatives that drive measurable business performance.

Why You'll Want This Role
  • Join a growing Business Intelligence team with organization-wide visibility
  • Develop predictive models and financial analytics that influence strategic decisions
  • Work with modern cloud-based data platforms and business intelligence technologies
  • High level of ownership, autonomy, and cross-functional collaboration
  • Partner directly with executive leadership and key business stakeholders
  • Competitive compensation, comprehensive benefits, and strong long-term career growth

This role is ideal for an analytics professional who enjoys solving business problems through financial modeling, automation, and data-driven decision-making.

Key Responsibilities
  • Develop predictive analytics models supporting financial forecasting, budgeting, and performance management
  • Build analytical datasets, financial models, and reporting solutions that improve business decision-making
  • Query, transform, and analyze large datasets using SQL and cloud-based data warehouse technologies
  • Design, maintain, and enhance executive dashboards, KPIs, and recurring financial and operational reports
  • Support data engineering efforts, including ETL development, pipeline optimization, automation, and data validation
  • Collaborate with Finance, IT, and business teams to deliver scalable analytics and reporting solutions
  • Improve data quality, reporting consistency, and overall analytics processes
  • Present financial and operational insights to both technical and non-technical audiences
  • Participate in continuous improvement initiatives across the Business Intelligence function

Qualifications
  • Bachelor's degree in Finance, Accounting, Data Analytics, Computer Science, Information Systems, Mathematics, Statistics, or a related discipline
  • Three or more years of experience in Financial Analytics, Business Intelligence, Analytics Engineering, FP&A Analytics, Data Engineering, or a related field
  • Strong SQL skills with experience querying, transforming, and analyzing complex data
  • Experience working with cloud-based data warehouse platforms such as AWS Redshift or comparable technologies
  • Background in predictive analytics, financial forecasting, statistical analysis, business modeling, or financial modeling
  • Experience using Python, R, or similar programming languages for automation, analytics, or modeling
  • Understanding of data modeling concepts, ETL processes, and data governance best practices
  • Experience with Power BI, DAX, Microsoft Fabric, Salesforce, APIs, or similar business intelligence platforms is highly preferred
  • Strong communication skills with the ability to translate technical findings into actionable business recommendations
  • Must be authorized to work in the United States without current or future sponsorship

Benefits
  • Hybrid work environment
  • Competitive salary up to $120,000 based on experience
  • Comprehensive medical, dental, and vision insurance
  • 401(k) with employer match
  • Paid time off and company holidays
  • Professional development and career advancement opportunities
  • High visibility with executive leadership
  • Opportunity to help shape and expand a growing Business Intelligence and Analytics team
  • Why Apply?

If you're passionate about combining finance, analytics, and technology to solve complex business challenges, this role offers the opportunity to make a significant impact. You'll build predictive models, improve reporting capabilities, and help leadership make smarter, data-driven decisions while growing your career within an innovative and expanding organization.

Apply