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$25K

$92.6K

$135.5K

How much do finance mathematics jobs pay per year?

As of Aug 15, 2026, the average yearly pay for finance mathematics in the United States is $92,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $109,000.00 per year, depending on experience, location, and employer.

What is finance mathematics?

Finance mathematics, also known as mathematical finance, is the application of mathematical methods to solve problems in finance. It involves using tools from probability theory, statistics, and differential equations to model financial markets, price financial derivatives, and manage risks. Professionals in this field work with concepts such as portfolio optimization, option pricing, and risk assessment to help organizations make informed financial decisions. Finance mathematics is essential in areas like investment banking, asset management, and insurance, where precise quantitative analysis is required.

What is the difference between Finance Mathematics vs Financial Analyst?

AspectFinance MathematicsFinancial Analyst
Required CredentialsMathematics degree, quantitative certifications (e.g., CFA Level I)Bachelor's degree in finance, economics, or related field; CFA often preferred
Work EnvironmentResearch, modeling, and quantitative analysis in finance firms or academiaFinancial reporting, market analysis, and investment recommendations in banks, investment firms
Industry UsageUsed mainly in quantitative roles, risk management, and financial modelingApplied in investment analysis, portfolio management, and client advisory

Finance Mathematics focuses on advanced quantitative modeling and theoretical analysis, often requiring strong mathematical skills and certifications. Financial Analysts primarily interpret financial data, prepare reports, and advise on investments. While both roles operate within the finance industry, their daily tasks and skill sets differ significantly, with Finance Mathematics being more technical and analytical, and Financial Analysts more client and market-oriented.

What are some common challenges faced by professionals working in finance mathematics, and how can they overcome them?

Professionals in finance mathematics often face the challenge of interpreting complex financial data and developing models that accurately reflect market behaviors. Staying updated with rapidly evolving financial instruments and regulatory requirements can also be demanding. Overcoming these challenges typically involves continuous professional development, leveraging advanced analytical software, and collaborating closely with cross-functional teams such as data scientists and financial analysts. Building strong communication skills is equally important, as conveying complex quantitative findings to non-technical stakeholders is a frequent part of the role.

What are the key skills and qualifications needed to thrive in finance mathematics?

To thrive in Finance Mathematics, you need strong analytical skills, advanced mathematical knowledge, and typically a degree in finance, mathematics, or a related field. Familiarity with statistical software, programming languages like Python or R, and financial modeling tools is often required. Attention to detail, problem-solving abilities, and effective communication are important soft skills for this role. These competencies enable professionals to analyze complex financial data and develop models that inform sound financial decisions.
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What states have the most Finance Mathematics jobs?

States with the most job openings for Finance Mathematics jobs include:

What job categories do people searching Finance Mathematics jobs look for?

The top searched job categories for Finance Mathematics jobs are:

Finance Mathematics jobs near you
Infographic showing various Finance Mathematics job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $92,631 per year, or $44.5 per hour.

Finance Analytics & AI Senior Consultant

Deloitte

Atlanta, GA • On-site

$112K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services

Job description

Job Summary:
Deloitte helps navigate complexity in finance and global business services by providing integrated solutions and deep industry insights. As a Finance Analytics & AI Senior Consultant, you'll support the design and delivery of finance transformation solutions that leverage data, automation, and AI capabilities.
Responsibilities:
• Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities
• Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases such as planning, budgeting, forecasting, profitability, close, and consolidations
• Analyze business, functional, and technical requirements and translate them into solution designs, workflows, and implementation plans
• Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL), and cloud-based platforms
• Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder communications
• Identify delivery risks, track dependencies, and support project execution across cross-functional teams
Qualifications:
Required:
• 4+ years of experience delivering analytics, machine learning, automation, data, or generative and agentic AI solutions
• Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments
• Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of the following model platforms: GPT-4o, Claude, or Llama; and one or more of the following application platforms: ChatGPT, Claude, or Gemini
• Experience working with finance data and use cases related to planning, budgeting, forecasting, close, profitability, or cost allocations
• Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
Preferred:
• Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics, or Statistics
• Experience deploying machine learning or generative and agentic AI solutions into production environments
• Experience with Databricks, Apache Spark, Snowflake, TensorFlow, PyTorch, or scikit-learn
• Experience with finance platforms such as SAP, Oracle, Anaplan, OneStream, or Workday
• Experience with Tableau or Microsoft Power BI
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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