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Finance Mathematics Jobs in Virginia (NOW HIRING)

Bachelor's degree in Finance, Mathematics, Computer Science, or a related quantitative field.

Cost Analyst III

Fort Belvoir, VA · On-site

$95K - $105K/yr

Finance * Mathematics * Proficient in ACEIT software About Mayvin Mayvin is more than a workplace-it's a community built on innovation, inclusion, and impact. Enjoy outstanding benefits and amenities ...

Advises the Chief Financial Officer on the fiscal impact related to City policy decisions and ... Mathematical Requirements: Mathematics requires the use of symbols, numbers and formulas to solve ...

Finance * Mathematics * Proficient in ACEIT software About Mayvin Mayvin is more than a workplace--it's a community built on innovation, ingenuity, and impact. Enjoy outstanding benefits and ...

Cost Analyst II

Fort Belvoir, VA · On-site

$70K - $80K/yr

Finance * Mathematics * Proficient in ACEIT software About Mayvin Mayvin is more than a workplace-it's a community built on innovation, ingenuity, and impact. Enjoy outstanding benefits and amenities ...

Finance * Mathematics * Proficient in ACEIT software About Mayvin Mayvin is more than a workplace--it's a community built on innovation, inclusion, and impact. Enjoy outstanding benefits and ...

... finance, and computational science applications. * Conceptual Teaching & Problem-Solving: Skilled ... Emphasizes bridging pure mathematics with practical applications, connecting theory to fluid ...

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Showing results 1-20

Finance Mathematics information

See Virginia salary details

$24.8K

$91.8K

$134.3K

How much do finance mathematics jobs pay per year?

As of Aug 20, 2026, the average yearly pay for finance mathematics in Virginia is $91,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,400.00 and $108,100.00 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 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.

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 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.

Is financial mathematics a good career?

Financial mathematics is a strong career choice for those interested in quantitative analysis, risk management, and financial modeling. It often requires advanced mathematical skills, programming knowledge, and certifications such as CFA or FRM, and offers opportunities in banking, investment firms, and insurance companies.

What can you do with a finance mathematics degree?

A finance mathematics degree prepares individuals for roles such as financial analyst, risk analyst, quantitative analyst, or investment banker. These positions involve applying mathematical models, statistical analysis, and financial theory to evaluate investments, manage risk, and support decision-making in finance firms or banking environments.

What does a finance mathematician do?

A finance mathematician applies mathematical models and statistical techniques to analyze financial data, assess risk, and develop investment strategies. They often work with tools like Excel, programming languages such as Python or R, and may require certifications like CFA or FRM. Their work supports decision-making in banking, investment firms, and financial services environments.

What jobs can you get with finance mathematics?

With a background in finance mathematics, common jobs include financial analyst, risk analyst, quantitative analyst, investment analyst, and actuarial analyst. These roles often require strong analytical skills, proficiency with statistical tools, and knowledge of financial modeling and data analysis. Certifications like CFA or actuarial exams can enhance job prospects.

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

The top searched job categories for Finance Mathematics jobs in Virginia are:

Infographic showing various Finance Mathematics job openings in Virginia as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution, with an average salary of $91,837 per year, or $44.2 per hour.

Finance Analytics & AI Senior Consultant

Deloitte

Richmond, VA • On-site

$115K/yr

Full-time

Re-posted yesterday


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 151 rated financial services


Job description

In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.

Recruiting for this role ends on 09/14/2026.

Work you'll do

As a Finance Analytics & AI Senior Consultant, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Senior Consultants are expected to contribute to the firm's growth and development in a variety of ways.

  • 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

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Within our Finance Transformation offering, the Business Finance team helps unlock strategic value through enhanced financial planning, forecasting, and analytics capabilities. By combining next-generation processes, scalable data platforms, and AI, we deliver insights that are accurate, timely, and actionable.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics
  • 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
  • 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

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200-$229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:
In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.

Recruiting for this role ends on 09/14/2026.

Work you'll do

As a Finance Analytics & AI Senior Consultant, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Senior Consultants are expected to contribute to the firm's growth and development in a variety of ways.

  • 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

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Within our Finance Transformation offering, the Business Finance team helps unlock strategic value through enhanced financial planning, forecasting, and analytics capabilities. By combining next-generation processes, scalable data platforms, and AI, we deliver insights that are accurate, timely, and actionable.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics
  • 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
  • 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

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200-$229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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