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Ai In Finance Jobs in Virginia (NOW HIRING)

Deloitte

Finance Analytics & AI Manager

Richmond, VA · On-site

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 ...

Deloitte

Finance Analytics & AI Manager

Mclean, VA · On-site

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 ...

Deloitte

Finance Analytics & AI Manager

Mclean, VA · On-site

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 ...

Deloitte

Finance Analytics & AI Manager

Richmond, VA · On-site

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 ...

Dlapiper

FP&A Analyst

Reston, VA · Hybrid

Looking forward, this individual supports the firm's adoption of AI in finance and professional services and is passionate about using automation and advanced analytics to improve finance processes.

DLA Piper

FP&A Analyst

Reston, VA · On-site

Looking forward, this individual supports the firm's adoption of AI in finance and professional services and is passionate about using automation and advanced analytics to improve finance processes.

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All JobsAi In Finance JobsAi In Finance Jobs in Virginia

Ai In Finance information

See Virginia salary details

$24.8K

$91.8K

$134.3K

How much do ai in finance jobs pay per year?

As of Jul 30, 2026, the average yearly pay for ai in finance 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 a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior data scientist, or machine learning executive, often in finance or technology sectors. These roles usually require advanced skills in machine learning, deep learning, programming, and experience with AI tools, and they often involve leadership responsibilities and strategic decision-making.

What is the difference between Ai In Finance vs Data Analyst in Finance?

AspectAi In FinanceData Analyst in Finance
Required CredentialsDegree in Finance, Computer Science, or related fields; knowledge of AI and machine learningDegree in Finance, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentTech-driven finance teams, AI development labs, financial institutionsFinancial firms, banks, investment companies, data analysis departments
Employer & Industry UsageFinancial technology companies, banks integrating AI solutionsFinancial services firms analyzing market data, risk, and client information

Ai In Finance focuses on developing and implementing AI solutions within finance, requiring technical and financial expertise. Data Analysts in Finance interpret financial data to support decision-making. While both roles work with financial data, Ai In Finance emphasizes AI development, whereas Data Analysts focus on data interpretation and reporting.

Which 3 jobs will survive AI?

In finance, AI is expected to complement roles such as financial analysts, risk managers, and compliance officers, as these jobs require complex judgment, interpretation of data, and ethical considerations that are difficult to automate fully. These positions involve strategic decision-making, regulatory understanding, and interpersonal skills that remain valuable despite technological advances.

How do professionals in AI in Finance typically collaborate with other departments within a financial institution?

Professionals working in AI in Finance often collaborate closely with teams such as risk management, compliance, and data engineering. They work together to define business requirements, ensure the quality and security of financial data, and interpret AI models’ results for practical decision-making. Effective communication is key, as AI specialists must translate complex technical findings into actionable insights for non-technical stakeholders. This collaborative environment fosters innovation and helps drive solutions that align with both regulatory standards and business goals.

What is AI in finance?

AI in finance refers to the use of artificial intelligence technologies and machine learning algorithms to automate, enhance, and optimize various financial services and processes. This includes applications such as fraud detection, algorithmic trading, credit risk assessment, customer service chatbots, and personalized financial advice. By leveraging large datasets and advanced analytics, AI can improve decision-making, reduce operational costs, and deliver more accurate and timely financial insights. Many financial institutions are increasingly adopting AI to stay competitive and comply with regulatory requirements.

What AI skills are in demand for finance?

AI skills in demand for finance include proficiency in machine learning, data analysis, and programming languages such as Python and R. Knowledge of financial modeling, natural language processing, and experience with AI frameworks like TensorFlow or PyTorch are also highly valued in roles involving financial analytics and automation.

What are the key skills and qualifications needed to thrive as an AI professional in Finance, and why are they important?

To thrive as an AI professional in Finance, you need a strong background in data science, machine learning, quantitative analysis, and finance, often supported by degrees in computer science, mathematics, or finance. Familiarity with programming languages like Python or R, experience with AI/ML frameworks (such as TensorFlow or PyTorch), and understanding of financial systems or regulatory standards are typically required. Strong analytical thinking, attention to detail, and effective communication skills set top performers apart in this field. These skills are vital for developing robust AI solutions that drive financial insights, improve decision-making, and ensure regulatory compliance.

Can AI do finance jobs?

AI in finance jobs involves automating tasks such as data analysis, risk assessment, and trading using machine learning algorithms and data processing tools. While AI can perform many repetitive and data-driven tasks, human oversight remains essential for strategic decision-making and ethical considerations.
What are popular job titles related to Ai In Finance jobs in Virginia? For Ai In Finance jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Ai In Finance jobs in Virginia look for? The top searched job categories for Ai In Finance jobs in Virginia are:
What cities in Virginia are hiring for Ai In Finance jobs? Cities in Virginia with the most Ai In Finance job openings:
Ai In Finance jobs near you
Infographic showing various Ai In Finance job openings in Virginia as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $91,837 per year, or $44.2 per hour.

Finance Transformation Analyst - AI & Emerging Tech

AAA United States Inc

Herndon, VA

Other

Re-posted 17 days ago

Job description

Description

About the Company:

We provide specialized subcontracting and technical assistance services to support clients in the transport and aerospace industries. We work closely with clients to ensure that our solutions meet their needs and exceed their expectations. Our team members are motivated individuals that do remarkable things every day!


Position Summary:

AAA United States, Inc. has partnered with a company in Herndon, VA that is an international pioneer in the aerospace industry. They are a leader in designing, manufacturing and delivering aerospace products, services and solutions to customers on a global scale. A commercial aircraft manufacturer, with Space and Defense they are the largest aeronautics and space company in Europe and a worldwide leader.


Essential Functions:

AI Initiative Leadership & Implementation (40%)

  • Deliver on the Finance Transformation roadmap by driving the adoption of existing and new AI solutions.
  • Implement AI-based tools & integrate AI further into the Finance Function as a primary point of contact for AI-related use cases.
  • Identify and develop AI use cases that deliver measurable value and efficiency to the finance teams.
  • Predictive Modeling: Move beyond historical reporting to build ML-driven models for revenue forecasting, cash flow, and variance analysis.
  • Team Upskilling & Change Management: Act as the internal "AI Coach" for the finance team. Promote awareness and understanding of AI technologies across the North American finance teams.
  • Provide leadership in ensuring consistent use of the Airbus project methodology.
  • Be an expert to manage high-risk & complex projects while leveraging cross-functional resources and capabilities.

Process Optimization & Transformation (30%)

  • Support the transition from legacy processes to modern solutions.
  • Promote the usage of modern interfaces to enhance user experience and data integrity.
  • Prompt Engineering: Act as the team's lead in crafting and refining prompts for Large Language Models (LLMs) to extract insights and automate financial narratives.
  • Data Integrity: Secure data consistency across ERPs (P11, AP1, PAM, PEA, PFW & EC2) by leveraging AI for real-time anomaly and fraud detection and establish protocols to secure the month-end close and ensure absolute data integrity.
  • Legacy Decommissioning: Spearhead the transition from MS Office-based workflows to AI-integrated platforms treating data as a product rather than a file.
  • Develop and execute meticulous project plans, encompassing scope definition, resource allocation, risk assessment, and change management strategies, ensuring on-time and within-budget delivery.
  • Create and maintain detailed process documentation, including configuration guides, user manuals, and standard operating procedures, fostering knowledge transfer and ensuring long-term system sustainability.

Stakeholder Collaboration & Change Management (15%)

  • Collaborate closely with the European extended team and local stakeholders across Functions and Divisions to ensure regional alignment with global standards.
  • Promote awareness and understanding of AI technologies across the North American finance community.

Compliance & Data Integrity (10%)

  • Segregation of Duties (SoD): Ensure AI automation maintains the integrity of the Airbus SoD matrix and internal control frameworks.
  • Standardization: Enforce the "Airbus Way of Working" by ensuring AI tools do not create "shadow processes" but instead reinforce the core Finance Transformation strategy.
  • Secure data integrity and consistency for financial reporting through the use of advanced data tools.
  • AI Auditing: Regularly audit algorithms for transparency, fairness, and strict regulatory compliance (ICSA/SOX).

Other tasks as requested (5%)

Requirements

  • Bachelor's Degree in Finance, Business Analytics, Accounting, Information Systems or related field of study.
  • 2-5 years of experience in Finance or Accounting. 
  • Proven experience in financial analysis combined with a strong background in implementing transformation and AI-driven projects.
  • You must deeply understand the "Why" behind the numbers before you can automate the "How."
  • 15% Domestic and International Travel involved

Preferred:

  • A Master's degree is highly preferred.
  • Additional Languages appreciated (German, Spanish and French etc.)
  • Previous Airbus work experience in finance transformation

Apply