1

Ai Financial Jobs (NOW HIRING)

As our Director, FP&A and AI Finance , you will serve as a key strategic partner to Sur La Table's leadership team, translating financial data into clear, actionable insight that drives business ...

As our Director, FP&A and AI Finance , you will serve as a key strategic partner to Sur La Table's leadership team, translating financial data into clear, actionable insight that drives business ...

US, UK, Canada, France, Portugal (remote) We are seeking a detail-oriented and analytically driven Financial Reporting AI Expert to join our finance and transformation team. This role blends strong ...

Come join Amazon Web Services (AWS) Applied AI Solutions Finance as AWS Finance Analyst! Amazon Web Services (AWS) is a highly reliable, scalable, low-cost infrastructure platform in the cloud that ...

This requires technical capability, financial literacy, and the interpersonal judgment to drive ... Design and build AI-enabled solutions for each assigned use case, applying appropriate tools and ...

next page

Showing results 1-20

Ai Financial information

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes specialized certifications. These roles usually involve leadership, strategic planning, and development of AI systems in large organizations or tech companies. Compensation at this level reflects the complexity and impact of the work, including base salary, bonuses, and stock options.

What is the difference between Ai Financial vs Financial Analyst?

AspectAi FinancialFinancial Analyst
Required CredentialsTypically requires a background in finance, data analysis, or AI-related certificationsBachelor's degree in finance, economics, or related fields; certifications like CFA are common
Work EnvironmentTech-driven finance firms, AI startups, or financial technology companiesBanking institutions, investment firms, corporate finance departments
Industry UsageEmerging role focusing on AI integration in finance processesEstablished role in finance and investment sectors

Ai Financial professionals focus on applying AI technologies to financial tasks, while Financial Analysts analyze financial data to guide investment and business decisions. Both roles require finance knowledge, but Ai Financial emphasizes AI skills and tech integration, whereas Financial Analysts focus on data interpretation and financial modeling.

What cities are hiring for Ai Financial jobs? Cities with the most Ai Financial job openings:
What are the most commonly searched types of Ai Financial jobs? The most popular types of Ai Financial jobs are:
What states have the most Ai Financial jobs? States with the most job openings for Ai Financial jobs include:

Financial planning & analysis (FP&A) AI Expert

Weekday AI

Remote

$100 - $120/hr

Part-time

Posted 19 days ago


Job description

This role is for one of our clients
Compensation: $100-$120 per hour (20 hours per week commitment)
Job Type: Part-time / Contract
Location: US, UK, Canada, France, Portugal (remote)
We are seeking a highly analytical and forward-thinking FP&A AI Expert to join our finance team. This role blends traditional financial planning and analysis with advanced AI-driven insights, enabling data-backed strategic decision-making. The ideal candidate will bring strong financial acumen alongside hands-on experience leveraging AI tools and data models to enhance forecasting accuracy, automate reporting, and uncover actionable insights.
Requirements
Key Responsibilities:
  • Lead the budgeting, forecasting, and variance analysis processes across business units, ensuring accuracy, transparency, and alignment with organizational goals.
  • Develop dynamic financial models that incorporate AI/ML techniques to improve forecast precision and identify trends, risks, and opportunities.
  • Perform detailed variance analysis (actual vs. budget/forecast), providing clear explanations and actionable recommendations to senior leadership.
  • Design and implement long-range planning frameworks, including multi-year financial projections and strategic roadmaps.
  • Build scenario models to evaluate the financial impact of business decisions, market changes, and operational strategies.
  • Define, monitor, and refine key performance indicators (KPIs) that align with business objectives and drive performance accountability.
  • Develop AI-powered dashboards and reporting tools for real-time KPI tracking and decision support.
  • Collaborate cross-functionally with finance, operations, product, and data teams to integrate financial insights into business strategies.
  • Automate repetitive FP&A processes using AI tools, improving efficiency and reducing manual effort.
  • Translate complex financial data into clear, concise insights for stakeholders, including senior management and executives.

Required Skills & Qualifications:
  • Bachelor's degree in Finance, Accounting, Economics, Data Science, or a related field; MBA/CA/CFA is a plus.
  • 3-8 years of experience in FP&A, financial modeling, or corporate finance.
  • Strong expertise in budgeting, forecasting, and variance analysis.
  • Proven experience in long-range planning and scenario modeling.
  • Ability to define and track KPIs that drive business performance.
  • Familiarity with AI/ML applications in finance, including predictive analytics and automation tools.
  • Advanced proficiency in Excel and financial modeling; experience with tools like Python, SQL, Power BI, or Tableau is highly desirable.
  • Strong analytical thinking and problem-solving skills with attention to detail.
  • Excellent communication skills, with the ability to present insights to non-finance stakeholders.

Preferred Qualifications:
  • Experience working with AI-driven financial planning platforms or enterprise planning tools (e.g., Anaplan, Adaptive Insights).
  • Knowledge of data visualization and dashboarding best practices.
  • Exposure to automation tools and scripting for finance processes.

What Success Looks Like:
  • Improved forecasting accuracy through AI-driven models.
  • Streamlined budgeting and reporting processes with reduced manual intervention.
  • Clear visibility into business performance through well-defined KPIs and dashboards.
  • Strategic insights that directly influence business decisions and growth.