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Ai In Finance Jobs (NOW HIRING)

Mercor

Agentic Finance Engineer

San Francisco, CA · On-site

$175K - $250K/yr

Our vast talent network trains frontier AI models in the same way teachers teach students: by ... Mercor's first Agentic Finance Engineer. You'll sit at the intersection of finance, data ...

Weekday AI

Financial modeling AI Expert

$100 - $120/hr

Apply AI and data-driven techniques to automate, optimize, and improve the accuracy of financial ... Bachelor's or Master's degree in Finance, Economics, Accounting, Engineering, or a related field;

Artian AI

Senior Product Manager

New York, NY · On-site

$150K - $175K/yr

We are an in-person team in New York, building at the intersection of AI, enterprise software, workflow automation, and financial services. We move with urgency, take ownership, communicate ...

Eliassen Group

Interim FP&A Transformation Lead

Almont, CO · On-site

$90 - $110/hr

... AI-enabled solutions * Drive finance transformation efforts by coordinating cross-functional ... Proven involvement in finance transformation initiatives, including FP&A process improvement and ...

Wmeimg

FP&A Financial Analyst

New York, NY · Hybrid

$90K/yr

Comfortable working across finance, systems, and emerging AI tools Qualifications: * Bachelor's degree in Finance, Accounting, Economics, or related field * 3-6 years of experience in FP&A, financial ...

WME Group

FP&A Financial Analyst

New York, NY · On-site

$90K/yr

Comfortable working across finance, systems, and emerging AI tools Qualifications: * Bachelor's degree in Finance, Accounting, Economics, or related field * 3-6 years of experience in FP&A, financial ...

WME Group

FP&A Financial Analyst

New York, NY · Hybrid

$90K/yr

Comfortable working across finance, systems, and emerging AI tools Qualifications: * Bachelor's degree in Finance, Accounting, Economics, or related field * 3-6 years of experience in FP&A, financial ...

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Ai In Finance information

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$25K

$92.6K

$135.5K

How much do ai in finance jobs pay per year?

As of Jul 11, 2026, the average yearly pay for ai in finance 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 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.
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What cities are hiring for Ai In Finance jobs? Cities with the most Ai In Finance job openings:
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What job categories do people searching Ai In Finance jobs look for? The top searched job categories for Ai In Finance jobs are:
Ai In Finance jobs near you
Infographic showing various Ai In Finance job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $92,631 per year, or $44.5 per hour.
Agentic Finance Engineer

Agentic Finance Engineer

Mercor

San Francisco, CA • On-site

$175K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 23 days ago

Job description

About Mercor
Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $3 million a day.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You'll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About Mercor
Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $3 million a day.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You'll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
This is a rare, foundational hire: Mercor's first Agentic Finance Engineer. You'll sit at the intersection of finance, data engineering, and applied AI - building the systems and infrastructure that power how our finance and corporate operations team runs.
You will design and deploy the modern data and automation stack from the ground up: architecting scalable financial data models, integrating AI agents into real workflows, and turning manual, spreadsheet-driven processes into reliable, production-grade systems.
The ideal candidate has deep finance domain knowledge - you understand how the books actually close, how procurement flows, how revenue is recognized - and the technical fluency to translate that understanding into durable, automated systems. You're equally comfortable in a SQL editor and in a conversation with the CFO, and you're energized by building in a zero-to-one environment.
What You'll Do
Finance Data & Systems
  • Facilitate the design, build, and maintenance of a reliable financial data foundation using modern tools (.g. dbt, FiveTran, Snowflake/BigQuery, Airflow), covering revenue, AP/AR, procurement, close, strategic finance and FP&A
  • Partner closely with data infrastructure team to build Mercor's financial data model: define canonical datasets, dimensional schemas, and the transformation logic that serves Finance stakeholders
  • Partner with Finance leads across accounting, strategic finance, and operations to translate business requirements into technical architecture
  • Build and maintain dashboards and self-serve reporting tools that give finance leaders real-time visibility into key metrics

AI & Automation
  • Own the Agentic Finance roadmap - prioritizing use cases and driving features from ideation to deployment
  • Identify high-value automation opportunities across Finance and corporate operations - month-end close tasks, reconciliations, procurement workflows, variance analysis - and ship solutions that eliminate manual work
  • Build intelligent, reliable automation via agents (in partnership with engineering teams), AI-powered tools, and multi-step ETL jobs into live finance workflows, using APIs (including frontier models)
  • Build internal tooling that Finance teams actually use: lightweight apps, workflow automations, and AI-assisted processes that save meaningful time at scale
  • Stay at the frontier of what's possible with AI in Finance (meeting other finance teams, reading research, etc.), and proactively bring new capabilities to bear on Mercor's highest-leverage operational problems

Governance, Quality & Scale
  • Enforce data integrity standards and testing practices across all financial data products - ensuring auditability and reliability for a maturing Finance function
  • Ensure AI-assisted processes meet appropriate governance and controls standards, with clear auditability of model outputs used in financial workflows
  • Champion a culture of data quality and documentation so that Finance teams trust and rely on the systems you build

What We're Looking For
  • 3+ years of experience spanning finance operations, data engineering, analytics engineering, data science, or a combination - with a track record of shipping reliable systems in high-growth environments
  • Understand the data needs of finance and corporate operations, including accounting, finance operations, FP&A, strategic finance, and procurement
  • You should be very proficient in SQL and Python. While you can learn data & workflow orchestration tools on-the-job, we expect you to have a very strong computer science fundamentals.
  • A builder's instinct: you take ownership of problems, move fast, and know when to do things properly versus pragmatically
  • Excellent communication skills - you can explain a data model to a CFO and a pipeline architecture to an engineer
  • Experience navigating ambiguity in early-stage or rapidly scaling environments

Bonus Points
  • Hands-on experience deploying AI agents or LLM-powered tools
  • Experience with financial data governance and audit readiness
  • Background in strategic finance, accounting, FP&A, or finance transformation - or time spent in a high-growth tech company's finance function

Compensation
  • Base cash comp from $175K - $250k
  • Generous equity grant vested over 4 years
  • Up to $15k Relocation bonus
  • $10K housing bonus (if you live within 0.5 miles of our office)
  • $1.5K monthly stipend for meals
  • Free Equinox membership
  • $200 monthly laundry reimbursement
  • $200 monthly personal wellness reimbursement
  • Health, Dental, Vision insurance
  • 401(k) with company match

Apply