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Ai In Finance Jobs (NOW HIRING)

Abnormal AI, Inc.

R&D Finance Manager

$126K - $181K/yr

You'll work closely with Finance leadership in a role that blends FP&A rigor with operational pragmatism in a fast-paced, remote-first, AI-forward environment. This role will be responsible for ...

Abnormal AI, Inc.

Senior Manager, Corporate Finance

$160K - $231K/yr

You'll manage and grow a small team of corporate finance analysts, and be a driving force in modernizing how the team plans, reports, and operates, with a strong bias toward AI-native workflows. This ...

WSP

Finance AI Manager

Manhattan, NY · On-site

$91K - $163K/yr

As a Global Finance AI Manager, you will help redefine how finance operates by embedding AI ... Strong background in finance (CPA or equivalent preferred) with exposure to transformation ...

WSP

Finance AI Manager

Manhattan, NY · On-site

$91K - $163K/yr

As a Global Finance AI Manager, you will help redefine how finance operates by embedding AI ... Strong background in finance (CPA or equivalent preferred) with exposure to transformation ...

Cognitiv

Finance & AI Analyst

New York, NY · Hybrid

$120K - $145K/yr

As our first Finance & AI Analyst , you'll help transform Finance from a traditional reporting ... This position will be located in New York City with a hybrid work schedule of 3 days in office ...

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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 Aug 22, 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 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 are the key skills and qualifications needed to thrive as an AI professional in finance?

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.

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 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.

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Ai In Finance jobs near you
Infographic showing various Ai In Finance job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $92,631 per year, or $44.5 per hour.

R&D Finance Manager

Abnormal AI, Inc.

Remote

$126K - $181K/yr

Full-time

Re-posted 2 days ago

Job description

About the Role
Abnormal AI is looking for a Finance Manager, R&D to join the Financial Planning and Analysis (FP&A) team reporting to the Sr Director of R&D Finance. The R&D Finance team is responsible for providing strategic financial support to our R&D organization.
This is a builder's role, ideal for someone who enjoys working hands-on with data, shaping processes from the ground up, and influencing decision-making through clear, compelling financial insights. You'll work closely with Finance leadership in a role that blends FP&A rigor with operational pragmatism in a fast-paced, remote-first, AI-forward environment.
This role will be responsible for building, owning & maintaining financial models in support of R&D. This role will help us develop the necessary product, engineering and infrastructure insights and business partnerships to support R&D.
The ideal candidate is a proactive self-starter with demonstrated analytical strength and strong business partnering skills.
What you will do
  • Act as a finance business partner to R&D and Finance leaders, supporting budgeting, forecasting, headcount planning, and monthly/quarterly close deliverables
  • Partner cross-functionally to understand strategic priorities and model scenarios, evaluate trade-offs, and inform decision-making
  • Translate complex financial data into clear, actionable narratives for senior and executive stakeholders
  • Build, maintain, and iterate on dashboards and performance metrics, with a focus on automation, scalability, and data integrity
  • Support annual and quarterly planning cycles in collaboration with Finance, HR, Systems, and other partners as needed
  • Improve forecasting accuracy and financial visibility for supported teams
  • Identify and implement opportunities to streamline processes, improve reporting, and scale finance workflows
  • Champion AI-enabled and automated finance solutions to improve speed, clarity, and efficiency
  • Embrace feedback and iteration, refining analyses and outputs to meet evolving business needs
  • Foster a culture of transparency, operational excellence, and "no ego, just impact" in Finance partnerships
  • Analyze large data sets from our data warehouse to report and forecast infrastructure costs and influence cost optimization
Must Haves
  • Bachelor's or Master's degree in Business, Economics, Engineering or a related field.
  • 8+ years of FP&A or corporate finance or management consulting experience in a high-growth or fast-paced environment
  • Proven ability to operate independently in ambiguous, evolving problem spaces
  • Strong financial acumen across budgeting, forecasting, headcount planning, and executive reporting
  • Experience partnering with senior leaders and influencing decisions through data-driven insights
  • Excellent stakeholder management and cross-functional collaboration skills
  • Advanced modeling and analytical skills (Excel or Google Sheets required)
  • Strong written and verbal communication skills, including comfort presenting to senior audiences
  • Comfort working in a remote-first environment with clear, proactive, and async communication
  • Interest or experience in applying AI or automation to improve finance workflows
Nice to Have
  • Experience supporting R&D functions
  • Experience with planning or BI tools such as Pigment, Workday Adaptive, Looker, or similar
  • Prior experience in SaaS, technology, or high-growth companies
  • Experience with querying big data particularly in Snowflake / SQL

#LI-ME1
Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.
Base salary range:
$126,200-$181,500 USD
A note on AI in our process:Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.
Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.

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