Artificial Intelligence

Artificial Intelligence Finance Jobs

24 jobs found

Today

Finance Data Engineer

Apple Austin, TX

Austin, TX

Today

$149k - $249k/yr Full time Artificial Intelligence Big Data Data Analytics

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Job Description

The Product Marketing Customer Analytics team is seeking a Finance Data Engineer to design and deliver scalable customer analytics data pipelines and platforms. The role focuses on analytics-ready infrastructure spanning batch and streaming, with an emphasis on data quality, performance, and close collaboration with analytics consumers and data scientists.

Location

Austin, TX (onsite)

Compensation

USD 149,200 - 249,000 per year

Key Responsibilities

Develop and automate large-scale, high-performance batch and/or streaming platform capabilities to support faster analytics
Design large-scale, complex application frameworks with strong runtime characteristics, including low latency, fault tolerance, and availability
Build and maintain custom frameworks aligned to engineering and analytics needs
Partner with analytics consumers and data scientists to create and improve constructs and address data engineering challenges at scale
Build data pipelines using Spark, Trino, lakehouse, or comparable distributed platform approaches, including Snowflake
Deploy inclusive data quality checks to support high-quality datasets
Promote high standards in software engineering practices for data infrastructure and pipelines built at scale
Apply structured problem-solving to break down ambiguous issues and propose impactful solutions
Apply Generative AI and Retrieval Augmented Generation (RAG) techniques to enhance data analytics capabilities
Maintain strong documentation and technical writing; use effective verbal and written communication
Demonstrate attention to detail in delivery

Required Qualifications

5+ years of relevant Data Engineering experience
Undergraduate degree in Computer Science, MIS, Engineering, Mathematics, or another quantitative discipline (required)
5+ years of experience in data engineering and ETL pipeline development
5+ years of experience with Big Data Technologies including Spark, Lakehouse, and Trino
Experience with Snowflake
Familiarity with RAG techniques working with LLMs
Experience creating and consuming Model Context Protocol (MCP) services

Preferred Qualifications

Experience with Kubernetes and Docker (preferred)
Additional alignment with the required areas above, including Spark, Lakehouse, Trino, RAG with LLMs, MCP services, and Snowflake

Technical Skills and Tools

Spark, Trino, Lakehouse, Snowflake
Kubernetes, Docker
Generative AI, Retrieval Augmented Generation (RAG), LLMs
Model Context Protocol (MCP)

Benefits

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition
Opportunity to become an Apple shareholder through Apple’s discretionary employee stock programs
Eligibility for discretionary restricted stock unit awards
Option to purchase Apple stock at a discount through the Employee Stock Purchase Plan
Discretionary bonuses or commission payments and relocation (if eligible)

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1d ago

Senior Analytics Engineer - Finance (R6185)

SHIELD AI San Diego, CA

San Diego, CA

1d ago

$120k - $190k/yr Full time Senior Analytics Engineering Artificial Intelligence

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Job Description

SHIELD AI is hiring a Senior Analytics Engineer (Finance) to design and deliver trusted data products for Finance and go-to-market stakeholders.

Key Responsibilities

Collaborate with Finance and GTM leaders to shape the analytics roadmap, prioritize high-impact products, and resolve competing requirements
Design and deliver governed datasets and semantic models that enable reporting, planning, scenario analysis, and strategic decision-making
Set modeling and metric standards across domains, applying judgment across architecture, data quality, and maintainability
Build conversational analytics and AI-enabled workflows, leveraging Databricks Genie with grounded, trusted business context
Use AI coding assistants to accelerate delivery and explore new capabilities while maintaining rigorous validation and quality
Own business-facing reconciliation and acceptance for outputs, partnering with data engineering for reliable delivery
Mentor engineers and Finance partners to strengthen technical practices and expand self-service capabilities

Requirements

Substantial experience in analytics engineering, BI engineering, or financial data modeling, with advanced SQL and a record of shipping production data products
Proven ability to lead ambiguous, cross-functional work from problem definition through adoption
Proficiency with AI coding assistants and sound judgment when reviewing generated work
Practical experience with AI-assisted analytics, ideally Databricks Genie; experience with Snowflake Cortex or comparable tools is welcome
Sound architectural judgment and disciplined development practices
Experience mentoring others and influencing senior stakeholders

Technology Stack

Databricks
Databricks Genie
SQL
Snowflake Cortex
Python

Benefits

Pay within the range listed + Bonus + Benefits + Equity
Pay within the range listed above + temporary benefits package (applicable after 60 days of employment)

Preferred Qualifications

Experience with Databricks, Python, semantic layers, or AI application development
Experience supporting FP&A, GTM, Strategic Finance, Accounting, or Program Finance
Familiarity with enterprise planning, financial controls, or high-growth business environments

Compensation

USD 120,000 - 190,000 per yearly

Location: San Diego, CA (onsite)

Employment Type: Full-time regular employee offer package (or temporary employee offer package as applicable)

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3d ago

Financial Data Analyst

Airbus Americas, Inc. Herndon, VA

Herndon, VA

3d ago

Contract Analytics Artificial Intelligence Business Analytics

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Job Description

The Financial Data Analyst will support business controlling activities across Airbus Services perimeters in the Americas. This temporary/contract role is based onsite in Herndon, VA and focuses on financial reporting, cost controlling, and advanced performance management analysis, including the integration of AI and automated analytics into planning, forecasting, and reporting.

Key Responsibilities

Plan the growth and development of the regional Services business within the Annual Operative Planning (AOP) cycle.
Prepare and deliver regional financial reviews, including deep-dive root-cause analysis on budget over/under-performance.
Convert raw variance information into actionable risk-mitigation or opportunity-exploitation strategies.
Customize and deploy AI Use-Case Assessments for Financial Planning, Budgeting, and Forecasting to transition toward predictive, machine-learning-driven rolling forecasts.
Support the adoption of AI-powered data retrieval systems to reduce manual data-gathering cycles and enable instant access to P&L, headcount, and KPI metrics.
Assist the Head of Services Finance with executive-level financial briefings, metrics, and dashboards for senior management across Airbus Americas and Global Services HQ.
Contribute to the expansion of the Direct “Revenue-to-Cash” Free Cash Flow (FCF) methodology.
Explore the use of predictive cash-forecasting algorithms to improve working capital predictability within regional collection pipelines.
Interface with European counterparts and Business Operations Analysts to provide and gather business and operational data for analysis and reporting.
Maintain visibility of offsite supplier financial purchasing obligations and current views of outsourced workload requirements to ensure forecast and expenditure accuracy.
Follow rules and guides to ensure compliance, including detailed knowledge of integrated AA processes across Procurement, Finance, and HR.
Partner with regional commercial and business development teams to model financial scenarios for new sales opportunities and addressable market share growth.
Provide financial modeling support for new industrial footprint business cases, including warehouse redesigns and regional distribution expansions.
Support financial steering of the “Hub-to-Regionalization” strategy by evaluating Gross Margin ROI to maximize regional supply chain margin velocity.
Support the regional finance transformation roadmap by identifying manual reporting roadblocks and collaborating with the digital team to replace legacy Excel workflows with automated tools such as Skywise-connected reports and AI-driven anomalies tracking.
Support Tariff controlling by tracking financial exposure to customs and generating data-driven simulations for classification optimization to protect regional competitiveness.

Required Qualifications

Bachelor’s degree (Master preferable) in Finance, Accounting, Business Analytics, or Computer Sciences.
At least 1 year of experience in Finance, Accounting, or Business/Data Analytics.
Knowledge of business intelligence software and common platforms including G-Suite (Sheets), Microsoft Office (Excel), and required accounting/finance concepts and software.
Ability to work effectively under pressure in a rapidly changing environment to meet deadlines.
Strong attention to detail with high standards for quality and accuracy.
Professional demeanor, collegial approach, and solutions-oriented mindset.
Strong organization, follow through, and execution.
Ability to prepare clear, precise reports and present business-oriented recommendations to site and project leadership.
Excellent written and verbal communication and presentation skills.
Fluency in English required; other languages (French, Spanish, German) are preferred.
Authorized to work in the US and eligible for employment in the US.

Preferred Qualifications

Business Analytics software experience, SAP, Tableau Desktop Certification, and Alteryx Core Certification are preferred.

Technology Tools

SAP, Excel, PowerPoint, Google Sheets, G-Suite
Tableau Desktop, Alteryx, Skywise
P&L, KPI, machine-learning-driven rolling forecasts, and generative AI

Location, Travel, and Employment Details

Location: Herndon, VA (onsite)
Job type: Agency / Temporary (contract)
Experience level: Entry Level
Remote type: Flexible
Travel required: 5% Domestic and International
Job family: Financial Expertise <JF-FI-FE>
End date: 10.16.2026

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3d ago

Vice President, Data Scientist (Open Finance)

Mastercard New York, NY

New York, NY

3d ago

$233k - $390k/yr Full time Artificial Intelligence Data Analytics Data Science

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Job Description

Mastercard’s Open Finance organization is expanding its advanced data science and AI capabilities, and this role sits at the center of that growth. As a Vice President, Data Scientist, you will set and drive the strategy for production-grade machine learning and generative AI that turns Open Finance data into financial insights, better decisioning, and risk reduction.

Strategy and execution

Define and execute the Data Science strategy for Open Finance aligned with business and product objectives.
Identify opportunities where advanced analytics, machine learning, and AI can create differentiated products, improve decisioning, reduce risk, and drive growth.
Establish a scalable roadmap that spans foundational intelligence capabilities and application-specific models and solutions.
Evaluate and adopt advances in machine learning, generative AI, foundation models, LLMs, deep learning, NLP, and other emerging technologies when they support meaningful business value.
Ensure models are accurate, scalable, explainable where required, resilient, and continuously improved as performance changes and market conditions evolve.
Partner with Product, Engineering, Sales, Risk, Marketing, and business leaders to translate customer needs into scalable data science solutions.
Work directly with Sales and customers to understand market requirements, demonstrate the value of AI-powered capabilities, and support strategic opportunities.
Collaborate with Engineering to establish scalable production architectures, MLOps practices, model deployment, monitoring, and operational excellence.
Serve as a senior thought leader and trusted advisor to executives and key stakeholders on the application of AI and data science to Open Finance.

Production AI capabilities

Lead the development and continuous improvement of production-grade models and AI capabilities for transaction categorization.
Lead the development and continuous improvement of production-grade models and AI capabilities for entity extraction, resolution, and enrichment.
Lead the development and continuous improvement of production-grade models and AI capabilities for income and revenue classification.
Lead the development and continuous improvement of production-grade models and AI capabilities for fraud detection and risk scoring.
Lead the development and continuous improvement of production-grade models and AI capabilities for credit risk and credit decisioning.
Lead the development and continuous improvement of production-grade models and AI capabilities for spend propensity and customer insights.
Lead the development and continuous improvement of production-grade models and AI capabilities for personalization and predictive analytics.
Lead the development of new AI-powered capabilities that leverage Open Finance and other proprietary data assets.

Team leadership and governance

Build, lead, and develop a high-performing global Data Science organization.
Establish the organizational structure, technical standards, operating model, and career development framework for the team.
Attract, retain, and develop world-class data science and AI talent.
Foster a culture of innovation, experimentation, scientific rigor, collaboration, and accountability for business outcomes.
Establish strong partnerships between Data Science, Product, and Engineering, with clear ownership and shared objectives.
Set rigorous standards for model development, validation, monitoring, explainability, and performance.
Ensure solutions meet applicable regulatory, privacy, security, fairness, and responsible AI requirements.
Partner with Risk, Legal, Compliance, and other control functions to ensure appropriate governance for AI and machine learning solutions.

Security and compliance

Abide by Mastercard’s security policies and practices.
Ensure the confidentiality and integrity of the information being accessed.
Report any suspected information security violation or breach.
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Requirements

Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Engineering, Data Science, or a related quantitative discipline; advanced degree preferred or equivalent work experience.
Previous experience in data science, machine learning, AI, analytics, or a related field, with significant leadership experience.
Proven experience leading and scaling large, high-performing Data Science or AI organizations.
Deep understanding of modern machine learning and AI techniques and their application to real-world business problems.
Experience taking machine learning models from research and experimentation through production, commercialization, and ongoing optimization.
Background in financial services, fintech, payments, Open Banking/Open Finance, lending, fraud, or risk preferred.
Strong understanding of modern data and AI platforms, MLOps, cloud technologies, and production machine learning environments.
Strategic and pragmatic approach to balance long-term AI innovation with near-term execution.

Technologies

MLOps
Cloud technologies
LLMs
NLP
Deep learning
Generative AI
Foundation models
Machine learning
AI

Compensation

New York City, New York: $244,000 - $390,000 USD per year
Purchase, New York: $233,000 - $374,000 USD per year

Benefits

Insurance (including medical, prescription drug, dental, vision, disability, life insurance)
Flexible spending account and health savings account
Paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
80 hours of Paid Sick and Safe Time
25 days of vacation time and 5 personal days, pro-rated based on date of hire
10 annual paid U.S. observed holidays
401k with a best-in-class company match
Deferred compensation for eligible roles
Fitness reimbursement or on-site fitness facilities
Eligibility for tuition reimbursement
56 hours of Paid Sick and Safe Time (interns)
Jury duty leave (interns)
On-site fitness facilities in some locations (interns)

Location: New York, NY (onsite)

Salary: USD 233,000 - 390,000 per year

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8d ago

Senior Associate, Data Scientist - Applied AI (Financial Services)

Capital One Plano, TX

Plano, TX

8d ago

$123k - $141k/yr Full time Agentic Ai Ai Agent Artificial Intelligence

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Job Description

Capital One is seeking a Senior Associate Data Scientist focused on Applied AI for Financial Services in Plano, TX (onsite).

Responsibilities

Work with a cross-functional group of data scientists, machine learning engineers, and product managers to deliver Generative AI solutions customers will use.
Use a broad technology stack to build Multi-Agent systems and advanced RAG pipelines over large volumes of numeric and textual data.
Build and deploy Generative AI models across development stages, including context engineering, fine-tuning, evaluation, validation, and deployment.
Apply strong communication skills to translate technical work into clear business goals.

Requirements

Currently has, or is in the process of obtaining one of the following with the expectation the degree will be completed on or before the scheduled start date:
- Bachelor’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related quantitative field) plus 2 years of experience performing data analytics.
- Master’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, or related quantitative field).

Technologies

Python, PyTorch, LangChain, AWS, Spark, Vector Databases
SQL, Scala, R

Preferred Qualifications

Master’s degree in a STEM field (Science, Technology, Engineering, or Mathematics) or PhD in a STEM field.
At least 2 years of experience in Python, Scala, or R.
At least 2 years of experience with machine learning.
At least 2 years of experience with SQL.
At least 1 year of experience in AI, Information Retrieval, Deep Learning, or NLP.

Ideal Candidate Attributes

Innovative: continually research and evaluate emerging technologies and stay current on state-of-the-art methods, technologies, and applications.
Creative: bring structure to large, undefined problems and share new ideas.
Technical: comfortable using open-source languages and developing data science solutions using open-source tools and cloud computing platforms.
Statistically-minded: build, validate, and backtest models; interpret confusion matrices or ROC curves; experience with clustering, classification, sentiment analysis, time series, and deep learning.

Benefits

Performance-based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
Comprehensive, competitive, and inclusive health, financial, and other benefits to support total well-being.

Compensation (by location)

Plano, TX: $123,300 - $140,700 per year
McLean, VA: $135,600 - $154,800 per year (for Sr Assoc, Data Science)
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the annualized salary offered at hire will be reflected in the offer letter.

Location and Entity Notes

Location: Plano, TX (onsite)
Capital One Financial includes multiple entities: positions in Canada are for Capital One Canada; positions in the United Kingdom are for Capital One Europe; positions in the Philippines are for Capital One Philippines Service Corp. (COPSSC).

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12d ago

Financial Data Analyst

Lynch Consultants, LLC Dayton, OH

Dayton, OH

12d ago

$57 - $61/hr Full time Artificial Intelligence Business Analytics Business Intelligence

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Job Description

Lynch Consultants, LLC supports mission-focused work at Wright-Patterson Air Force Base in Dayton, Ohio, helping advance financial improvement and audit remediation efforts for the Department of the Air Force (DAF) Financial Improvement and Audit Remediation (FIAR) initiative. In this onsite role, you’ll help operationalize financial data automation, advanced analytics, and AI-enabled support to strengthen audit readiness.

What you’ll do

Support integration, transformation, validation, and analysis of Air Force financial and operational data from multiple sources.
Develop and maintain data analytics solutions, reports, dashboards, and visualizations aligned to FIAR and FM modernization objectives.
Create data cleansing processes, scripts, and repeatable workflows to improve data quality and reduce manual effort.
Assist with automation use cases that connect FM data sources and streamline business processes.
Support AI- and analytics-enabled solutions that improve audit readiness, traceability, and decision support.
Apply OCR capabilities and related technologies to extract and structure data from documents and other non-standard inputs.
Support the use of large language models and emerging AI/ML tools in operational environments, consistent with client direction and security constraints.
Prepare and present analytic findings, recommendations, and solution concepts to Government and contractor stakeholders, coordinating across technical and functional teams to support scalable, repeatable implementations.

Required qualifications

Bachelor’s degree from an accredited institution.
5+ years of relevant experience in data analytics, database support, reporting, automation, or related technical or business solution delivery.
Active Secret Clearance with the ability to maintain eligibility.
Intermediate Python skills, including experience manipulating, cleansing, analyzing, or validating datasets.
Intermediate SQL skills, including experience querying, joining, transforming, and analyzing data from structured sources.
Intermediate Databricks experience or comparable work within modern enterprise data and analytics platforms.
Intermediate accounting knowledge, including the ability to understand and analyze financial transactions, balances, and related financial data.
Intermediate Substantive Analytical Procedures, including the ability to develop and execute data-driven procedures in support of financial statement audit or audit readiness activities.

Tools and technologies you’ll work with

Python, SQL, Databricks
MS Power Application Automation, Power BI, Tableau
OCR
Large language models and AI/ML tools

Compensation and work schedule

Location: Dayton, OH (onsite), 5-days per week at Wright-Patterson Air Force Base.

Pay rate: USD $57–$61 per hour (approximately $107,000–$114,000 per year, commensurate with experience).

Benefits

Employer-supported 401(k)
World-class health benefits
Paid vacation and holidays
Performance and referral bonuses
Profit-sharing bonus available to eligible associates

Preferred qualifications

Experience supporting Department of Defense, Department of the Air Force, or Federal financial management clients.
Familiarity with the Operational Air Force Financial Data Structure.
Familiarity with the Operational Air Force Data Dictionary.
Experience supporting FIAR, audit readiness, internal controls, or financial statement audit response efforts.
Experience with MS Power Application Automation.
Experience with Power BI, Tableau, or similar visualization platforms.
Familiarity with cloud-enabled analytics, workflow automation, and enterprise data environments supporting financial operations.
Experience working across functional and technical teams to operationalize analytic and automation capabilities.

Why join Lynch Consultants, LLC?

Competitive total compensation: Starting salaries are competitive, with a total package that goes further.
Flexible career architecture: Support for growth across moving up, moving across, or staying at your level while taking on new challenges.
Unlimited promotion opportunities: No cap on advancement at Lynch.
Your career, your choice: Support for different paths, including partnership goals, service line exploration, or deepening craft at your current level.

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13d ago

Financial Crimes - Senior Data Scientist

KeyBank National Association Cleveland, OH

Cleveland, OH

13d ago

$94k - $175k/yr Full time Senior Analytics Artificial Intelligence

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Job Description

KeyBank National Association is hiring a Financial Crimes Senior Data Scientist to support AML/BSA/OFAC analytics and quantitative model work on a hybrid basis.

Responsibilities

Under manager oversight, perform quantitative work including model development and ad hoc analytics to meet financial crime compliance needs in AML/BSA/OFAC
Research, compile, and evaluate large datasets to assess data quality and determine suitability for model building
Develop and maintain internal models; test and configure vendor solutions to support conceptually sound design, correct implementation, and acceptable model performance
Document model development processes and outcomes; support model validation and review
Use innovative techniques to improve model effectiveness and efficiency, including reducing false positives
Build technical skills and business knowledge proactively; collaborate effectively with compliance, technology, and risk partners

Requirements

Master’s or Ph.D. degree in statistics, mathematics, economics, computer science, data sciences, predictive modeling, or other quantitative disciplines
At least 3 years of relevant experience (preferred experience: AML/BSA, OFAC, or fraud modeling/analytics)
If holding a bachelor’s degree: 4 years of relevant experience
Strong expertise in both traditional and Machine Learning (ML) / Artificial Intelligence (AI) modeling practices and solutions
Hands-on coding experience with SAS and/or Python
Knowledge of traditional databases, cloud-based computing, and distributed computing
Knowledge of financial crime regulatory requirements, technology, and data analysis best practices
Excellent verbal, written, and visual communication skills, including translating technical findings to non-technical audiences
Location requirement: located in or willing to relocate to Cleveland, OH or Buffalo, NY

Technologies

SAS
Python
Machine Learning (ML)
Artificial Intelligence (AI)

Compensation and Benefits

Base salary range: $94,000.00 - $175,000.00 annually
Placement within the pay range may vary based on factors including skills, experience, and geographic location
Incentive compensation eligibility may include production, commission, and/or discretionary incentives
Health insurance available (benefits list referenced; specific benefits not enumerated in the provided text)
Benefits eligibility details: click here for the list of eligible benefits
Workplace approach supports in-office presence with flexible options where roles can be performed effectively in a mobile environment

Location

Cleveland, OH (hybrid)
4910 Tiedeman Road, Brooklyn Ohio

Equal Opportunity Employer

KeyCorp is an Equal Opportunity Employer committed to an inclusive culture. All qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status, or any other characteristic protected by law.

Reasonable Accommodations

Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.