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Manager Machine Learning Finance Jobs in Arizona

Deploy, manage, and monitor machine learning models on AWS using services such as Amazon SageMaker, AWS Lambda, Amazon ECS, Amazon EKS, and API Gateway. Build scalable model serving solutions for ...

... both financial and learning inputs/outputs. - Uses available data and tools to analyze and ... managing an operation leading process improvements through Lean process, Kaizen and Six Sigma ...

With more than 130 years of financial experience and over 22,000 partners, we serve the world ... Deep experience with generative AI, machine learning, and enterprisegrade AI/ML systems in ...

AI/ML Engineer II

Phoenix, AZ · On-site +1

$113K - $136K/yr

Work with cross-functional team to contribute to machine learning projects throughout the machine ... Configure, manage, and set up AI/ML infrastructure components in cloud/on-prem environments for ...

AI/ML Engineer II

Phoenix, AZ · On-site

$116K - $139K/yr

Work with cross-functional team to contribute to machine learning projects throughout the machine ... Configure, manage, and set up AI/ML infrastructure components in cloud/on-prem environments for ...

Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

AI ML Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Ability to manage multiple projects and prioritize effectively * Curiosity and continuous learning ... machine learning to solve a business problem in the insurance or financial domain * How do you ...

AI Solutions Architect

Tempe, AZ · On-site

$60.25 - $79.50/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements * Developing account growth strategies, managing ...

Position Summary The Learning Manager serves as a Department Leader for the Learning and ... financial goals, and operational performance. Outstanding presentation and facilitation skills ...

Position Summary The Learning Manager serves as a Department Leader for the Learning and ... priorities, financial goals, and operational performance. • Outstanding presentation and ...

Learning Manager - Arizona

Phoenix, AZ · On-site

$68K - $90K/yr

Position Summary The Learning Manager serves as a Department Leader for the Learning and ... priorities, financial goals, and operational performance. • Outstanding presentation and ...

Today's chief financial officers (CFOs) and supply chain executives are being asked to improve ... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ...

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Manager Machine Learning Finance information

What does a Manager of Machine Learning in Finance do?

A Manager of Machine Learning in Finance oversees teams that develop and implement machine learning models to solve financial problems, such as risk assessment, fraud detection, and algorithmic trading. They coordinate with data scientists, engineers, and business stakeholders to ensure models meet regulatory standards and align with company goals. Additionally, they are responsible for project management, mentoring team members, and staying updated with advancements in both finance and artificial intelligence.

What are the key skills and qualifications needed to thrive as a Manager of Machine Learning in Finance, and why are they important?

To thrive as a Manager of Machine Learning in Finance, you need strong expertise in machine learning, statistics, and financial analysis, typically supported by a relevant advanced degree and experience in both data science and finance. Familiarity with programming languages like Python or R, cloud platforms, and machine learning frameworks such as TensorFlow or Scikit-learn is essential, along with knowledge of regulatory compliance systems. Exceptional leadership, strategic thinking, and communication skills set top candidates apart by enabling effective team management and cross-functional collaboration. These skills and qualities are crucial to drive innovative solutions, ensure regulatory adherence, and deliver business value in a complex financial environment.

What is the difference between Manager Machine Learning Finance vs Data Scientist Finance?

AspectManager Machine Learning FinanceData Scientist Finance
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or Finance; certifications in machine learning or data analysisBachelor's or Master's in Data Science, Statistics, or related fields; often includes certifications in data analysis or programming
Work EnvironmentLeads teams, manages projects, collaborates with stakeholders in financeAnalyzes data, develops models, supports decision-making in finance teams
Employer & Industry UsageFinancial institutions, hedge funds, investment firmsFinancial firms, banks, fintech companies

The Manager Machine Learning Finance oversees teams and projects applying machine learning to finance problems, focusing on leadership and strategy. In contrast, Data Scientists in finance primarily analyze data and develop models to support financial decisions. Both roles require strong technical skills, but the manager role emphasizes team management and project oversight.

How does a Manager of Machine Learning in Finance typically collaborate with cross-functional teams?

A Manager of Machine Learning in Finance often works closely with data scientists, software engineers, financial analysts, and business stakeholders. They are responsible for translating business problems into machine learning solutions and ensuring models meet both technical and regulatory requirements. Regular meetings and clear communication are essential, as the manager must align team efforts with organizational goals, facilitate knowledge sharing, and integrate model outputs into financial decision-making processes. Collaboration also involves coordinating with IT for data infrastructure and with compliance teams to uphold data privacy standards.
What are the most commonly searched types of Machine Learning Finance jobs in Arizona? The most popular types of Machine Learning Finance jobs in Arizona are:
What cities in Arizona are hiring for Manager Machine Learning Finance jobs? Cities in Arizona with the most Manager Machine Learning Finance job openings:
Senior Financial Analyst, AI Finance Transformation

Senior Financial Analyst, AI Finance Transformation

Dutch Bros LLC

Tempe, AZ • On-site, Remote

$83K - $103K/yr

Full-time

Re-posted 9 days ago


Dutch Bros rating

7.0

Company rating: 7.0 out of 10

Based on 408 frontline employees who took The Breakroom Quiz

6th of 103 rated fast food restaurants


Job description

It's fun to work in a company where people truly believe in what they are doing. At Dutch Bros Coffee, we are more than just a coffee company. We are a fun-loving, mind-blowing company that makes a difference one cup at a time.

Position Overview:
Dutch Bros is launching an AI-driven Finance Transformation initiative, and we are hiring our foundational team members. In this role, you will blend your FP&A or strategic finance expertise with a passion for AI and automation to modernize how our Finance team operates. You will spend your days experimenting with cutting-edge tools (e.g. Python, large language models like Claude, AI coding assistants like Cursor, etc.), prototyping solutions, and automating processes. Your work will directly support Finance leadership (including our Senior Finance Manager for Real Estate) by exploring what is possible with AI in finance. This is not a typical forecasting or close role, and it is not an academic AI research position. It is an opportunity to build and iterate on real-world finance use cases, from automating reports and decks to developing mini-apps and AI copilots for our team. We encourage experimentation: not every idea has to reach production, but each will drive learning and progress towards a "Finance AI Incubator" capability within Dutch Bros.
Job Qualifications:

  • Finance Background: 4+ years of experience in FP&A, strategic finance, or a related analytical finance role. Strong understanding of financial statements, key metrics (revenue, margins, EBITDA), and typical FP&A workflows.

  • Analytical & Technical Aptitude: Advanced Excel skills and proven analytical prowess. Exposure to Python and SQL (through work projects or personal experimentation) and genuine enthusiasm to become more proficient. You've dabbled with modern AI/analytics tools (e.g., tried out Claude Code/Cowork for analysis or used a tool like Power BI/Excel's Power Query) and are excited to deepen those skills.

  • Curiosity & Learning Mindset: Highly curious and coachable, with a self-starter attitude toward learning new technologies. Comfortable exploring unfamiliar tools, asking questions, and iterating solutions. Not afraid to admit what you do not know and driven to figure it out.

  • Communication & Collaboration: Ability to communicate complex ideas in simple terms and build trust across teams. You can take a request from a finance leader and run with it, with a proven ability to regularly provide updates.

Preferred Qualifications:

  • Automation Experience: Hands-on experience automating a process or building a tool in a prior role for instance, writing a Python script to streamline a report, or creating a dynamic dashboard.

  • Education & Continuous Learning: Bachelor's degree in Ffinance, Economics, Data Science, or related field. Additional coursework or certifications in Data Analytics, AI, or Machine Learning are a bonus. Active interest in the data/AI community (e.g., online courses, hackathons, forums) shows you stay curious and engaged.

  • AI/LLM Familiarity: Experience with large language model tools or AI assistants, and familiarity with AI coding copilots or IDEs. Expert-level knowledge is not required, but any prior experimentation or project in this area is a big plus.

  • Industry & Systems Knowledge: Industry experience with Retail or Consumer Goods finance is helpful. Familiarity with data environments (e.g., cloud databases) is a plus.

Location Requirement:
This role is located in Tempe, Arizona. This position is required to be in office 4 days per week (Mon-Thurs); Fridays are optional remote work days.
Key Result Areas (KRAs):

  • Prototype AI Use Cases: Experiment with AI/LLM tools (e.g., Copilot or Claude Code/Cowork, AI copilots like Cursor for coding assistance) to develop proof-of-concept solutions. For example, build a draft "financial analysis assistant" that can answer ad hoc questions, or a model that flags unusual expense patterns. Iterate on prototypes, knowing some will succeed, some will fail, both outcomes are learning opportunities.

  • Automate Finance Workflows: Identify and streamline manual finance processes. Use Python, SQL, or AI/LLM tools to create scripts or bots that auto-generate reports and presentations, unlocking more time for interpretation and strategic partnership.

  • Develop Internal Tools & Dashboards: Build lightweight tools or dashboards that empower the FP&A team. This could mean creating an internal web app for self-service data pulls, designing a dashboard for real-time metrics, or enhancing Excel models with Python-driven automation. Always ensure the tools are user-friendly and add real value to finance partners.

  • Data Leverage & Analysis: Ensure finance data is accessible and reliable by integrating data sources (Snowflake, D365, ERP systems) into analytical models. Conduct ad hoc analysis using advanced analytics (e.g., statistical or AI techniques) to support real-time business questions. Perform ad hoc analyses combining your finance acumen with data techniques (like scenario simulations or variance explanations using advanced analytics) to support quick decision-making.

  • Collaboration & Knowledge Sharing: Work side-by-side with finance leaders to understand their needs and pain points, translating them into technical solutions or prototypes. Document your processes and results and explain complex methods in plain language to ensure adoption. Foster a learning culture by showing colleagues what is possible with new tools, without overwhelming them. You will effectively be a tech translator and coach within finance, as well as a builder.

Skills:

  • Financial Analysis

  • Data Analysis and Interpretation

  • AI Processes & Workflow

  • Financial Modeling

  • Business Acumen

  • Collaboration


Physical Requirements:

  • In-Office Environment:Must be able to work in a busy, crowded, and loud office with frequent distractions and interruptions

  • Must be able to collaborate in-person with occasional impromptu in-person meetings

  • Office Conditions:Adaptability to typical office conditions, which may include exposure to air conditioning, heating, artificial lighting, and varying noise levels

  • Mobility: Ability to sit, stand, reach, twist, stretch, and work at a desk for long stretches. Must be able to occasionally move or lift office items up to 25 pounds

  • Hearing Requirements:Hearing must be sufficient or correctable to ensure clear understanding of spoken information, including participating in virtual meetings and phone calls. Use of hearing aids or other assistive devices is acceptable if needed.

  • Reading and Writing Proficiency:Ability to read and write in English is essential for processing documents, drafting reports, and following up on necessary actions. Proficiency in written communication is required to handle job-related tasks effectively.

  • Vision Requirements:Vision must be adequate or correctable to perform essential job duties, such as reading documents on a computer screen and using other visual tools. Use of corrective lenses or other measures to meet visual requirements is expected if needed.

  • Technology Proficiency:Must be proficient in operating a computer and other office productivity tools such as printers, scanners, and collaboration software.

  • Effective Communication:Must possess strong verbal and written communication skills to interact effectively with team members, clients, and other stakeholders via email, video conferencing, and other in office communication tools.

Compensation:

DOE

If you like wild growth and working in a unique and fun environment, surrounded by positive community, you'll enjoy your career with us!


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