1

Manager Machine Learning Finance Jobs in Arizona

Finance Analytics & AI Senior Consultant

Tempe, AZ · On-site

$111K/yr

Experience deploying machine learning or generative and agentic AI solutions into production ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

One or more certifications in artificial intelligence, machine learning, Amazon Web Services ... Work you'll do As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work ...

... management process, from learning how and when a product is sold, what happens when it is received ... Gain experience and exposure to hand sewing and machine sewing projects. * Experience the art of ...

Sr. Analyst, Data Science

Tempe, AZ · On-site

$85K - $143K/yr

Machine Learning & Modeling * Build, validate, and deploy supervised and unsupervised machine ... LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in ...

This role leverages predictive modeling, experimentation, machine learning, and workforce analytics ... Management functions. * Partner with HR, Finance, IT, Payroll, and business leaders to gather ...

This role leverages predictive modeling, experimentation, machine learning, and workforce analytics ... Management functions. * Partner with HR, Finance, IT, Payroll, and business leaders to gather ...

This role leverages predictive modeling, experimentation, machine learning, and workforce analytics ... Management functions. * Partner with HR, Finance, IT, Payroll, and business leaders to gather ...

By mentoring a team of data scientists and machine learning engineers, you'll help turn ambitious ... HR, finance, operations, etc. * Understanding of AI security and compliance frameworks.

next page

Showing results 1-20

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:
Sr. Director - AI, Machine Learning & Deep Learni

Sr. Director - AI, Machine Learning & Deep Learni

TEEMA

Tempe, AZ • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Title: Sr. Director – AI, Machine Learning & Deep Learning
Job ID: 85022
Location: Tempe, Arizona

What you will be doing:
  • Strategic Leadership: Define and execute the AI roadmap aligned with business objectives for OSAT manufacturing.
  • Solution Development: Lead the design and deployment of ML/DL models for predictive maintenance, defect detection, process optimization, and yield improvement.
  • Data Platform Integration: Collaborate with data engineering teams to build and maintain unified data platforms, ensuring seamless integration of AI solutions.
  • Technology Evaluation: Stay ahead of emerging AI technologies and assess their applicability to manufacturing environments.
  • Cross-Functional Collaboration: Work closely with operations, engineering, and IT teams to ensure AI solutions deliver measurable business impact.
  • Team Building: Recruit, mentor, and manage a high-performing AI team.
What you must have:
  • Education: Master’s or Ph.D. in Computer Science, Data Science, Electrical Engineering, or related field. 12+ years in AI/ML, with at least 5 years in leadership roles.
  • Proven track record of implementing AI solutions in manufacturing or industrial settings.
  • Expertise in ML/DL frameworks (TensorFlow, PyTorch, etc.).
  • Strong knowledge of data engineering and unified data platforms.
  • Working knowledge of Microsoft Fabric or similar technologies is a plus.
  • Excellent communication, strategic thinking, and stakeholder management abilities.

Thank you for your interest in this opportunity. If you are selected to move forward in the process, we will contact you directly. If you do not hear from us, we encourage you to continue visiting our website for other roles that may be a good fit.

For more information about TEEMA and to consider other career opportunities, please visit our website at www.teemagroup.com

#J-18808-Ljbffr

Teema logo

About Teema

Sourced by ZipRecruiter

TEEMA is an award-winning, industry-leading recruitment agency dedicated to building meaningful relationships across North America. We achieve this time after time by consistently sourcing, screening, managing and securing top talent tailored to employers’ specific needs. The team that makes this happen consists of hundreds of experienced professional recruiters backed by exceptional, tenured leadership and back-office support. No matter how unique or challenging your hiring needs may be or how misunderstood or undervalued your in-demand skills may be in your current role, we have you covered. Our primary objective is to provide an exceptional recruitment experience for our clients and candidates and an ecosystem that empowers our team to thrive.

Industry

Recruiting and staffing services

Company size

201 - 500 Employees

Headquarters location

Litchfield Park, AZ, US

Social media