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 ...
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 ...
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 ...
Oracle Cloud Finance Consultant - Senior Manager
Phoenix, AZ · On-site
$124K - $280K/yr
Within our Finance practice, you will guide clients in implementing Oracle solutions to address ... RPA, Machine Learning, and Analytics. As a Senior Manager, you will lead large projects and ...
Oracle Cloud Finance Consultant - Senior Manager
Phoenix, AZ · On-site
$124K - $280K/yr
Within our Finance practice, you will guide clients in implementing Oracle solutions to address ... RPA, Machine Learning, and Analytics. As a Senior Manager, you will lead large projects and ...
... 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 ...
... 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 ...
Data Scientist
Gilbert, AZ · On-site
Design, develop, and evaluate machine learning, statistical, and predictive models to solve complex ... Experience within financial services, mortgage lending, or other highly regulated industries ...
Quick apply
Data Scientist
Gilbert, AZ · On-site
Design, develop, and evaluate machine learning, statistical, and predictive models to solve complex ... Experience within financial services, mortgage lending, or other highly regulated industries ...
The manager for Applied AI and Machine Learning for Hyper-Personalization champions the use of AI, data science, machine learning, and advanced analytics in enabling hyper-personalization for ...
The manager for Applied AI and Machine Learning for Hyper-Personalization champions the use of AI, data science, machine learning, and advanced analytics in enabling hyper-personalization for ...
This role leverages predictive modeling, experimentation, machine learning, and workforce analytics ... Management functions. * Partner with HR, Finance, IT, Payroll, and business leaders to gather ...
Quick apply
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 ...
People Data Scientist
Tempe, AZ · On-site
This role leverages predictive modeling, experimentation, machine learning, and workforce analytics ... Management functions. * Partner with HR, Finance, IT, Payroll, and business leaders to gather ...
People Data Scientist
Tempe, AZ · On-site
This role leverages predictive modeling, experimentation, machine learning, and workforce analytics ... Management functions. * Partner with HR, Finance, IT, Payroll, and business leaders to gather ...
Build, test, and deploy machine learning and statistical models that address business needs * Track ... financial services, covering most of the following: data mining, predictive modeling, machine ...
Build, test, and deploy machine learning and statistical models that address business needs * Track ... financial services, covering most of the following: data mining, predictive modeling, machine ...
... Machine Learning R Forecasting Analytics Tableau Power BI Databases Data Analysis Computer Science Finance Python SQL Marketing Business Science Sales Management
... Machine Learning R Forecasting Analytics Tableau Power BI Databases Data Analysis Computer Science Finance Python SQL Marketing Business Science Sales Management
AI/ML Computational Science Manager
Scottsdale, AZ · On-site
$94K - $293K/yr
As an Artificial Intelligence and Machine Learning Computational Science professional, you will ... Experience managing and leading Gen AI/Agentic delivery across enterprises * Deep industry ...
AI/ML Computational Science Manager
Scottsdale, AZ · On-site
$94K - $293K/yr
As an Artificial Intelligence and Machine Learning Computational Science professional, you will ... Experience managing and leading Gen AI/Agentic delivery across enterprises * Deep industry ...
Responsible for ensuring machine learning jobs are running in production and provide integration to ... financial services, covering most of the following: data mining, predictive modeling, machine ...
Responsible for ensuring machine learning jobs are running in production and provide integration to ... financial services, covering most of the following: data mining, predictive modeling, machine ...
... Finance and IT. • Establish organizational standards for model governance, documentation ... leaders and managers. • Proven success deploying machine learning and advanced analytics ...
... Finance and IT. • Establish organizational standards for model governance, documentation ... leaders and managers. • Proven success deploying machine learning and advanced analytics ...
Digital Finance Transformation - ERP Modernization: Senior Associate - Private Equity Performance Im
Phoenix, AZ · On-site
$100K - $170K/yr
Advanced Python programming experience, including familiarity with machine learning libraries (e.g ... management, and three-statement modeling. * Exceptional communication and collaboration skills ...
Digital Finance Transformation - ERP Modernization: Senior Associate - Private Equity Performance Im
Phoenix, AZ · On-site
$100K - $170K/yr
Advanced Python programming experience, including familiarity with machine learning libraries (e.g ... management, and three-statement modeling. * Exceptional communication and collaboration skills ...
... merchandising, Finance and IT. Governance, Standards & Responsible Data Use * Establish ... managers. * Proven success deploying machine learning and advanced analytics solutions at scale.
... merchandising, Finance and IT. Governance, Standards & Responsible Data Use * Establish ... managers. * Proven success deploying machine learning and advanced analytics solutions at scale.
Senior Director Data Science
Phoenix, AZ · On-site
... merchandising, Finance and IT. Governance, Standards & Responsible Data Use * Establish ... managers. * Proven success deploying machine learning and advanced analytics solutions at scale.
Senior Director Data Science
Phoenix, AZ · On-site
... merchandising, Finance and IT. Governance, Standards & Responsible Data Use * Establish ... managers. * Proven success deploying machine learning and advanced analytics solutions at scale.
... merchandising, Finance and IT. Governance, Standards & Responsible Data Use * Establish ... managers. * Proven success deploying machine learning and advanced analytics solutions at scale.
... merchandising, Finance and IT. Governance, Standards & Responsible Data Use * Establish ... managers. * Proven success deploying machine learning and advanced analytics solutions at scale.
Digital Finance Transformation - ERP Modernization: Senior Associate - Private Equity Performance Im
$100K - $170K/yr
Advanced Python programming experience, including familiarity with machine learning libraries (e.g ... management, and three-statement modeling. * Exceptional communication and collaboration skills ...
Digital Finance Transformation - ERP Modernization: Senior Associate - Private Equity Performance Im
$100K - $170K/yr
Advanced Python programming experience, including familiarity with machine learning libraries (e.g ... management, and three-statement modeling. * Exceptional communication and collaboration skills ...
... merchandising, Finance and IT. Governance, Standards & Responsible Data Use * Establish ... managers. * Proven success deploying machine learning and advanced analytics solutions at scale.
... merchandising, Finance and IT. Governance, Standards & Responsible Data Use * Establish ... managers. * Proven success deploying machine learning and advanced analytics solutions at scale.
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?
| Aspect | Manager Machine Learning Finance | Data Scientist Finance |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Computer Science, Data Science, or Finance; certifications in machine learning or data analysis | Bachelor's or Master's in Data Science, Statistics, or related fields; often includes certifications in data analysis or programming |
| Work Environment | Leads teams, manages projects, collaborates with stakeholders in finance | Analyzes data, develops models, supports decision-making in finance teams |
| Employer & Industry Usage | Financial institutions, hedge funds, investment firms | Financial 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.
Can manager machine learning finance be used in finance?
A Manager of Machine Learning in Finance oversees the development and implementation of machine learning models to improve financial analysis, risk management, and trading strategies. This role requires strong programming skills, knowledge of financial markets, and experience with tools like Python, R, or specialized ML platforms. It is widely used in finance to automate processes, detect fraud, and enhance decision-making.
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.
Is manager machine learning finance a high paying job?
Manager roles in machine learning within finance are typically high-paying due to the specialized skills required, such as expertise in data science, programming, and financial modeling. Salaries often reflect experience, location, and the complexity of projects, with many positions offering competitive compensation packages. Certifications and advanced degrees can also influence earning potential.
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:
Deloitte rating
8.2
Based on 92 frontline employees who took The Breakroom Quiz
44th of 150 rated financial services
Job description
In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.
Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.
Recruiting for this role ends on 09/14/2026.
Work you'll do
As a Finance Analytics & AI Senior Consultant, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Senior Consultants are expected to contribute to the firm's growth and development in a variety of ways.
- Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities
- Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases such as planning, budgeting, forecasting, profitability, close, and consolidations
- Analyze business, functional, and technical requirements and translate them into solution designs, workflows, and implementation plans
- Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL), and cloud-based platforms
- Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder communications
- Identify delivery risks, track dependencies, and support project execution across cross-functional teams
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.
Within our Finance Transformation offering, the Business Finance team helps unlock strategic value through enhanced financial planning, forecasting, and analytics capabilities. By combining next-generation processes, scalable data platforms, and AI, we deliver insights that are accurate, timely, and actionable.
Qualifications
Required:
- Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics
- 4+ years of experience delivering analytics, machine learning, automation, data, or generative and agentic AI solutions
- Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments
- Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of the following model platforms: GPT-4o, Claude, or Llama; and one or more of the following application platforms: ChatGPT, Claude, or Gemini
- Experience working with finance data and use cases related to planning, budgeting, forecasting, close, profitability, or cost allocations
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics, or Statistics
- Experience deploying machine learning or generative and agentic AI solutions into production environments
- Experience with Databricks, Apache Spark, Snowflake, TensorFlow, PyTorch, or scikit-learn
- Experience with finance platforms such as SAP, Oracle, Anaplan, OneStream, or Workday
- Experience with Tableau or Microsoft Power BI
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200-$229,100.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Qualifications:In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.
Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.
Recruiting for this role ends on 09/14/2026.
Work you'll do
As a Finance Analytics & AI Senior Consultant, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Senior Consultants are expected to contribute to the firm's growth and development in a variety of ways.
- Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities
- Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases such as planning, budgeting, forecasting, profitability, close, and consolidations
- Analyze business, functional, and technical requirements and translate them into solution designs, workflows, and implementation plans
- Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL), and cloud-based platforms
- Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder communications
- Identify delivery risks, track dependencies, and support project execution across cross-functional teams
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.
Within our Finance Transformation offering, the Business Finance team helps unlock strategic value through enhanced financial planning, forecasting, and analytics capabilities. By combining next-generation processes, scalable data platforms, and AI, we deliver insights that are accurate, timely, and actionable.
Qualifications
Required:
- Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics
- 4+ years of experience delivering analytics, machine learning, automation, data, or generative and agentic AI solutions
- Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments
- Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of the following model platforms: GPT-4o, Claude, or Llama; and one or more of the following application platforms: ChatGPT, Claude, or Gemini
- Experience working with finance data and use cases related to planning, budgeting, forecasting, close, profitability, or cost allocations
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics, or Statistics
- Experience deploying machine learning or generative and agentic AI solutions into production environments
- Experience with Databricks, Apache Spark, Snowflake, TensorFlow, PyTorch, or scikit-learn
- Experience with finance platforms such as SAP, Oracle, Anaplan, OneStream, or Workday
- Experience with Tableau or Microsoft Power BI
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200-$229,100.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Education:Bachelor's DegreeEmployment Type: