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Machine Learning Finance Jobs in Arizona (NOW HIRING)

Data Analyst

Phoenix, AZ ยท On-site

$90K - $130K/yr

... machine learning initiatives by preparing, validating, and governing datasets used for model ... Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student ...

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.

Data Solutions Engineer

Tempe, AZ ยท On-site +1

$91K - $156K/yr

Stay abreast of the latest trends in cloud computing, machine learning, AI, and data engineering ... assistance, financial assistance, and much more. * We value your time: From paid time off to ...

... personal trainers, financial advisors, skilled trades professionals and insurance brokers ... Advanced understanding and practical experience in machine learning and natural language processing ...

Architect

Phoenix, AZ ยท On-site

$63 - $83/hr

Responsibilities รขโ‚ฌยข Define the vision, strategy, and roadmap for AI solutions in the financial ... such as machine learning, deep learning, natural language processing, computer vision, or ...

Support AI program development and Machine Learning techniques to improve efficiency and automation ... When you are at your best-physically, mentally, and financially-our company is at its best. We ...

Senior Agent AI Engineer

Phoenix, AZ ยท On-site

$128K - $176K/yr

Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related technical ... When you are at your best-physically, mentally, and financially-our company is at its best. We ...

Senior Agent AI Engineer

Phoenix, AZ ยท On-site

$128K - $176K/yr

Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related technical ... When you are at your best-physically, mentally, and financially-our company is at its best. We ...

Lead ML Ops Engineer

Tempe, AZ ยท On-site

$98K - $129K/yr

This role manages a team of Machine Learning Operations Engineers, oversees the endtoend ... Wellness at CLA To support our CLA family members, we focus on their physical, financial, social ...

Sr. Java Engineer

Scottsdale, AZ ยท On-site

$124K - $164K/yr

Experience with Big Data technologies (Spark, Hadoop, Hive) and Machine Learning frameworks is a plus. * Exposure to Healthcare, Financial Services, or other enterprise environments. * Excellent ...

Sr. Java Engineer

Scottsdale, AZ

$124K - $164K/yr

Experience with Big Data technologies (Spark, Hadoop, Hive) and Machine Learning frameworks is a plus. * Exposure to Healthcare, Financial Services, or other enterprise environments. * Excellent ...

Fraud Specialist

Phoenix, AZ ยท On-site +1

$22.50/hr

Monitor and utilize AI fraud detection tools, machine learning model scores, and alert systems to ... S. consumers to an innovative approach to personal finance as the first peer-to-peer lending ...

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Showing results 1-20

Machine Learning Finance information

See Arizona salary details

$23.3K

$86.3K

$126.3K

How much do machine learning finance jobs pay per year?

As of Jul 4, 2026, the average yearly pay for machine learning finance in Arizona is $86,322.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $101,600.00 per year, depending on experience, location, and employer.

What job makes $1,000,000 a year?

In the field of machine learning finance, highly senior roles such as Chief Data Officer or Quantitative Hedge Fund Manager can earn $1,000,000 or more annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, extensive experience, and expertise in algorithms, financial modeling, and programming tools like Python or R.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence or machine learning within finance or technology sectors, often involving advanced skills in data analysis, programming, and model development. Such roles may include AI research scientists, machine learning engineers, or senior data scientists, and usually require extensive experience, specialized certifications, and proficiency with tools like Python, TensorFlow, or cloud platforms.

Can machine learning be used in finance?

Machine learning is widely used in finance for tasks such as risk assessment, fraud detection, algorithmic trading, and portfolio management. Machine learning finance professionals develop models using programming languages like Python and tools such as TensorFlow or scikit-learn to analyze large datasets and improve decision-making processes.

What are the key skills and qualifications needed to thrive in the Machine Learning Finance position, and why are they important?

To excel in Machine Learning Finance, you need strong quantitative skills, proficiency in programming (typically Python or R), and a solid background in both finance and machine learning, often supported by a relevant degree such as in computer science, statistics, mathematics, or finance. Familiarity with machine learning libraries (like TensorFlow, scikit-learn), financial modeling tools, and certifications such as CFA or FRM can be highly beneficial. Excellent problem-solving abilities, communication skills, and a collaborative attitude help professionals translate complex data into practical financial insights and work effectively with both technical and non-technical stakeholders. These competencies enable you to create robust predictive models, drive innovation in financial analysis, and ensure sound decision-making in dynamic industry settings.

What is the salary of ML in finance?

Machine Learning professionals in finance typically earn between $80,000 and $150,000 annually, depending on experience, location, and specific role. Senior roles or those with advanced skills in data analysis, programming, and financial modeling can earn higher salaries, often exceeding $200,000 with bonuses and incentives.

What are some typical challenges faced by professionals in Machine Learning Finance roles?

Professionals in Machine Learning Finance often encounter challenges such as working with noisy or incomplete financial data, keeping up with rapidly evolving algorithms, and ensuring model compliance with industry regulations. They may also need to bridge the gap between technical model development and practical business needs, communicating complex findings to non-technical teams. These roles typically involve close collaboration with traders, financial analysts, and risk managers to ensure that machine learning solutions are both accurate and actionable. Facing these challenges can be rewarding, offering significant opportunities for skill development and career advancement in a data-driven financial landscape.

What is a Machine Learning Finance job?

A Machine Learning Finance job involves applying machine learning techniques to financial problems such as risk assessment, algorithmic trading, fraud detection, and portfolio optimization. Professionals in this field build predictive models, analyze large datasets, and automate decision-making processes to improve financial performance. They typically work with tools like Python, TensorFlow, and financial datasets to develop AI-driven solutions. These roles require expertise in machine learning, statistics, and financial markets, often blending data science with quantitative finance.

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 are popular job titles related to Machine Learning Finance jobs in Arizona? For Machine Learning Finance jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Machine Learning Finance jobs in Arizona look for? The top searched job categories for Machine Learning Finance jobs in Arizona are:
Associate, Digital Finance Transformation - Data Scientist - Private Equity Performance Improvement

Associate, Digital Finance Transformation - Data Scientist - Private Equity Performance Improvement

Alvarez and Marsal

Phoenix, AZ โ€ข On-site

$90K - $130K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 5 days ago


Job description

Description

Digital Finance Transformation - Data Scientist:ย  Associate โ€“ ย Private Equity Performance Improvement

About Alvarez & Marsal

Alvarez & Marsal (A&M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging workโ€”guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversityโ€”are why our people love working at A&M.

The Team

A&Mโ€™s Private Equity Performance Improvement Services (PEPI) practice works with private equity held portfolio companies and provides our clients with solutions to preserve and generate value for their businesses. Our goal is to improve transparency to key drivers and business performance, to support increasing cash and EBITDA, and to provide benefits through hands-on involvement in our clientsโ€™ operations. Our job is to support PE firms to ensure their portfolio companies have credible plans and the ability to execute and deliver financial outcomes.

Our PEPI CFO Services practice includes the following pillar of services:

  • Strategic Finance and Liquidity Management
  • Accounting Advisory and Financial Reporting Solutions
  • Working Capital Optimization
  • Digital Finance Transformation
  • Interim Management

How you will contribute

We are seeking an Associate or Senior Associate to join our Digital Finance Transformation team within PEPI. This role focuses on helping private equity portfolio companies accelerate digital enablement within the finance functionโ€”modernizing data environments, automating processes, and building analytics-driven tools that create measurable business impact.

The ideal candidate blends strong technical expertise in Python, SQL, and modern data platforms with a solid understanding of finance and accounting operations. You will work directly with CFOs, Controllers, and FP&A leaders to design, implement, and operationalize digital solutions that improve performance, transparency, and scalability.

Qualifications

  • 3-6 plus years of professional experience; consulting or professional services experience preferred.
  • Advanced Python programming experience, including familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Strong SQL skills and experience with modern data platforms (Snowflake, Databricks, Azure Synapse, Microsoft Fabric).
  • Experience with ETL/orchestration tools (Dagster, Temporal, Azure Data Factory, AWS Glue, Fivetran, Matillion).
  • Demonstrated ability to develop lightweight finance applications using Streamlit or Retool.
  • Solid understanding of finance and accounting concepts, including forecasting, working capital management, and three-statement modeling.
  • Exceptional communication and collaboration skills; proven ability to translate between finance and technology teams.
  • Ability to travel as required

#LI-LS1

Your journey at A&M

We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each personโ€™s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.

We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M. The possibilities are endless for high-performing and passionate professionals.

The salary range is $90,000--$130,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance.ย  Please ask your recruiter for details.

Alvarez & Marsal recruits on an ongoing basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) that they are qualified for and that are of interest to them.

Full-time Positions and Part-time Positions Over 30ย hours

Regular employees working 30 or more hours per week are also entitled to participate in Alvarez & Marsal Holdingsโ€™ fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez & Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type. Clickย hereย for more information regarding A&Mโ€™s benefits programs.

Inclusive Diversity

A&Mโ€™s entrepreneurial culture celebrates independent thinkers and doers who can positively impact our clients and shape our industry. The collaborative environment and engaging workโ€”guided by A&Mโ€™sย core valuesย of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversityโ€”are the main reasons our people love working at A&M. Inclusive Diversity means we embrace diversity, and we foster inclusiveness, encouraging everyone to bring their whole self to work each day. It runs through how we recruit, develop employees, conduct business, support clients, and partner with vendors. It is the A&M way.

Equal Opportunity Employer

It is Alvarez & Marsalโ€™s practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws. Employees and Applicants can find A&M policy statements and additional information by regionย here.

Unsolicited Resumes from Third-Party Recruiters

Please note that as per A&M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.