1

Manager Machine Learning Finance Jobs in Tennessee

AI Solutions Architect

Nashville, TN ยท On-site

$60.75 - $80.25/hr

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

... machine learning and artificial intelligence solutions for business and client use cases. * Manage ... Your contributions can help clients improve financial performance, accelerate new digital ventures ...

Profitability & Costing Senior Manager

Nashville, TN ยท On-site

$105K - $143K/yr

... finance and global business services leaders recognize the opportunity to better serve the ... machine learning, while managing and developing diverse teams through mentorship, coaching, 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 ...

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

AI Engineer II

Memphis, TN ยท On-site

$87K - $119K/yr

Demonstrated ability to build and optimize scalable data pipelines for training and evaluating machine learning models. * Strong knowledge of both SQL and NoSQL databases for querying and managing ...

Senior AI Engineer - SFL Scientific

Nashville, TN ยท On-site

$100K - $138K/yr

... machine learning engineers, project managers, and industry experts to develop robust AI ... Work alongside clients every step of the way, helping them navigate new challenges, avoid financial ...

Experience with machine learning models and predictive analytics. * Experience working in fast ... Stakeholder Management: presenting to Sr. technology leaders. WHAT YOU'LL DO: Job Responsibilities:

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 Tennessee? The most popular types of Machine Learning Finance jobs in Tennessee are:
What job categories do people searching Manager Machine Learning Finance jobs in Tennessee look for? The top searched job categories for Manager Machine Learning Finance jobs in Tennessee are:
What cities in Tennessee are hiring for Manager Machine Learning Finance jobs? Cities in Tennessee with the most Manager Machine Learning Finance job openings:
Digital Finance Transformation - ERP Modernization: Senior Associate - Private Equity Performance Im

Digital Finance Transformation - ERP Modernization: Senior Associate - Private Equity Performance Im

Alvarez & Marsal

Nashville, TN โ€ข On-site

$100K - $170K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 22 days ago


Job description

Description
Digital Finance Transformation - Data Scientist: Senior Associate / Manager - - 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 work-guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity-are why our people love working at A&M.
The Team
A&M'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 clients' 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 function-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
  • 4-8 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.
#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 person'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 $100,000--$170,000 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. 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 30 hours
Regular employees working 30 or more hours per week are also entitled to participate in Alvarez & Marsal Holdings' 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. Click here for more information regarding A&M's benefits programs.
Inclusive Diversity
A&M's entrepreneurial culture celebrates independent thinkers and doers who can positively impact our clients and shape our industry. The collaborative environment and engaging work-guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity-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 & Marsal'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 region 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.