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Manager Machine Learning Finance Jobs in Rayne, LA

Nidec Motor

Machinist (Manual)

Opelousas, LA · On-site

$17 - $23/hr

We seek the trust and cooperation of our customers, employees, and community by managing our ... Tuition reimbursement and continuous learning opportunities to support your professional growth.

Northwestern Mutual

Financial Advisor

Lafayette, LA · On-site

$137K - $250K/yr

Overview Becoming a financial advisor at Northwestern Mutual is a unique opportunity to start a ... Excellent time-management skills * Desire for continuous learning and collaboration * Proficient ...

Northwestern Mutual

Financial Advisor

Lafayette, LA · On-site

$61K - $250K/yr

Overview Becoming a financial advisor at Northwestern Mutual is a unique opportunity to start a ... Excellent time-management skills * Desire for continuous learning and collaboration * Proficient ...

Northwestern Mutual

Financial Advisor

Lafayette, LA

$137K - $250K/yr

Overview Becoming a financial advisor at Northwestern Mutual is a unique opportunity to start a ... Excellent time-management skills * Desire for continuous learning and collaboration * Proficient ...

Northwestern Mutual

Financial Advisor

Lafayette, LA · On-site

$61K - $250K/yr

Becoming a financial advisor at Northwestern Mutual is a unique opportunity to start a business ... Excellent time-management skills * Desire for continuous learning and collaboration * Proficient ...

Republic Finance

Branch Operations Intern

Abbeville, LA · On-site

$15/hr

Spend time with your Manager and Regional Vice President learning about responsibilities at their levels to understand the promotional path to see what your career potential is with Republic Finance.

Republic Finance

Branch Operations Intern

Abbeville, LA · On-site

$15/hr

Spend time with your Manager and Regional Vice President learning about responsibilities at their levels to understand the promotional path to see what your career potential is with Republic Finance.

The Mutual Group

Lead AI Engineer - AWS Platform

Iowa, LA · On-site +1

$130K - $190K/yr

Build machine learning models that automate their training, validation, monitoring, and retraining ... Manage model versioning, performance monitoring, and retraining processes Build on AWS * Develop ...

CGI Inc.

Forward Deployed Engineer

Lafayette, LA · On-site

... change management, and knowledge transfer. . Act as the technical bridge between the client ... machine learning solutions that guide prediction and forecasting. . Address the challenges of ...

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Showing results 1-20

All JobsMachine Learning Finance JobsManager Machine Learning Finance JobsManager Machine Learning Finance Jobs in Rayne, LA

Manager Machine Learning Finance information

See Rayne, LA salary details

$34.9K

$103.3K

$140.4K

How much do manager machine learning finance jobs pay per year?

As of Sep 1, 2026, the average yearly pay for manager machine learning finance in Rayne, LA is $103,271.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $139,500.00 per year, depending on experience, location, and employer.

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.

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 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.

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 involves skills in data science, programming, and finance, and is used to enhance decision-making processes and automate tasks within financial institutions.
Manager Machine Learning Finance jobs near you

AI Consulting Senior Manager

Lafayette, LA • On-site

Lindsay & Brownell
Accounting Services • 1 - 10 employees
Learn more about Lindsay & Brownellexternal

Full-time

Posted 26 days ago

Job description

Job Description

At EisnerAmper, we look for individuals who welcome new ideas, encourage innovation, and are eager to make an impact. Whether you're starting out in your career or taking your next step as a seasoned professional, the EisnerAmper experience is one-of-a-kind. You can design a career you'll love from top to bottom - we give you the tools you need to succeed and the autonomy to reach your goals.

EisnerAmper is seeking a Consulting Senior Manager to support our clients' AI journeys at EisnerAmper. The ideal candidate will be committed to understanding business objectives and client needs with an advanced business understanding of AI technologies, including machine learning, advanced analytics, and generative AI. You will also have a strong product management background and a proven record in delivering product strategy and impactful solutions across complex portfolios. This role offers an exciting opportunity to shape the future of AI Advisory at EisnerAmper, supporting our clients' business transformation through advanced technology.

What it Means to Work for EisnerAmper:

  • You will get to be part of one of the largest and fastest growing accounting and advisory firms in the industry

  • You will have the flexibility to manage your days in support of our commitment to work/life balance

  • You will join a culture that has received multiple top "Places to Work" awards

  • We believe that great work is accomplished when cultures, ideas and experiences come together to create new solutions

  • We understand that embracing our differences is what unites us as a team and strengthens our foundation

  • Showing up authentically is how we, both as professionals and a Firm, find inspiration to do our best work

What Work You Will be Responsible For:

  • Maintain client relationships and tailor the engagement to meet the client's needs and expectations. Play a visible leadership role during client engagements: conduct discovery, develop strategy, and deliver solutions while managing up, down, and outward.

  • Identify, define, and prioritize product/platform roadmaps to guide the client's AI/ML/GenAI initiatives and ensure alignment with the client's business objectives. Leverage product management expertise to translate business needs into actionable AI strategies.

  • Maintain a deep understanding and advanced knowledge of solution discovery frameworks, AI market trends, and AI consumer and enterprise tools across a variety of industries.

  • Collaborate with clients to understand requirements and translate them into effective AI/ML/GenAI solutions.

  • Ensure successful project delivery, meeting defined timelines and budget constraints.

  • Collaborate with partner teams to deliver extended value and services to address the client's broader AI/ML/GenAI initiatives.

  • Communicate and provide leadership to other team members to foster a collaborative and innovative environment.

  • Identify and communicate risks that are associated with delivery and AI product development.

  • Supervise, train, and mentor staff and seniors

  • May be required to occasionally work extended hours, or travel to/work from different firm offices and/or client locations.

Basic Qualifications

  • Bachelors Degree Required

  • 8 to 10 years of experience working in product management, consulting, or technology leadership roles, with at minimum 3+ years in a client-facing capacities

  • 5+ years of experience working in data platforms, data products, machine learning, or artificial intelligence products and solutions

Preferred/Desired Qualifications

  • Direct experience integrating Generative AI into solutions

  • Demonstrated commitment to continuous innovation: actively experimenting with emerging AI tools, tracking technological advancements, and pushing the boundaries of what's possible with AI to bring cutting-edge solutions to clients

  • Strong expertise in technology development environments and defining, scaling, and delivering software products through an in-depth understanding of customer needs

  • Excellent communication and interpersonal skills, with the ability to work effectively with stakeholders at all levels

  • Strong problem-solving skills and the ability to think strategically and innovatively, with expertise in strategic and analytical thinking

  • Knowledge of business and enterprise architecture across various platforms

EisnerAmper is proud to be a merit-based employer. We do not discriminate on the basis of veteran or disability status or any protected characteristics under federal, state, or local law.

About our Business Advisory Team:

The EisnerAmper Business Advisory Group offers a wide array of services to an even broader range of businesses. Whether it's dealing with bankruptcy and transactional disputes or executive compensation structures and health care management, our team thrives by marrying deep-rooted industry expertise with a culture of always embracing new perspectives and ideas.

Our "startup mentality," backed by the institutional knowledge and established reputation of the firm, enables us to be flexible and always test what can take our team and clients to the next level. Whether it's a new internal process, digital platform, or service offering, we believe that innovative ideas come from all levels and every employee should have the opportunity to make an impact on the business, our clients, and their careers.

To us, every sub-sector in our group functions as its own business-so we need to think like entrepreneurs ourselves, often putting on the shoes of our clients. It's this mindset that allows us to grow as professionals and provide innovative solutions tailored to our clients' unique needs

About EisnerAmper:

EisnerAmper is one of the largest accounting, tax, and business advisory firms, with approximately 450 partners and 4,500 employees across the world. We combine responsiveness with a long-range perspective; to help clients meet the pressing issues they face today and position them for success tomorrow.

Our clients are enterprises as diverse as sophisticated financial institutions and start-ups, global public firms, and middle-market companies, as well as high net worth individuals, family offices, not-for-profit organizations, and entrepreneurial ventures across a variety of industries. We are also engaged by the attorneys, financial professionals, bankers, and investors who serve these clients.

Should you need any accommodations to complete this application please email: talentacquisition@eisneramper.com

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Preferred Location:
Charlotte

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