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Manager Machine Learning Finance Jobs in Rayne, LA

Senior Predictive Modeler

Iowa, LA · On-site +1

$120K - $200K/yr

... machine learning, and actuarial techniques, including but not limited to GLMs, GBMs, random forests ... Quantify business impact through financial metrics (e.g., lift, ROI, loss ratio improvement, margin ...

Senior AWS Cloud Architect

Lafayette, LA · On-site

$61.75 - $81.25/hr

... performance and cost management. • Participate in Agile planning and provide architecture ... AWS Machine Learning * AWS Machine Learning * Cloud architecture * Docker * GitLab What you can ...

Machinist (Manual)

Opelousas, LA

$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.

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

... 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 ...

Team Manager

Lafayette, LA · On-site

$14.75 - $16.25/hr

Exposure to financial accountability * Excellent communication, interpersonal and customer service ... May use a register, slicer, knives, scissors, other machinery, and a computer. * Climb (ladders) or ...

Pharmacy Manager

Lafayette, LA · On-site

$50.25 - $59/hr

Coordinates proper maintenance and repairs for machinery and equipment. * Observes employee ... Reviews insurance payment records, department budget and financial statements. Develops and ...

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Showing results 1-20

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 Jul 30, 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.

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.

Senior Predictive Modeler

The Mutual Group

Iowa, LA • On-site, Remote

$120K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Job description

Department:

Actuarial

Job Description:

The Senior Predictive Modeler is responsible for designing, developing, and deploying advanced predictive models that drive strategic decision-making across the organization. This role partners closely with actuarial, finance, underwriting, and claim business leaders to translate complex business problems into scalable analytical solutions. The ideal candidate combines deep modeling expertise with strong business judgment and the ability to influence stakeholders.

Work Arrangement:

  • Employees who live within 30 miles of the TMG home office are expected to follow a hybrid or in-office schedule. The initial training period may require additional inoffice days.

Accountabilities:

Predictive Model Development: Design, develop, and optimize advanced predictive models using a broad range of statistical, machine learning, and actuarial techniques, including but not limited to GLMs, GBMs, random forests, time series, and survival models.

  • Perform deep feature engineering, variable selection, and transformation to improve model stability, interpretability, and performance.

  • Evaluate and compare candidate models using rigorous validation techniques, including cross-validation, back-testing, lift analysis, and sensitivity testing.

  • Balance model accuracy, robustness, and explainability to ensure business usability and regulatory acceptance.

  • Apply predictive models to influence complex business problems such as pricing, risk evaluation, customer lifetime value, demand forecasting, and operational efficiency in order to influence business decisions.

  • Quantify business impact through financial metrics (e.g., lift, ROI, loss ratio improvement, margin improvement).

  • Translate modeling outputs into clear recommendations and decision strategies for senior leaders.

Model Governance, Validation & Monitoring: Own model documentation, assumptions, limitations, and versioning in alignment with internal governance standards.

  • Partner with model validation, audit, and risk teams to support model reviews and respond to findings.

  • Develop and maintain model performance monitoring frameworks, including drift detection, recalibration strategies, and retraining schedules.

  • Ensure adherence to regulatory, ethical, and fairness standards, including bias detection and mitigation where applicable.

Analytical Leadership: Serve as a subject matter expert on predictive modeling methodologies and best practices across the organization.

  • Identify opportunities for new data sources, modeling enhancements, and advanced techniques to drive competitive advantage.

  • Lead technical discussions, model reviews, and innovation initiatives within the analytics community.

  • Establish modeling standards, reusable frameworks, and best practices to scale analytics capabilities.

  • Mentor junior modelers and analysts on advanced modeling techniques, diagnostics, and storytelling.

  • Review peer models and analyses, providing technical guidance and constructive feedback.

  • Contribute to internal training, knowledge repositories, and analytics communities of practice.

Qualifications:

  • Bachelor's degree in Statistics, Mathematics, Economics, Actuarial Science, Data Science, or a related quantitative field.

  • 5 to 8+ years of experience in predictive modeling, advanced analytics, or actuarial modeling.

  • Strong proficiency with modeling techniques (e.g., regression, classification, survival models, machine learning).

  • Advanced programming skills in one or more of the following: Python, R, SAS, SQL.

  • Experience working with large datasets, data warehouses, or modern analytical data platforms.

  • Strong analytical thinking and quantitative skills.

  • Demonstrated experience translating analytical work into business impact.

  • Excellent communication skills, including the ability to explain complex models to executive audiences.

Pay Range:

Anticipated Hiring Range:

  • $120,000 - $200,000annual base salary depending on experience, qualifications, and geographic location

Benefits:

We are proud to offer our full-time regular employees a robust benefits suite that includes:

  • Competitive base salary plus incentive plans for eligible team members

  • 401(K) retirement plan that includes a company match of up to 6% of your eligible salary

  • Free basic life and AD&D, long-term disability and short-term disability insurance

  • Medical, dental and vision plans to meet your unique healthcare needs

  • Wellness incentives

  • Generous time off program that includes personal, holiday and volunteer paid time off

  • Flexible work schedules and hybrid/remote options for eligible positions

  • Educational assistance

Equal Opportunity Employer

The Mutual Groupis an Equal Opportunity Employer. It is our policy to recruit, hire, train and promote individuals in all job classifications without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or any other characteristic protected by law.

  • Know Your Rights: Workplace Discrimination is Illegal

  • Your Rights Under USERRA

Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contactTalent@themutualgroup.com.

Employment Verification

The Mutual Group participates in theE-Verifyprogram and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You are protected fromemployment discriminationbased on your citizenship status and national origin.

E-Verify Program Overview

E-Verify Participation Poster

All offers of employment are contingent upon the successful completion of a background check.

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