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Model Manager Jobs in Florida (NOW HIRING)

This role owns end-to-end design, development, validation, deployment partnership, and performance management of high-impact fraud models across SoFi products including Personal Loans, Student Loans ...

The Model Validation Director is expected to lead and execute model validation testing processes on ... Computer Science, Management Information Systems, or Statistics/Mathematics. * Experience with data ...

A. seeks a Model/Analysis/Validation Officer for its Tampa, Florida location. Duties: Build market ... Work with market risk management systems, data flow, data definition and data requirements for ...

Revit Modeler

Tampa, FL · On-site

$40 - $50/hr

... management services, with a focus on innovation and sustainability. Using advanced analytics ... Kennedy Jenks supports a healthy work-life balance and utilizes a hybrid model of home and office ...

The BIM Manager is responsible for assisting in the development and implementation of the overall Building Information Modeling (BIM) process as it relates to software application and project support.

The BIM Manager is responsible for assisting in the development and implementation of the overall Building Information Modeling (BIM) process as it relates to software application and project support.

The BIM Manager is responsible for assisting in the development and implementation of the overall Building Information Modeling (BIM) process as it relates to software application and project support.

The BIM Manager is responsible for assisting in the development and implementation of the overall Building Information Modeling (BIM) process as it relates to software application and project support.

The BIM Manager is responsible for assisting in the development and implementation of the overall Building Information Modeling (BIM) process as it relates to software application and project support.

The BIM Manager is responsible for assisting in the development and implementation of the overall Building Information Modeling (BIM) process as it relates to software application and project support.

The BIM Manager is responsible for assisting in the development and implementation of the overall Building Information Modeling (BIM) process as it relates to software application and project support.

The BIM Manager is responsible for assisting in the development and implementation of the overall Building Information Modeling (BIM) process as it relates to software application and project support.

The BIM Manager is responsible for assisting in the development and implementation of the overall Building Information Modeling (BIM) process as it relates to software application and project support.

You will work closely with estimating, engineering, and preconstruction management teams to ... Interpret architectural drawings, details, and specifications to model facade geometry, unitization ...

Data Modeling ,

Tampa, FL · On-site

$51.75 - $67/hr

... Model Have working Knowledge of Industry Standard Reporting/ETL tools. Having good PL SQL Skills ... with managing meta data for data models To develop, publish, maintain all documentation for data ...

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Model Manager information

See Florida salary details

$18.3K

$44.5K

$86.7K

How much do model manager jobs pay per year?

As of Jun 9, 2026, the average yearly pay for model manager in Florida is $44,483.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,400.00 and $51,200.00 per year, depending on experience, location, and employer.

What is a Model Manager job?

A Model Manager is responsible for overseeing the development, deployment, and maintenance of machine learning models within an organization. They coordinate between data scientists, engineers, and business stakeholders to ensure models are accurate, efficient, and aligned with business goals. Their role includes managing model performance, monitoring for bias or drift, and optimizing workflows for scalability. They also ensure compliance with ethical AI practices and industry regulations.

What are the key skills and qualifications needed to thrive in the Model Manager position, and why are they important?

Model Managers need a solid understanding of talent management, contract negotiation, branding, and the fashion or entertainment industry—often supported by a background in business, communications, or marketing. They should be proficient in using digital portfolio management platforms, scheduling tools, and industry-standard CRM (customer relationship management) systems. Exceptional interpersonal skills, strong organizational abilities, and the capacity to handle high-pressure situations set top professionals apart. These competencies are vital to successfully managing client relationships, securing opportunities, and advancing the careers of the models they represent.

What are the typical daily responsibilities of a Model Manager?

As a Model Manager, your daily responsibilities may include scouting new talent, organizing and facilitating photoshoots or auditions, negotiating contracts with agencies or clients, and overseeing the development of models' portfolios. You’ll often serve as the primary point of contact between models, clients, and agencies, making sure all parties are aligned on expectations and schedules. Additionally, administrative duties such as booking appointments, managing payments, and updating legal documentation are core aspects of the role. This position requires a balance of hands-on talent management and behind-the-scenes coordination to ensure your models' careers progress smoothly.

What are the most commonly searched types of Model jobs in Florida? The most popular types of Model jobs in Florida are:
What are popular job titles related to Model Manager jobs in Florida? For Model Manager jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Model Manager jobs in Florida look for? The top searched job categories for Model Manager jobs in Florida are:
Fraud Model Developer

Fraud Model Developer

SoFi

Jacksonville, FL • On-site

Other

Posted 19 days ago


Job description

The role:

We are looking for a Senior Data Scientist and/or Machine Learning Model Developer to join our Fraud Model Development Team. This role owns end-to-end design, development, validation, deployment partnership, and performance management of high-impact fraud models across SoFi products including Personal Loans, Student Loans, Credit Cards, and Crypto.

The Senior Fraud Model Developer is accountable for measurable fraud loss reduction and false positive improvements within assigned domains. This individual partners closely with Fraud Prevention, Risk, Operations, Finance, Compliance, and ML Platform teams to influence fraud strategy, inform risk tolerance decisions, and ensure models deliver sustained business impact.

This position requires deep expertise in data analytics, statistical modeling, and machine learning, along with the ability to translate complex model performance into clear business outcomes. The ideal candidate brings strong fraud domain knowledge, production ML experience, and a demonstrated ability to manage model risk and complexity at scale

What you'll do:

The Senior Fraud Model Developer will help SoFi build and scale high-performing fraud modeling solutions by:

  • Owning end-to-end development of fraud models within assigned product or risk domains, from problem framing through production deployment and ongoing monitoring
  • Driving measurable reductions in fraud loss, false positives, and operational expenses
  • Translating model outputs into business impact metrics and influencing fraud strategy decisions
  • Aggregating and synthesizing datasets from multiple data environments to design scalable and reusable modeling frameworks
  • Analyzing complex datasets to identify drivers of fraud loss and member friction across products
  • Conducting trade-off analysis between fraud loss mitigation, customer experience, and regulatory guardrails
  • Establishing and maintaining model monitoring standards (e.g., performance metrics, drift detection, recalibration cadence) to proactively manage model risk
  • Investigating external risk data and emerging fraud patterns to inform roadmap prioritization
  • Partnering with ML Platform teams to productionize models in AWS and improve lifecycle governance
  • Reducing model development cycle time by simplifying processes, improving documentation rigor, and creating reusable components
  • Handling escalations related to model performance, risk exposure, or business impact within assigned scope
  • Influencing roadmap sequencing and contributing to prioritization discussions based on ROI, regulatory considerations, and level of effort
What you'll need:
  • 7+ years of advanced quantitative modeling experience, or
    • Master's degree and 5+ years of related experience, or
    • PhD and 3+ years of related experience, or
    • Equivalent practical experience
  • Demonstrated ownership of production machine learning models with measurable impact on fraud loss or false positive reduction
  • Deep expertise in Python, SQL, and data visualization tools (e.g., Tableau)
  • Strong knowledge of statistical methodologies and machine learning techniques (e.g., regression, decision trees, gradient boosting, random forests, neural networks, clustering analysis)
  • Experience designing, validating, and monitoring models using metrics such as AUC, KS, precision/recall, and drift detection
  • Ability to independently determine modeling approaches, manage trade-offs, and execute solutions with minimal guidance
  • Experience partnering cross-functionally with Risk, Fraud Ops, Engineering, Finance, and Compliance stakeholders
  • Strong communication skills with the ability to distill complex technical concepts into clear business recommendations
  • Demonstrated ability to manage risk exposure within projects and proactively escalate with proposed solutions
Nice to have:
  • Direct experience in fintech, banking, payments, or digital fraud risk
  • Familiarity with graph databases and network-based fraud detection
  • Experience developing and deploying models in AWS environments
  • Experience influencing fraud policy or risk tolerance decisions