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Model Risk Manager Jobs in Plant City, FL (NOW HIRING)

Accenture Federal Services

AI/ML Engineer

Tampa, FL · Hybrid

Understanding of data governance, security constraints, and model risk management. * Ability to communicate complex technical concepts to nontechnical stakeholders. Security Clearance: * Active TS ...

DTCC

Director IT Embedded Risk

Tampa, FL · On-site

DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays ... The incumbent will execute and support day-to-day IT risk management activities for the Enterprise ...

JLL

Senior Director - Special Assets

Tampa, FL

Deliver regular reporting and risk insights to senior leadership and asset management teams ... Strong analytical and financial modeling skills * Workout experience preferred, but not required

Amerantbank

Credit Risk Metrics Specialist

Tampa, FL · On-site

Ensure model documentation is up to date and in accordance with regulatory requirements. * Maintain ... Engage with the business and Enterprise Data Management Office to identify and help remediate data ...

New

Morgan Stanley

E*TRADE Risk Officer

Tampa, FL · On-site

Ensure continuous and appropriate supervisory coverage, working with Management, Site Leaders, and the Senior Risk Officer to maintain coverage models and back-up plans. * Oversee adherence to the E*

Nous Infosystems

AI Solution Architect

Tampa, FL · On-site

$57.25 - $75.50/hr

Experience with AI governance, model risk management, and responsible AI practices (fairness, explainability, security, and privacy). * Familiarity with vector databases, semantic search, RAG ...

DTCC

Associate Director IT Embedded Risk

Tampa, FL · On-site

DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays ... The incumbent will implement and support day-to-day IT risk management activities (such as risk and ...

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Showing results 21-40

All JobsModel Risk JobsModel Risk Manager JobsModel Risk Manager Jobs in Plant City, FL

Model Risk Manager information

See Plant City, FL salary details

$45.2K

$98K

$149.3K

How much do model risk manager jobs pay per year?

As of Aug 7, 2026, the average yearly pay for model risk manager in Plant City, FL is $97,997.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,100.00 and $113,300.00 per year, depending on experience, location, and employer.

What are common challenges a model risk manager faces when validating complex financial models?

Model Risk Managers often encounter challenges such as limited or incomplete data, evolving regulatory requirements, and the need to validate highly complex or proprietary models. They must work closely with model developers, quantitative analysts, and compliance teams to ensure all assumptions and methodologies are sound. Staying up to date with industry best practices and maintaining clear documentation are also crucial, as is effectively communicating findings to both technical and non-technical stakeholders.

What is the difference between Model Risk Manager vs Quantitative Analyst?

AspectModel Risk ManagerQuantitative Analyst
Required CredentialsAdvanced degrees in finance, statistics, or mathematics; certifications like FRM or CFADegree in finance, economics, mathematics, or related fields; often CFA or CQF
Work EnvironmentFocus on risk management teams within financial institutions; regulatory complianceAnalytical roles within trading, investment, or banking divisions; model development
Employer & Industry UsageFinancial institutions, banks, asset managersInvestment firms, hedge funds, banks, financial services

The Model Risk Manager primarily oversees and mitigates risks associated with financial models, ensuring compliance and accuracy. In contrast, Quantitative Analysts develop and implement models to support trading, investment, or risk strategies. While both roles require strong quantitative skills and similar credentials, their focus areas differ—risk management versus model development and analysis.

What skills and qualifications are needed to be a model risk manager?

To thrive as a Model Risk Manager, you need a solid background in quantitative finance, statistics, or mathematics, often supported by an advanced degree and experience in model development or validation. Familiarity with programming languages such as Python or R, risk management frameworks, and regulatory requirements like SR 11-7 or ECB guidelines is typically expected. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for articulating complex model risks to stakeholders. These competencies are vital for ensuring the accuracy, compliance, and reliability of financial models within an organization.

What does a model risk manager do?

A Model Risk Manager is responsible for identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. They ensure that models are accurate, reliable, and compliant with regulatory standards by overseeing validation processes and monitoring model performance. Their role often includes collaborating with model developers, conducting independent reviews, and implementing model governance frameworks to minimize potential losses or errors stemming from model misuse or inaccuracies.
What job categories do people searching Model Risk Manager jobs in Plant City, FL look for? The top searched job categories for Model Risk Manager jobs in Plant City, FL are:
What cities near Plant City, FL are hiring for Model Risk Manager jobs? Cities near Plant City, FL with the most Model Risk Manager job openings:
Model Risk Manager jobs near you
Infographic showing various Model Risk Manager job openings in Plant City, FL as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $97,997 per year, or $47.1 per hour.

AI/ML Engineer

Accenture Federal Services

Tampa, FL • Hybrid

Full-time

Posted 14 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

44th of 482 rated business services

Job description

We are seeking an AI Engineer with strong experience in Large Language Models (LLMs) and RetrievalAugmented Generation (RAG) to design, build, and optimize intelligent systems that solve complex mission and enterprise challenges. This role blends modern GenAI engineering with traditional computer science and machine learning, supporting both rapid prototyping and productiongrade delivery.

Key Responsibilities

  • Design, develop, and maintain RAG pipelines, including document ingestion, embedding generation, vector storage, retrieval logic, and LLM orchestration.
  • Build and optimize LLMpowered applications for classification, summarization, Q&A, knowledge retrieval, and workflow automation.
  • Apply core software engineering and ML fundamentals to ensure performance, reliability, and security (e.g., data structures, algorithms, model evaluation, MLOps, API development).
  • Implement and tune traditional ML models when required (e.g., regression, clustering, feature engineering, classical NLP).
  • Integrate cloudnative services (Azure/AWS), data pipelines, and containerized workloads (Docker). Collaborate closely with crossfunctional teams-including data engineers, architects, and mission SMEs-to translate requirements into scalable solutions.

Required Skills

  • Handson experience with LLMs, prompt engineering, embeddings, vector databases, and RAG frameworks.
  • Strong programming skills in Python; familiarity with Java/C++ is a plus.
  • Proficiency with ML and DL frameworks (PyTorch, TensorFlow, HuggingFace).
  • Solid understanding of algorithms, data structures, APIs, and distributed systems.
  • Experience with cloud platforms (AWS or Azure) and containerization (Docker).
  • Ability to work across structured and unstructured datasets.

Preferred Skills

  • Experience building productionready AI/ML systems, including CI/CD or MLOps frameworks (MLFlow/BentoML).
  • Understanding of data governance, security constraints, and model risk management.
  • Ability to communicate complex technical concepts to nontechnical stakeholders.

Security Clearance: 

  • Active TS/SCI Clearance

#LI-Defense 

#LI-Hybrid 

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