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Model Risk Manager Jobs in Wesley Chapel, FL (NOW HIRING)

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 execute and support day-to-day IT risk management activities (such as risk and ...

Momento USA LLC

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 ...

New

Apple

US-Senior Manager

Brandon, FL · On-site

Be a role model for inclusive leadership behaviors and build, develop, and retain diverse teams ... Manage work through effective organization, planning, and prioritization.

Deloitte

Origami Risk Delivery Manager

Tampa, FL · On-site

Our delivery models are tailored to meet each client's unique requirements. Recruiting for this role ends on 08/29/2026. Work you'll do As a Manager focused on Origami Risk Delivery on the Insurance ...

Prescient Edge

Senior Collection Manager

Tampa, FL · On-site

Manage large amounts of data, ensures data consistency, produces visualizations and develops models to report findings. * Assists developing methods and criteria to evaluate whether collection ...

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All JobsModel Risk JobsModel Risk Manager JobsModel Risk Manager Jobs in Wesley Chapel, FL

Model Risk Manager information

See Wesley Chapel, FL salary details

$44.8K

$97.1K

$147.9K

How much do model risk manager jobs pay per year?

As of Jul 16, 2026, the average yearly pay for model risk manager in Wesley Chapel, FL is $97,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $112,300.00 per year, depending on experience, location, and employer.

What are some 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 are the key skills and qualifications needed to thrive as a Model Risk Manager, and why are they important?

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 are popular job titles related to Model Risk Manager jobs in Wesley Chapel, FL? For Model Risk Manager jobs in Wesley Chapel, FL, the most frequently searched job titles are:
What job categories do people searching Model Risk Manager jobs in Wesley Chapel, FL look for? The top searched job categories for Model Risk Manager jobs in Wesley Chapel, FL are:
What cities near Wesley Chapel, FL are hiring for Model Risk Manager jobs? Cities near Wesley Chapel, FL with the most Model Risk Manager job openings:
Model Risk Manager jobs near you
AI Solution Architect

AI Solution Architect

Nous Infosystems

Tampa, FL • On-site

$57.25 - $75.50/hr

Other

Posted 10 days ago

Job description

Role: AI Solution Architect

Location: Onsite – Tampa, Florida

Experience: 8–15 years of overall IT experience, with at least 3–5 years focused on AI solution architecture and delivery. 

Mandatory Skill Tags: AI Solution Architecture, AI solution design, latest AI models, LLMs, enterprise AI architecture, cloud AI/ML platforms, data & MLOps integration 

Secondary Skill Tags: responsible AI, AI governance, vector databases, RAG, semantic search, MLOps tools, cloud-native architecture, microservices, Kubernetes, agile delivery 

Job Summary:

The Onsite AI Solution Architect will lead the end-to-end architecture, design, and implementation of AI and AI-native solutions for Advantive. This role will closely collaborate with business stakeholders, product owners, data teams, and engineering to translate business requirements into scalable, secure, and robust AI architectures. The architect will provide thought leadership on latest AI models and LLMs and ensure best practices, governance, and standards are adopted across AI initiatives.  

Key Responsibilities:

  • Lead the architecture, design, and technical roadmap for AI and AI-native solutions aligned to business strategy. 
  • Translate business and functional requirements into scalable AI solution architectures, covering data, model, application, and integration layers. 
  • Evaluate, select, and integrate latest AI models and LLMs (including cloud and third-party services) into enterprise applications and workflows. 
  • Define reference architectures, patterns, standards, and reusable components for AI solution delivery across the organization. 
  • Collaborate with data engineers, MLOps engineers, application developers, and product teams to ensure high-quality, production-grade AI deployments. 
  • Establish non-functional requirements (performance, security, reliability, observability) and ensure AI solutions meet enterprise architecture and compliance guidelines. 
  • Conduct technical reviews, PoCs, and feasibility assessments for new AI use cases and guide teams on best practices and optimization. 
  • Provide architectural leadership, mentoring, and guidance to project teams, driving continuous improvement and innovation in AI solution delivery.  

Required Skills:

  • Strong experience in AI Solution Architecture, designing and delivering enterprise-grade AI solutions. 
  • Proven expertise in architectural design involving AI solutions, including end-to-end solution blueprints and reference architectures.
  • Hands-on knowledge of designing AI-based solutions using machine learning, deep learning, and LLM-based approaches. 
  • In-depth understanding of latest AI models and large language models (LLMs), including their capabilities, limitations, and suitable use cases. 
  • Experience with AI/ML platforms and services (e.g., Azure AI, AWS AI/ML, Google Cloud AI, or equivalent). 
  • Solid understanding of data architecture concepts, including data pipelines, feature stores, model deployment, and monitoring (MLOps). 
  • Strong background in application integration patterns (APIs, microservices, event-driven architecture) for embedding AI into products and workflows. 
  • Ability to create high-quality architectural artifacts (HLDs, LLDs, sequence diagrams, data flow diagrams) and communicate them to technical and non-technical stakeholders. 
  • Strong stakeholder management, communication, and leadership skills to drive consensus and decision-making.  

Good to Have Skills

  • Experience with AI governance, model risk management, and responsible AI practices (fairness, explainability, security, and privacy). 
  • Familiarity with vector databases, semantic search, RAG (Retrieval-Augmented Generation), and knowledge-graph-based solutions. 
  • Exposure to MLOps tools and frameworks for CI/CD of ML models and LLM-based applications. 
  • Experience in designing multi-tenant, cloud-native architectures using containers and orchestration (Docker, Kubernetes). 
  • Knowledge of enterprise integration with ERP/CRM/line-of-business applications. 
  • Prior experience in leading AI architecture for product-based or ISV organizations. 
  • Experience working in agile delivery environments and collaborating with distributed teams.  

Educational Qualification

Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related discipline from a recognized institution. 

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