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Model Risk Manager Jobs in Ormond Beach, FL (NOW HIRING)

PNC Bank

Branch Manager

New Smyrna Beach, FL

Models PNC values by cultivating and supporting an inclusive workplace. * Manages operational, human capital, reputational and business risk. Exercises leadership, authority and sound decision making ...

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All JobsModel Risk JobsModel Risk Manager JobsModel Risk Manager Jobs in Ormond Beach, FL

Model Risk Manager information

See Ormond Beach, FL salary details

$45.2K

$98K

$149.3K

How much do model risk manager jobs pay per year?

As of Aug 11, 2026, the average yearly pay for model risk manager in Ormond Beach, FL is $97,961.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 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 cities near Ormond Beach, FL are hiring for Model Risk Manager jobs? Cities near Ormond Beach, FL with the most Model Risk Manager job openings:
Model Risk Manager jobs near you

Principal Data Architect

Brown & Brown Insurance

Daytona Beach, FL • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Job description

Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers.

Brown & Brown is seeking a Principal Data Architect to join our growing team in Atlanta, GA, Dallas, TX, or Daytona Beach, FL!.

The Data & AI Architect sits within B&B Retail Technology Data & AI organization and supports retail wide data and AI initiatives spanning investment platforms and portfolio operations. We are seeking a seasoned Data & AI Solutions Architect at the Lead/Principal level to serve as the technical authority and strategic design leader B&B Retail data platform and AI ecosystem. This is one of the most impactful and senior individual contributor roles within our Data, Analytics & AI organization.

Role will be responsible for defining the overarching architecture across our data platforms, AI/ML systems, data governance frameworks, and integration patterns - ensuring they are cohesive, scalable, secure, and aligned with our business & Product strategy. You will set the technical direction, establish engineering standards, guide platform decisions, and serve as a trusted advisor to the Retail technology leadership, and business domain leaders.

This is a role for a deeply technical, intellectually curious architect who is equally comfortable shaping long-term strategies and rolling up their sleeves to validate designs, prototype solutions, and guide engineering teams through complex delivery challenges.

How You Will Contribute:

Retail Architecture Strategy & Vision

Define and own the Retail data and AI architecture blueprint, covering data ingestion, storage, transformation, serving, governance, and AI/ML deployment.

Establish the target state architecture across cloud platforms, data products, AI systems, and integration patterns - with a clear, pragmatic roadmap from current to future state.

Lead architecture governance - chairing design reviews, evaluating technology proposals, and enforcing standards across data engineering, AI/ML, and analytics teams.

Translate business strategy and regulatory obligations into concrete, actionable architectural decisions with well-documented tradeoffs.

Serve as the primary technical liaison between Corporate, Retail IT leadership, and enterprise architecture functions across B&B.

Data Platform Architecture

Architect and evolve hybrid data platform built on MSFT Azure, Databricks, Google ensuring the platform supports batch, streaming, & real-time data workloads across all domains.

Design the Medallion architecture and enforce Lakehouse best practices including Delta Lake, Unity Catalog, data product publishing patterns aligned to Data Mesh principles.

Define data modeling standards across entities ensuring consistency

Oversee the architecture of the reference MDM platform and its integration with upstream policy systems, downstream analytics, and the data Lakehouse.

Design enterprise data integration patterns - API-first, event-driven, and ETL/ELT architectures and Integrations to source systems both Internal & external.

Ensure platform architecture meets high availability, disaster recovery, scalability, and cost efficiency requirements for a regulated insurance environment.

AI & ML Architecture

Define the Retail AI/ML architecture - spanning model development, training, deployment, monitoring, and governance - built on Databricks Mosaic AI, Azure Machine Learning, and Azure OpenAI.

Architect the MLOps platform including CI/CD pipelines for ML models, feature store design, model registry, experiment tracking (MLflow), and production model serving.

Design Generative AI and LLM architectures - including Retrieval-Augmented Generation (RAG) systems, agentic frameworks, prompt management, and responsible AI guardrails - for broking insurance use cases across underwriting, claims, and actuarial functions.

Establish AI governance and model risk management frameworks ensuring all production AI systems are explainable, auditable, and compliant with regulatory expectations.

Evaluate and recommend foundational models, AI platforms, and emerging technologies maintaining an architectural view of the evolving AI landscape and its applicability.

Data Governance & Security Architecture

Design the enterprise data governance architecture in partnership with the Data Governance function - covering data cataloging, lineage, classification, quality, and stewardship workflows

Define data access control and security architecture - including RBAC, ABAC, column/row-level security, data masking, and encryption standards across all platform layers.

Ensure architecture adherence to regulatory and compliance requirements

Architect data lineage and audit trails to support certification, audit readiness, and regulatory examination requirements.

Engineering Standards, Patterns & Enablement

Define and maintain the enterprise data and AI engineering standards - including coding standards, design patterns, testing frameworks, CI/CD practices, and documentation requirements.

Create and curate a reference architecture library of reusable patterns for ingestion, transformation, serving, AI deployment, and integration - reducing duplication and accelerating delivery across domain teams.

Conduct architecture reviews and design critiques for major initiatives, providing structured guidance that balances technical rigor with delivery pragmatism.

Mentor and coach senior data engineers, ML engineers, and domain architects - elevating the overall technical quality and architectural thinking across the team.

Stay current with the evolving data and AI technology landscape and bring forward well-reasoned recommendations for platform evolution.

Cross-Functional Leadership & Stakeholder Engagement

Partner with business leaders to understand domain data needs and translate them into durable architectural solutions.

Collaborate with Enterprise IT, Enterprise Architecture, Information Security, and Vendor Management to ensure data and AI architecture is aligned with enterprise technology standards and procurement strategy.

Represent data and AI architecture in vendor evaluations, RFPs, and technology due diligence - providing structured assessments of platform capabilities, integration complexity, and total cost of ownership.

Produce executive-ready architecture documentation, roadmaps for Retail Data & AI and senior leadership consumption.

Skills & Experience to Be Successful:


Required

Education

Bachelor's degree in computer science, Information Systems, Data Engineering, or a related technical field. Master's degree is strongly preferred.

Experience

7+ years of progressive experience in data architecture, data engineering, or enterprise architecture roles - with at least 4 years in a senior or lead architect capacity.

Demonstrated experience designing and delivering enterprise-scale data platforms in cloud environments, with a strong preference for Microsoft Azure, Google and Databricks.

Proven track record of architecting production AI/ML systems including MLOps pipelines, LLM-powered applications, and agentic frameworks.

Significant experience in financial services, insurance, or similarly regulated industries - Broking domain experience strongly preferred.

Experience working directly with senior business leaders as a technical advisor and architecture authority.

Teammate Benefits & Total Well-Being

We go beyond standard benefits, focusing on the total well-being of our teammates, including:

  • Health Benefits: Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance
  • Financial Benefits: ESPP; 401k; Student Loan Assistance; Tuition Reimbursement
  • Mental Health & Wellness: Free Mental Health &Enhanced Advocacy Services
  • Beyond Benefits: Paid Time Off, Holidays, Preferred Partner Discounts and more.

Not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Benefit details and offerings may vary for subsidiary entities or in specific geographic locations.


Recruiting Vendor Disclosure Statement

Brown & Brown does not accept unsolicited resumes from external recruiters, recruitment vendors or employment agencies ("Recruiting Vendors"). Recruiting Vendors must have a valid written agreement and received prior written authorization from an authorized Brown & Brown representative before submitting candidates for any publicly posted role. Any unsolicited resumes submitted to Brown & Brown or its employees become the property of Brown & Brown, and no fees will be paid for such submissions. Additional information regarding this policy can be found on our careers page.

The Power To Be Yourself

As an Equal Opportunity Employer, we are committed to fostering an inclusive environment comprised of people from all backgrounds, with a variety of experiences and perspectives, guided by our Diversity, Inclusion & Belonging (DIB) motto, "The Power to Be Yourself".

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