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Manager Risk Manager Jobs in Miami Beach, FL (NOW HIRING)

As risk evolves, so has Gallagher with tools and programs to help you proactively meet these ... Proactively manage renewals and actively participate in account planning, working groups, and ...

As risk evolves, so has Gallagher with tools and programs to help you proactively meet these ... Proactively manage renewals and actively participate in account planning, working groups, and ...

With regional offices across the United States, Moss focuses on construction management, solar EPC ... POSITION SCOPE AND ORGANIZATIONAL IMPACT The Risk Analyst is a key member of the Risk Management ...

With regional offices across the United States, Moss focuses on construction management, solar EPC ... POSITION SCOPE AND ORGANIZATIONAL IMPACT The Risk Analyst is a key member of the Risk Management ...

Showing results 41-60

Manager Risk Manager information

See Miami Beach, FL salary details

$22.7K

$60.6K

$101.2K

How much do manager risk manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for manager risk manager in Miami Beach, FL is $60,585.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,400.00 and $68,100.00 per year, depending on experience, location, and employer.

What does a risk manager do?

A Manager Risk Manager is responsible for identifying, assessing, and mitigating potential risks that could impact an organization’s operations, reputation, or profitability. They develop risk management strategies, policies, and procedures to minimize financial losses and ensure compliance with regulations. Additionally, they often lead a team of risk professionals, provide training, and work with other departments to implement effective risk controls.

What are some common challenges faced by a risk manager when implementing risk management frameworks across different departments?

A Manager Risk Manager often encounters challenges such as varying levels of risk awareness and compliance among departments, resistance to change, and difficulty in standardizing processes. Coordinating efforts across teams with different priorities requires strong communication and negotiation skills. Additionally, keeping up with evolving regulations and ensuring all teams are adequately trained to identify and mitigate risks is an ongoing responsibility. Addressing these challenges typically involves building strong relationships, providing targeted training, and regularly reviewing risk management processes for effectiveness.

What are the key skills and qualifications needed to thrive as a risk manager, and why are they important?

To thrive as a Risk Manager, you need strong analytical skills, a solid understanding of risk assessment methodologies, and typically a degree in finance, business, or a related field. Familiarity with risk management software, regulatory compliance frameworks, and certifications such as FRM or CRM are commonly required. Excellent communication, decision-making, and leadership abilities help you collaborate across departments and guide risk mitigation strategies. These skills and qualifications are vital for proactively identifying threats and ensuring the organization's stability and compliance.

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

AspectManager Risk ManagerRisk Analyst
CredentialsCertifications like FRM, CRM, or CPA often preferredSimilar certifications may be beneficial but less required
Work EnvironmentOversees risk management teams, develops strategies, and manages risk policiesAnalyzes data, assesses risks, and supports risk management decisions
Employer & Industry UsageCommon in finance, insurance, and corporate sectorsUsed across finance, banking, and consulting firms

The Manager Risk Manager typically leads risk management efforts, develops policies, and manages teams, requiring advanced certifications and leadership skills. In contrast, the Risk Analyst focuses on data analysis, risk assessment, and supporting risk strategies. Both roles are vital in risk management but differ in scope, responsibilities, and seniority.

Do risk managers make good money?

Risk managers typically earn competitive salaries that vary based on experience, industry, and location. According to industry data, median annual pay ranges from $80,000 to over $130,000, with senior roles and certifications like FRM or CRM often commanding higher compensation. The role requires strong analytical skills and knowledge of risk assessment tools.

How much do risk managers earn?

Risk managers typically earn a median annual salary of around $100,000, with salaries ranging from approximately $70,000 to over $150,000 depending on experience, industry, and location. Advanced certifications like the FRM or CRM can also influence earning potential.

What cities near Miami Beach, FL are hiring for Manager Risk Manager jobs?

Cities near Miami Beach, FL with the most Manager Risk Manager job openings:

AI and Agentic AI Risk Management Senior Specialist

Nubank

Miami, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 16 days ago


Job description

About Nu
Nu is the leading digital bank in Latin America, serving 135 million customers across Brazil, Mexico, and Colombia. The company has been leading an industry transformation by leveraging data and proprietary technology to develop innovative products and services.
Guided by its mission to fight complexity and empower people, Nu caters to customers' complete financial journey, promoting financial access and advancement with responsible lending and transparency. The company is powered by an efficient and scalable business model that combines low cost to serve with growing returns.
Nu's impact has been recognized in multiple awards, including Time 100 Most Influential Companies, Fast Company's Most Innovative Companies, and Forbes World's Best Banks.
Visit our Institutional Page
About the team
At Nubank we heavily rely on Data, Machine Learning, and increasingly on Generative and Agentic AI to drive our strategy and deliver the best experience and products to our customers. The Model Risk team plays a crucial role in ensuring the risks associated with our models and AI systems are understood and under control. We are now building a dedicated AI Risk Management capability to address the emerging risks of advanced AI - including LLM-powered and autonomous agentic systems - with a focus on AI quality, model and agent behavior, and the platform controls that keep these systems safe and reliable across internal and customer-facing use cases.
About the role
This is a senior, hands-on technical position. You will help define what model risk management looks like for AI and Agentic AI at Nubank - building and enhancing the frameworks, not just inheriting them. You will perform independent assessments of AI systems for quality, behavior, and robustness, and help design the guardrails and platform-level controls that govern their safe use. You'll act as a credible technical peer to first-line engineering and AI development teams, providing practical guidance on AI risk without slowing responsible innovation. This role focuses on AI quality, agentic behavior, and platform controls; cybersecurity, data privacy, and fraud-specific matters sit with partner functions and are out of scope.
What you will do
AI Risk Framework & Governance
  • Build and continuously enhance the risk management framework for AI and Agentic AI systems, including inventory standards, assessment methodologies, control design, and issue management.
  • Inventory and map Nubank's AI use cases to surface gaps, materiality, and the most critical risks, and define prioritized mitigation actions.
  • Assess whether first-line monitoring is effective, proportionate to model risk, and sufficient to keep AI systems fit for purpose over time.

Independent AI Assessment
  • Perform independent technical assessments across generative AI, and agentic workflows, covering data, assumptions, methodology, testing, behavior, and monitoring.
  • Assess risks in LLM-powered applications, including RAG pipelines, tool use, autonomy boundaries, model/agent quality, human oversight, and hallucination risk.
  • Identify and document model limitations, failure modes, and emerging AI risks, including drift, instability, fairness, and robustness concerns.

Controls, Platform & Enablement
  • Influence first-line teams on platform architecture and embedded controls for the safe deployment and monitoring of AI.
  • Build Key Risk Indicators (KRIs) and metrics for continuous monitoring of AI risk.
  • Develop tools, evals, analyses, and playbooks (including AI-enabled automation) to improve the speed, scale, and effectiveness of AI governance and validation.

Advisory & Advocacy
  • Serve as a trusted advisor across the AI/ML lifecycle, evaluating new use cases for materiality and governance requirements prior to deployment.
  • Discuss and report AI risk status and independent opinions to stakeholders, including senior managers and, where relevant, regulators.
  • Champion AI risk management as a strategic enabler of safe and scalable AI adoption, and build AI risk literacy across engineering, product, and risk teams.
  • Work in a multicultural, diverse, and highly skilled environment.

Requirements we are looking for
  • Education: A bachelor's or master's degree in a quantitative field (computer science, data science, statistics, mathematics, engineering, or related).
  • Hands-on AI/ML experience: A track record developing or validating AI/ML models and systems, ideally a candidate who has moved from an AI / Machine Learning Engineer background into model risk, governance, or risk management. You don't need to have trained foundation models from scratch, but you need solid, current technical depth.
  • Strong technical foundations: Proficiency in Python, SQL, and modern ML tooling; familiarity with LLMs, RAG systems, prompt engineering, and AI agent frameworks.
  • Evaluation and testing: Experience evaluating and testing ML and generative AI systems, including custom evals, benchmarking, stress testing, and drift/degradation monitoring.
  • Risk management experience: Demonstrated experience in risk identification, control definition, and framework building; understanding of model risk governance principles and independent effective challenge.
  • Data skills: Experience working with large datasets and building dashboards and analyses to support risk visibility.
  • High agency and adaptability: Comfortable operating in ambiguity, synthesizing fragmented technical and business context into a clear view of how complex AI systems actually work, and making sound judgments without a complete playbook.
  • Influencing skills: Able to engage and align stakeholders across first and second lines of defense as a credible technical peer.
  • Communication: Strong written and verbal skills, you can explain AI risk to a data scientist and to a regulator, and use different language for each.
  • Advanced or fluent English: You will meet with partners and stakeholders across countries and prepare documentation and presentations in English.
  • PLUS: Experience in a 2nd or 3rd line of defense.
  • PLUS: Familiarity with regulatory Model Risk Management and AI frameworks (e.g., SR 11-7 / SR 26-2 / OCC 2011-12, NIST AI RMF, EU AI Act).

Total compensation includes base salary, RSUs and benefits. Base salary range: US$108k - US$131k.
Benefits
  • Opportunity of earning equity at Nu
  • Medical Insurance
  • Dental and Vision Insurance
  • Life Insurance and AD&D
  • Extended maternity and paternity leaves
  • Nucleo - Our learning platform of courses
  • NuLanguage - Our language learning program
  • NuCare - Our mental health and wellness assistance program
  • Extended maternity and paternity leaves
  • 401K
  • Saving Plans - Health Saving Account and Flexible Spending Account
  • Work-from-home Allowance
  • Relocation Assistance Package, if applicable.
Work Model for this Role
Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration.
For more details, visit https://building.nubank.com/nu-hybrid-work-model/
Our recruitment process may involve the use of artificial intelligence-enabled tools, such as automated interview transcription and analysis, to support the evaluation process. Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.