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Senior Risk Analyst, Americas

Greenwich, CT - Hybrid

WHO WE ARE:

Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders.

WHO YOU ARE:
You’re a strategic, detail-oriented risk professional who thrives at the intersection of data, governance, and innovation. You understand that strong risk oversight enables smarter decision-making and sustainable growth. You have hands-on experience in enterprise risk assessments, reporting and frameworks, a solid grasp of fraud and model risk concepts, and a curiosity for how emerging technologies, especially AI and analytics, reshape the risk landscape. You’re collaborative, intellectually curious, and comfortable influencing across all levels of the organization.

WHAT YOU’LL DO:
Governance & Frameworks

  • Strengthen and maintain the Enterprise Risk Management Framework (ERMF) to ensure consistent risk identification, assessment, and reporting.
  • Support risk committee governance including materials, dashboards, and executive-level reports for Management and Board committees.
  • Maintain and enhance risk policies, standards, and procedures, ensuring alignment with regulatory and internal governance requirements.
  • Coordinate Risk and Control Self-Assessments (RCSAs) and enterprise risk taxonomy updates across business functions. Perform RCSAs as needed.

Risk Reporting & Analytics

  • Develop and produce enterprise-wide risk reports, dashboards, and Key Risk Indicators (KRIs) that provide actionable insight.
  • Aggregate and analyze data from multiple risk domains to identify trends, emerging risks, and concentrations.
  • Leverage business intelligence tools (Power BI, Tableau) to improve visualization and automate risk reporting.
  • Partner with teams to translate risk data into clear, concise narratives for senior leadership.

Fraud Risk Oversight

  • Partner with Operations and Compliance to assess fraud risk exposures across processes, systems, and products.
  • Support the design of fraud risk frameworks, metrics, and reporting to track trends and control effectiveness.
  • Review fraud detection systems and analytics, contributing to governance and escalation protocols.

Model & AI Risk Management

  • Support governance and oversight of model and AI/ML risks, including validation, monitoring, and performance reporting.
  • Collaborate with Data and Technology teams to promote responsible AI use and adherence to model governance standards.
  • Track and report on model inventory, performance, and emerging AI-specific risks such as bias, explainability, or hallucinations.

Continuous Improvement & Risk Culture

  • Identify and implement process enhancements to improve efficiency, transparency, and consistency in risk management.
  • Champion risk culture by supporting training, communication, and awareness initiatives across the organization.

WHAT YOU’LL NEED:
Education & Experience

  • Bachelor’s degree in Risk Management, Finance, Business, Data Analytics, or a related discipline.
  • 8+ years of experience in Enterprise Risk, Operational Risk, Fraud Risk, and/or Model Risk, ideally in a regulated or technology-driven industry.
  • Demonstrated experience with risk governance and reporting; familiarity with AI or model governance frameworks is strongly preferred.

Technical Skills

  • Proficiency in GRC tools (e.g., AuditBoard, Archer, MetricStream) and data visualization platforms (Power BI, Tableau).
  • Advanced Excel, Visio and PowerPoint skills for analysis and reporting.
  • Understanding of risk frameworks (COSO ERM, ISO 31000) and regulatory guidance on model and fraud risk management.
  • Familiarity with data analytics or coding (SQL, Python) a plus.

Professional Competencies

  • Strong analytical, writing, and presentation skills. Detail oriented.
  • Ability to synthesize complex information into clear insights.
  • Collaborative mindset with the ability to influence without authority.
  • Organized, proactive, and comfortable managing competing priorities.

WHAT’S IN IT FOR YOU?

  • Opportunity to shape the evolution of enterprise risk governance and reporting in a fast-paced, innovative environment.
  • Exposure to cutting-edge risk domains, including AI governance and fraud analytics.
  • Direct visibility with senior leadership and Board-level committees.
  • A collaborative culture that values curiosity, accountability, and continuous learning.
  • Competitive compensation, professional development support, and flexible work options.

Zinnia offers excellent career progression and competitive compensation with the goal of retaining and growing talented team members. The salary range for this role is a good faith estimate, it is estimated based on what a successful candidate might be paid in certain Company locations. The salary range for this position is $120,000 – $160,000. All offers presented to candidates are carefully reviewed to ensure fair, equitable pay by offering competitive salaries that align with the individual’s skills, education, experience, training, and geographic location. The range may vary above or below the stated amounts. We offer great benefits, including health/dental insurance, parental leave, profit sharing, 401(k), incentive/bonus opportunity, tuition reimbursement, and so much more. We’re looking for the best and brightest innovators in the industry to join our team. At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.

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