Senior Onsite Risk Analyst (Client Consultant)

About the role

Lear is seeking a Senior Onsite Risk Analyst to support its global risk and program marketing stakeholders with advanced analytics, strategic insight and proactive decision support. The analyst acts as a trusted partner to the Global Director and cross-functional leaders, turning complex data into actionable recommendations. The role is expected to be onsite at Lear HQ three or more core days per week, with occasional Marsh-supported travel to New York City and Chicago.

Key responsibilities

• Develop dashboards, analyses and visual tools that give senior stakeholders clear visibility into risk trends, exposures and performance indicators.
• Prepare recurring and ad hoc reports for the Global Director and other leadership, summarising findings, implications and recommended actions.
• Partner with finance, compliance, operations and other functions to understand priorities and data needs.
• Contribute to risk models and scenario analyses that quantify exposures, business impacts and probability-based outcomes.
• Own ad hoc analyses and special projects from scoping through delivery.
• Help maintain data governance, accuracy, consistency, security and integrity of risk data and reporting.
• Identify ways to streamline reporting, automate workflows and improve the risk analytics function.
• Stay informed on emerging tools, techniques and industry developments in risk management.

Required profile

• 5-8 years of progressive experience in analytics, risk, finance, consulting, operations or a related field.
• Insurance experience is not required; the candidate must quickly grasp business drivers, trends and exposures.
• Strong analytical, problem-solving and storytelling skills, comfortable working independently with limited supervision.
• Ability to influence through data and insight, with strong stakeholder management and communication.

Required skills

• Dashboarding, reporting, modeling or business intelligence tools (preferred)
• Risk quantification and scenario analysis