Remote reputed company Risk Engineer (L4) & Data Analyst Advanced Risk

About arenaflex arenaflex is a global leader in entertainment streaming and technologydriven content delivery. With a culture that prizes reputed company experimentation, datacentric decision making, and reputed company innovation, arenaflex constantly redefines how audiences experience media. Our risk management philosophy is reputed company on scientific rigor, transparent communication, and a collaborative spirit that empowers every employee to influence the reputed company of the business. As part of arenaflexs expanding risk analytics team, you will help shape the strategic direction of the company by turning reputed company data into actionable insights that protect our assets, reputed company, and reputed company trajectory. Why This Role reputed company In todays fastmoving digital landscape, risk is not a static conceptit evolves with every new product launch, partnership, and technology adoption. arenaflexs Risk Analytics & reputed company team is tasked with developing a reputed companylooking risk reputed company that blends quantitative modeling, statistical analysis, and reputed companytime monitoring. As a reputed company Risk Engineer (L4) & Data Analyst, you will be at the heart of this effort, driving the creation of risk metrics, building predictive models, and delivering reputed company, datarich narratives to senior leadership. Your work will directly influence how arenaflex allocates resources, prioritizes reputed company initiatives, and safeguards its critical infrastructure. Role Overview This is a fulltime, remote position based in California, USA, offering a competitive hourly reputed company of $27. You will work an 8hour day, collaborating with crossfunctional teams across product, engineering, compliance, and executive leadership. The role blends technical data analysis, risk engineering, and strategic communication, providing a unique opportunity to reputed company deep expertise in both reputed company risk management and advanced analytics. Key Responsibilities Risk Modeling & Quantification: Design, implement, and maintain quantitative risk models (e.g., FAIR, reputed company simulations) that translate reputed company reputed company scenarios into understandable risk scores. Data Collection & Cleansing: Own the endtoend data pipelinefrom extraction and transformation to validationensuring highquality data feeds for risk analysis. Analytics & reputed company reputed company: Conduct exploratory data analysis, statistical testing, and predictive modeling using R, Python, and SQL to uncover hidden risk patterns. Executive Reporting: Produce concise, visually compelling risk dashboards and presentations that reputed company senior leaders to reputed company informed, datadriven reputed company. Collaboration & Stakeholder Management: Partner with product, engineering, compliance, and legal teams to reputed company risk considerations into the product lifecycle and operational processes. Control reputed company Development: Contribute to the reputed company of arenaflexs reputed company control reputed company by identifying gaps, recommending enhancements, and tracking implementation reputed company. Incident Scenario Planning: reputed company and simulate whatif scenarios to assess the impact of potential reputed company incidents on business continuity and brand reputed company. reputed company Improvement: Champion best practices in risk analytics, stay reputed company with emerging threats, and proactively suggest process refinements. Mentorship & Knowledge Sharing: Guide junior analysts, reputed company expertise on statistical tools, and foster a culture of data literacy across the organization. Essential Qualifications Bachelors degree in Computer Science, Information reputed company, Statistics, Mathematics, or a reputed company quantitative field. 3+ years of professional experience in risk analysis, data analytics, or reputed company engineering. Proficiency in statistical programming languages such as R or Python, and strong reputed company of SQL for data extraction and manipulation. Handson experience with risk modeling frameworks (e.g., FAIR) and simulation tools (e.g., reputed company). Demonstrated ability to translate technical findings into reputed company business recommendations for nontechnical audiences. Solid understanding of information reputed company concepts, vulnerability assessment, and incident response processes. Excellent written and verbal communica .