Remote Security Risk Engineer (L4) & Data Analyst – Advanced Risk Modeling, Quantitative Analytics & Decision‑Support – $27/hr – arenaflex

Why arenaflex?

At arenaflex, we are redefining how the entertainment and technology sectors assess and mitigate risk. Our mission‑driven culture blends cutting‑edge data science with a relentless focus on security, enabling the company to make bold, informed decisions that keep our content, users, and brand safe. As a global leader in streaming and digital experiences, arenaflex invests heavily in innovative risk‑management frameworks, predictive analytics, and collaborative problem‑solving. If you thrive in an environment where data drives strategy, where autonomy is celebrated, and where your work directly influences the safety of millions of viewers worldwide, you have found your next career home.

Position Overview

The Security Risk Engineer (L4) & Data Analyst role is a hybrid position that sits at the intersection of risk engineering, data analytics, and strategic decision‑making. Reporting to the Head of Risk Analytics, you will design, develop, and operationalize quantitative risk models, translate complex data sets into actionable insights, and partner with cross‑functional teams to embed risk‑aware practices throughout arenaflex’s product and engineering pipelines.

Key Responsibilities

• Lead the end‑to‑end development of quantitative risk models (e.g., FAIR, Monte‑Carlo simulations, Bayesian networks) that inform security‑related product decisions.
• Collaborate with senior leadership to create data‑driven risk dashboards, executive briefings, and visualizations that clearly communicate threat exposure and mitigation effectiveness.
• Design and maintain robust data pipelines for ingesting, cleaning, and normalizing security‑related logs, incident reports, and vulnerability data from internal and external sources.
• Partner with engineering, product, and compliance teams to embed risk‑assessment controls into CI/CD workflows, ensuring security considerations are baked into every release.
• Conduct deep‑dive analyses of emerging threat vectors, translating technical findings into business‑impact narratives that guide investment priorities.
• Develop and champion best‑practice documentation, risk‑assessment playbooks, and training materials that empower non‑technical stakeholders to understand and act on risk insights.
• Participate in cross‑functional risk‑steering committees, providing quantitative input for strategic road‑maps and budget allocations.
• Continuously evaluate and integrate new data‑science tools (e.g., Python, R, SQL, Spark) and security platforms (e.g., Splunk, Elastic, Snowflake) to enhance analytical capabilities.
• Mentor junior analysts and data engineers, fostering a culture of curiosity, rigor, and continuous improvement.

Essential Qualifications

• Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, Information Security, or a related quantitative discipline.
• Experience: Minimum 4 years of professional experience in security risk analysis, data analytics, or a comparable field, with a proven track record of building and deploying quantitative risk models.
• Technical Skills: Proficiency in Python or R for statistical modeling, advanced SQL for data extraction, and familiarity with data‑visualization libraries (e.g., Tableau, Power BI, Plotly).
• Domain Knowledge: Strong understanding of security frameworks (e.g., NIST, ISO 27001), risk quantification methodologies (FAIR, CVSS), and incident‑response processes.
• Analytical Acumen: Ability to translate raw data into clear, concise, and actionable business insights, with a focus on influencing senior decision‑makers.
• Communication: Excellent written and verbal communication skills; experience presenting complex technical concepts to executive audiences.
• Collaboration: Demonstrated success working in cross‑functional, matrixed environments, influencing stakeholders without direct authority.

Preferred Qualifications

• Master’s degree or advanced certifications (e.g., CISSP, CISM, CRISC, or a data‑science credential).
• Hands‑on experience with cloud security data (AWS, GCP, Azure) and related logging services.
• Familiarity with big‑data processing frameworks (e.g., Hadoop, Spark) and modern data‑warehouse solutions.
• Experience building automated risk‑assessment pipelines using CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions.
• Knowledge of machine‑learning techniques for anomaly detection and predictive threat modeling.

Core Skills & Competencies

• Quantitative Modeling: Ability to design, validate, and interpret statistical and probabilistic models that quantify risk exposure.
• Data Engineering: Competence in constructing reliable ETL processes, data validation routines, and scalable storage solutions.
• Problem‑Solving: A proactive mindset that seeks out hidden risk patterns and proposes innovative mitigation strategies.
• Attention to Detail: Rigorous approach to data integrity, documentation, and reproducibility of analytical results.
• Inclusivity & Teamwork: Commitment to fostering an inclusive environment where diverse perspectives enhance risk insight.
• Self‑Direction: Ability to prioritize work, meet deadlines, and drive initiatives forward with minimal supervision.

Career Growth & Learning Opportunities

arenaflex invests heavily in the professional development of its employees. In this role, you will have access to:

• Mentorship from senior risk leaders and data‑science architects.
• Sponsored certifications (e.g., CISSP, FAIR, AWS Security) and tuition reimbursement for advanced degrees.
• Quarterly “Risk Innovation Days” where you can prototype new analytical approaches and present them to senior leadership.
• Opportunities to transition into senior risk‑engineering, security‑architecture, or product‑strategy roles as you demonstrate impact.

Compensation, Perks & Benefits

arenaflex offers a competitive hourly rate of $27 per hour, complemented by a comprehensive benefits package that includes:

• Health, dental, and vision coverage with multiple plan options.
• Generous paid time off, holidays, and flexible remote‑work policies.
• 401(k) matching and financial wellness programs.
• Employee assistance programs, mental‑health resources, and wellness stipends.
• Technology stipend for home‑office setup, high‑speed internet, and ergonomic equipment.
• Access to a global learning platform with courses on data science, security, leadership, and more.

Work Environment & Culture at arenaflex

Our culture is built on the pillars of autonomy, curiosity, and impact. At arenaflex you will find:

• Freedom with Responsibility: Teams are empowered to make decisions, experiment, and iterate quickly while being held accountable for outcomes.
• Data‑First Mindset: Every major decision is backed by rigorous analysis, and you will be at the heart of that process.
• Collaborative Spirit: Regular cross‑functional syncs, open‑door communication channels, and a shared commitment to learning.
• Diversity & Inclusion: A workplace where varied backgrounds, perspectives, and experiences are celebrated and leveraged for better risk insight.
• Innovation‑Driven Projects: Work on cutting‑edge security challenges that affect millions of users worldwide, from content protection to platform resilience.

How to Apply

If you are ready to harness data to shape the future of security risk management at a world‑class entertainment leader, we want to hear from you. Click the link below to submit your application, resume, and a brief cover letter outlining your most relevant experience.

Apply!

Join arenaflex and Turn Data Into Confidence

At arenaflex, your analytical expertise will directly influence how we protect our platform, our creators, and our audience. By joining our Risk Engineering team, you become a trusted advisor, a data champion, and a catalyst for smarter, safer decisions. Take the next step in your career—apply today and help us build a more resilient digital entertainment ecosystem.