Required Security AnalystAbout the Role:An industry leader heading into an exciting phase of growth. In this role, you will play an integral part in shaping a new and innovative SaaS product through deep data exploration, detection engineering, core KPI tracking, and actionable insights.If you are a talented Security Data Analyst passionate about elevating trust, optimizing product performance, and leveraging next-gen technologies to protect customers, we want you on our team!What youll do:Build &
- Fine-Tune Detections: Design, build, and optimize detection rules and risk models to identify emerging fraud vectors while fine-tuning alert thresholds to minimize false positives.Drive Product &
- Threat Analytics: Perform Exploratory Data Analysis (EDA), track core product/risk KPIs, and deliver data-driven insights that directly influence product strategy.Escalation &
- Optimization: Act as an analytical escalation point for high-stakes enterprise client investigations, providing tailormade analytics to improve detection performance.Actionable Visualizations: Translate complex data trends into clear dashboards and executive-ready reports that drive action across internal and external stakeholders.AI &
- Automation Vision: Configure and deploy AI Agents &
Skills within analytical workflows to serve as a key productivity multiplier for the team.Cross-Functional Collaboration: Partner closely with Product and Analytics teams to support new feature rollouts and strategic decision-making.Requirements: What youll need:2 years of experience as a Data Analyst / Fraud Analyst / Security Data analyst in a fast-paced, data-rich SaaS environment.Detection &
- Analytics Focus: Proven experience in analyzing security/fraud data, building detection logic, and performing Exploratory Data Analysis (EDA).Strong Tech Stack: Proven expertise in BigQuery and advanced SQL. Hands-on experience with Grafana (or modern visual analytics tools).Programming: Solid familiarity with Python (Pandas/NumPy) for data manipulation and analysis.Communication &
- Stakeholder Management: High verbal and written communication skills in English-capable of leading discussions and presenting complex analytical findings to Enterprise clients and internal leaders.Problem-Solving &
- Agility: A proactive mindset with a proven ability to multitask and turn complex data into clear action items.Education: BA/BS in Statistics, Industrial Engineering, Operations Research, Computer Science, Economics, or a related quantitative field.Advantage:Experience in building, configuring, or leveraging AI Agents / AI Tools to automate workflows.Hands-on experience with cyber/fraud detection mechanisms and threat analysis.Prior experience in a modern SaaS/B2B Product Analytics role.This position is open to all candidates.
