We offer the industry’s only platform that fuses customer identity and anti-fraud solutions – customer identity management, identity verification, and fraud prevention.
We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.
About the Role:
Transmit Security is 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 you’ll 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.
What you’ll 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.
- 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.
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