Senior Fraud Detection Architect
2 weeks ago
RaptorX, a fintech startup pioneering real-time fraud detection and prevention for banks, financial institutions, and digital platforms, is seeking a seasoned Senior Fraud Detection Architect to lead the technical vision of its high-performance fraud detection platform.
Job OverviewThis role involves designing and overseeing the full-stack architecture of our high-performance fraud detection platform, ensuring seamless integration of advanced AI models and data processing pipelines.
- Key Responsibilities:
- Define and oversee the full-stack architecture, covering front-end, back-end, and AI/ML integration, optimized for low latency and high transaction volumes.
- Lead and mentor a team of engineers, manage backlogs, and prioritize tasks, driving excellence in both technical delivery and team collaboration.
- Implement and optimize machine learning models for real-time fraud detection and anomaly scoring.
- Architect data pipelines using tools like Apache Airflow, PySpark, and Kafka to handle real-time and batch data processing across multiple sources.
- Design systems that meet stringent security requirements and financial compliance standards, including data encryption, access control, and logging.
- Ensure the platform can scale effectively to handle millions of transactions, optimizing data flows and service orchestration for high availability.
RaptorX leverages advanced AI models for anomaly detection, and high-throughput architecture to stay ahead of sophisticated fraud patterns. With influential backers from Google, Microsoft, and Peak XV Partners, we are poised to redefine the fintech landscape.
Requirements- A minimum of 7-8 years of experience in software engineering, with at least 2-3 years in a technical lead or architect role.
- Full-stack knowledge: proficiency in front-end frameworks (React, Angular) and back-end languages like Python, Java, or Node.js.
- Machine learning models: familiarity with deploying and optimizing models such as GNNs, and other advanced models.
- Data processing and orchestration: experience with data engineering tools, including Apache Airflow for orchestration, PySpark for big data processing, and Apache Kafka for streaming.
- Cloud and DevOps: strong knowledge of cloud infrastructure (AWS, Azure), containerization (Docker, Kubernetes), and CI/CD pipelines (Jenkins, GitLab CI/CD).
- Database expertise: proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB) and experience in data modeling for high-frequency applications.
As a key member of our team, you will play a pivotal role in shaping a platform that actively fights fraud and secures financial transactions. The estimated salary range for this position is $250,000 - $350,000 annually, based on industry standards and location.
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