Senior BI Reporting Engineer
Razer Inc.Kuala Lumpur, Kuala Lumpur, Malaysia2 hari lalu
Penerangan pekerjaanBachelor’s or Master’s degree in Computer Science, Data Engineering, Finance, or a related field. 4+ years of experience in data engineering or reporting, with exposure to financial reporting and transaction data preferred. Strong skills in SQL and Python, with experience in ETL orchestration tools (Airflow, dbt, Talend, or similar). Hands-on experience with AI / ML frameworks (TensorFlow, PyTorch, Scikit-learn) and familiarity with LLMs and generative AI tools. Experience integrating AI into financial or reporting workflows (e.g., anomaly detection, NLP-driven reporting). Proficiency with data visualization tools (Tableau, Power BI, QuickSight). Familiarity with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Presto, or Hadoop). Solid understanding of financial transaction data, reconciliation processes, and settlement workflows. Strong problem-solving, documentation, and communication skills. Experience applying prompt engineering and embeddings for financial data analysis. Knowledge of MLOps practices for deploying and monitoring AI-driven reporting pipelines. Exposure to fintech, payments, or e-commerce reporting systems. Seniority level : Mid-Senior level Employment type : Full-time Job function : Engineering and Information Technology Industries : Computers and Electronics Manufacturing
Razer Inc. – Bangsar South, Federal Territory of Kuala Lumpur, Malaysia
Job title : Senior Data Analyst – Risk and Compliance (Razer Gold)
Overview
Razer Gold aims to become the world’s leading payment service provider for games and digital content. The ideal candidate will be highly skilled in data analysis, risk assessment, and regulatory / compliance monitoring, with the ability to communicate insights to stakeholders at all levels.
Responsibilities
- Design, develop, and maintain automated financial reports and dashboards, applying AI-driven methods to streamline data processing and reporting.
- Leverage LLMs and AI tools for intelligent data validation, anomaly detection, reconciliation, and report generation.
- Collaborate with finance, payment operations, and engineering teams to gather requirements and implement AI-enabled reporting solutions.
- Enhance ETL processes with automation and machine learning techniques to improve financial data quality and reduce manual intervention.
- Develop reusable AI / ML components for financial reporting tasks such as fraud detection signals, transaction pattern analysis, and reconciliation workflows.
- Integrate financial reporting systems with generative AI tools (e.g., ChatGPT, LangChain) for query handling, report explanation, and natural language summaries.
- Partner with data engineers to ensure robust financial data models, pipelines, and compliance with internal and regulatory standards.
- Perform advanced troubleshooting, leveraging AI-assisted diagnostics to identify and resolve discrepancies in settlement and merchant data pipelines.
- Stay up to date with AI and big data technologies, evaluating opportunities to bring innovation into financial reporting workflows.
Qualifications
Nice to Have
Pre-Requisites / 任职要求
Are you game?
Other details
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