Multibank Group - Data Visualization Specialist
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Requirements
• Advanced proficiency in BI tools (Power BI, Tableau, Looker) with experience embedding dashboards and customizing via APIs. • BI tools • Strong SQL with experience optimizing complex queries across large-scale datasets (billions of rows). • Experience working with modern data stacks: • modern data stacks • Warehouses: Snowflake, Redshift, BigQuery • Transformation: dbt • Streaming: Kafka, Kinesis • Familiarity with Python for data manipulation (pandas, NumPy) and light backend integration. • Python for data manipulation • Exposure to ML outputs and statistical concepts (classification, regression, clustering, anomaly detection). • ML outputs and statistical concepts • Experience integrating LLMs / NLP pipelines into reporting workflows. • LLMs / NLP pipelines • Understanding of data modeling (star/snowflake schemas) and performance tuning. • data modeling (star/snowflake schemas) • Experience with API integrations and embedding analytics into internal platforms. • API integrations
Responsibilities
• Design and build scalable, low-latency dashboards that ingest data from data warehouses (e.g., Snowflake, Redshift, BigQuery) and real-time pipelines (e.g., Kafka, Kinesis). • scalable, low-latency dashboards • Develop AI-integrated visualization layers that surface outputs from machine learning models such as: • AI-integrated visualization layers • churn prediction scores • behavioral clustering • anomaly detection signals • Implement semantic data layers and metric definitions using tools like dbt or LookML to ensure consistency across reporting. • semantic data layers • Build natural language interfaces on top of dashboards using LLMs (e.g., OpenAI APIs, AWS Bedrock) to enable business users to query data conversationally. • natural language interfaces • Develop automated insight generation systems that summarize trends, highlight anomalies, and recommend actions using NLP/LLMs. • automated insight generation systems • Optimize dashboard performance through efficient query design, caching strategies, and incremental data models. • Integrate visualization tools with backend APIs and ML services to enable dynamic, real-time updates. • Partner with ML Engineers to interpret model outputs and design visualization patterns that reflect uncertainty, confidence intervals, and predictions accurately. • Establish data governance practices including lineage tracking, metric validation, and monitoring. • data governance practices
Benefits
• Work with one of the world’s leading financial derivatives institutions. • Competitive salary plus performance-based incentives. • Access to a dynamic, international, and fast-growing environment. • Strong opportunities for career progression within a global financial group. • Be part of a business committed to innovation, excellence, and long-term growth. • Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance. • MultiBank Group combines prime liquidity, cutting-edge technology, and first-class service to deliver advanced trading platforms to clients worldwide. • Our mission is to provide exceptional products and services to our clients — and we continue to invest heavily in technology and regulation to benefit our customers and the financial industry as a whole. • As the most heavily regulated financial derivatives group, MultiBank Group maintains an unblemished regulatory record with all its regulators. • Positions available across our 25+ global offices — Dubai, Hong Kong, Singapore, London, Sydney, and more. 🌐 Learn more: www.multibankgroup.com • 🌐 Learn more: • www.multibankgroup.com
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