Data Visualization Specialist

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MultiBank Group

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

💸 Finance

💳 Fintech

₿ Crypto

Finance • Fintech • Crypto

MultiBank Group is a global financial services firm founded in California in 2005 that provides retail and institutional trading in FX, CFDs, commodities, stocks and crypto. It operates regulated brokerage and exchange businesses (including mb. io and MEX Exchange), offers institutional liquidity and prime brokerage services, and runs affiliate and franchise programs for partners. The group promotes fintech innovation—blockchain tokenization of assets, a native token (MBG), AI-driven trading tools, and a mobile/web trading ecosystem—while servicing over 2 million clients across 25+ offices and multiple regulated entities.

📋 Description

• 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). • Develop AI-integrated visualization layers that surface outputs from machine learning models such as churn prediction scores, LTV forecasts, behavioral clustering, and anomaly detection signals. • Implement semantic data layers and metric definitions using tools like dbt or LookML to ensure consistency across reporting. • Build natural language interfaces on top of dashboards using LLMs (e.g., OpenAI APIs, AWS Bedrock) to enable business users to query data conversationally. • Develop automated insight generation systems that summarize trends, highlight anomalies, and recommend actions using NLP/LLMs. • 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.

🎯 Requirements

• Advanced proficiency in BI tools (Power BI, Tableau, Looker) with experience embedding dashboards and customizing via APIs. • Strong SQL with experience optimizing complex queries across large-scale datasets (billions of rows). • Experience working with modern data stacks: Warehouses: Snowflake, Redshift, BigQuery; Transformation: dbt; Streaming: Kafka, Kinesis. • Familiarity with Python for data manipulation (pandas, NumPy) and light backend integration. • Exposure to ML outputs and statistical concepts (classification, regression, clustering, anomaly detection). • Experience integrating LLMs / NLP pipelines into reporting workflows. • Understanding of data modeling (star/snowflake schemas) and performance tuning. • Experience with API integrations and embedding analytics into internal platforms.

🏖️ Benefits

• 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.