Financial Data Engineer, AI/LLM

New

BinanceFintech / Blockchain

Asia / Taiwan, Taipei / Hong KongFull-TimeSenior

Salary not disclosed

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Job Details

Master's degree or above in Computer Science, Software Engineering, Mathematics, Statistics, or related field.
5+ years of experience in data development, big data, or data platforms.
Deep understanding of stock markets, trading mechanisms, fundamentals, corporate actions, and financial data pipelines.
Proficient in SQL and Flink for large-scale real-time data processing and performance tuning.
Proficient in at least one of Java, Scala, or Python.
Experience with distributed storage and analytics technologies such as Kafka, Spark, ClickHouse, Doris, HBase, or Elasticsearch.
Familiarity with data modeling, task scheduling, metadata management, and data governance.
Ability to design systems for data reconciliation, anomaly detection, backfill, and degradation strategies.
Experience with data source selection and evaluating build vs. buy trade-offs.
Strong ability to translate business and research requirements into scalable data models.

Conduct research, technical evaluation, ingestion, integration, and standardization of diverse financial market data.
Design scalable unified data models that accommodate different market trading calendars, time zones, and security identifiers.
Build and optimize batch-stream unified data pipelines using Flink to support trading products and AI scenarios.
Establish comprehensive data quality frameworks including automated reconciliation, anomaly detection, and monitoring.
Evaluate data sources and collaborate with product and compliance teams on usage, retention, and redistribution boundaries.
Define clear data semantics and metrics in partnership with AI, algorithm, and trading product teams.
Drive improvements in metadata management, data lineage, and automated testing to enhance engineering efficiency.

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