Financial Data Engineer (Stock & AI Data)

Location: Australia, Hong Kong, Singapore, or Taiwan; remote-first and work-from-home arrangement, subject to the role and team

Company

Binance is a global blockchain ecosystem operating a large digital-asset trading platform and building stock, financial-market, and AI products.

What you will do

• Research, evaluate, ingest, integrate, cleanse, standardize, compute, store, and serve securities master data, real-time and historical market data, fundamentals, corporate actions, indices, and product and risk data.
• Build reliable ingestion and delivery pipelines for announcements, news, research reports, and other content data used by knowledge engineering pipelines.
• Design scalable unified data models and integration frameworks covering trading calendars, time zones, currencies, security identifiers, listing relationships, lifecycles, and data corrections across markets.
• Build and optimize batch-stream unified pipelines centered on Flink for trading products, research, and AI use cases.
• Establish data quality and service-level frameworks with reconciliation, anomaly detection, monitoring, alerting, replay, backfill, and fault recovery.
• Evaluate vendors, exchanges, APIs, file feeds, and compliance sources; define source strategies and data contracts with product, procurement, legal, compliance, trading, data platform, AI, and algorithm teams.

Requirements

• Master’s degree or above in Computer Science, Software Engineering, Mathematics, Statistics, or a related field, with 5+ years of experience in data development, big data, or data platforms.
• Strong stock-market knowledge, including trading mechanisms, market data, fundamentals, financial reports, corporate actions, valuation, major market events, and investor research and decision-making workflows; ability to explain one financial-data pipeline from source to user-facing product and its key quality risks.
• Proficiency in SQL and Flink, including large-scale real-time data processing, performance tuning, stability governance, and production troubleshooting.
• Proficiency in at least one of Java, Scala, or Python; familiarity with Kafka, Spark, and ClickHouse, Doris, HBase, Elasticsearch, or other distributed storage and analytics technologies.
• Experience with data modeling, task scheduling, metadata, data lineage, data governance, service levels, and independently resolving cross-system data consistency issues.
• Ability to design reproducible reconciliation, anomaly detection, backfill, and degradation strategies with high standards for data quality.
• Experience selecting data sources or managing production ingestion, including build-versus-buy trade-offs, multi-source verification, vendor dependency, and alternative solutions.
• Strong business understanding and cross-team collaboration skills, with the ability to translate trading, risk, research, or AI problems into data models and data contracts.

Nice to have

• Experience with stock data at brokerages, market-data services, financial-data, wealth-management, or fintech platforms.
• Familiarity with US stock-market structure, trading calendars, pre-market and post-market sessions, corporate actions, and adjustment rules; experience with other stock markets is also useful.
• Experience with stock-related derivatives, ETFs, indices, or tokenized products.
• Experience building low-latency market-data pipelines, securities-master-data platforms, multi-market data models, quantitative research platforms, or large-scale backtesting data systems.
• Experience with data anomaly detection, knowledge graphs, financial entity alignment, or high-quality financial datasets for LLMs and retrieval-augmented generation.

Culture & Benefits

• Remote-first, work-from-home arrangement with flexible working hours, subject to the role and team.
• Global organization with international teams, diverse talent, and a flat structure.
• Fast-paced, challenging, and innovative projects with autonomy.
• Career development, continuous learning, and growth opportunities.
• Competitive salary and company benefits.