Financial Data Engineer, AI/LLM

Location: Hong Kong, Singapore, or Taiwan; remote-first and work-from-home arrangement, which may vary depending on the role and team

Company

Binance operates a global blockchain ecosystem and digital-asset platform while expanding into stock and related financial market products.

What you will do

• Research, evaluate, ingest, cleanse, standardize, compute, store, and serve securities master data, market data, fundamentals, corporate actions, indices, and product and risk data.
• Build scalable unified data models and integration frameworks covering trading calendars, time zones, currencies, security identifiers, listings, lifecycles, and data corrections across markets.
• Develop batch-stream unified pipelines with Flink and optimize latency, throughput, query performance, stability, and cost.
• Establish data quality and service-level frameworks, including reconciliation, anomaly detection, monitoring, alerting, replay, backfill, and fault recovery.
• Evaluate vendors, exchanges, APIs, file feeds, and compliance data sources, and define primary, backup, and alternative source strategies with product, procurement, legal, and compliance teams.
• Define data semantics, metrics, and service contracts with trading, data platform, AI engineering, and algorithm teams while improving metadata, lineage, testing, CI/CD, orchestration, and capacity governance.

Requirements

• Master's degree or higher in Computer Science, Software Engineering, Mathematics, Statistics, or a related field.
• 5+ years of experience in data development, big data, or data platforms.
• Strong understanding of stock markets, trading mechanisms, market data, fundamentals, financial reports, corporate actions, valuation, and major market events.
• Proficiency in SQL and Flink, including large-scale real-time processing, performance tuning, stability governance, and production troubleshooting.
• Proficiency in at least one of Java, Scala, or Python, with familiarity with Kafka, Spark, and distributed storage or analytics technologies.
• Experience with data modeling, scheduling, metadata, lineage, governance, service levels, data quality, source selection, production ingestion, and cross-team data contracts.

Nice to have

• Experience with stock data at brokerages, market data services, financial data, wealth management, or fintech platforms.
• Knowledge of US stock market structure, trading calendars, pre-market and post-market sessions, corporate actions, and adjustment rules.
• Experience with derivatives, ETFs, indices, tokenized products, low-latency market data, securities master data, multi-market models, quantitative research, or backtesting systems.
• Experience with anomaly detection, knowledge graphs, financial entity alignment, or high-quality financial datasets for LLMs and RAG.

Culture & Benefits

• Remote-first, work-from-home arrangement with flexible working hours, subject to the nature of the role and team.
• Fast-paced projects within a global organization with international teams and a flat structure.
• Competitive salary and company benefits.
• Opportunities for career development, continuous learning, and technical autonomy.