Senior Financial Data Engineer (Fintech)

Location: Remote in Asia

Company

Binance operates a global blockchain ecosystem offering cryptocurrency trading, financial services, payments, institutional products, and Web3 features.

What you will do

• Build and maintain end-to-end data infrastructure for stock and financial market businesses, including source evaluation, ingestion, modeling, processing, storage, and data services.
• Design scalable unified data models and ingestion frameworks for multiple markets, trading calendars, time zones, currencies, security identifiers, corporate actions, and data corrections.
• Build and optimize batch-stream data pipelines centered on Flink for trading products, research, analysis, and AI use cases.
• Establish data quality and service-level capabilities covering reconciliation, anomaly detection, monitoring, alerting, replay, backfill, and disaster recovery.
• Evaluate vendors, exchanges, APIs, and file feeds while defining primary, backup, and fallback data-source strategies with product, procurement, legal, and compliance teams.
• Partner with trading product, data platform, AI engineering, and algorithm teams to define data semantics, metrics, and service contracts.

Requirements

• Master's degree or higher in computer science, software engineering, mathematics, statistics, or a related field, plus 5+ years of experience in data engineering, big data, or data platforms.
• Strong knowledge of stock markets, trading mechanics, market quotes, fundamentals, financial reports, corporate actions, valuation, and market events.
• Proficiency in SQL and Flink, with experience in large-scale real-time processing, performance tuning, stability governance, and production troubleshooting.
• Proficiency in at least one of Java, Scala, or Python; familiarity with Kafka, Spark, and distributed storage or analytics technologies such as ClickHouse, Doris, HBase, or Elasticsearch.
• Experience with data modeling, orchestration, metadata, data lineage, governance, service levels, reconciliation, anomaly detection, backfill, and data-source selection.
• Strong business understanding and cross-team collaboration skills, including the ability to translate trading, risk, research, or AI requirements into data models and contracts.

Nice to have

• Experience with stock data at brokerages, market data services, financial data providers, wealth management, or fintech platforms.
• Knowledge of US equity market structure, trading calendars, extended hours, corporate actions, and adjustment rules.
• Experience with derivatives, ETFs, indices, tokenized products, low-latency market data, quantitative research, or backtesting systems.
• Experience with anomaly detection, knowledge graphs, financial entity alignment, or financial datasets for large language models and RAG.

Culture & Benefits

• Work from home in an innovative, results-driven global organization.
• Collaborate with international specialists in a user-centric organization with a flat structure.
• Work on fast-paced projects with autonomy and opportunities for career growth and continuous learning.
• Competitive salary and company benefits.
• The remote arrangement may vary depending on the business team's work requirements.