Financial Data Engineer, AI/LLM

5 hours, 56 minutes ago
Full-time
Senior
Data Science and Analytics
Binance

Binance

Binance operates as a leading blockchain ecosystem and digital asset exchange, integrating digital technology with financial services to facilitate the trading and management of cryptocurrencies.

Capital Markets
5K-10K
Founded 2017
$10M raised

Description

  • Research, evaluate, ingest, integrate, cleanse, standardize, compute, store, and serve financial market data.
  • Design unified data models and integration frameworks across markets, calendars, time zones, currencies, identifiers, and security lifecycles.
  • Build and optimize batch and streaming data pipelines using Flink for trading, research, and AI use cases.
  • Establish data quality and service-level frameworks covering accuracy, completeness, timeliness, consistency, and traceability.
  • Develop reconciliation, anomaly detection, monitoring, alerting, replay, backfill, and fault-recovery capabilities.
  • Evaluate vendors, exchanges, APIs, file feeds, and compliance sources, and define primary, backup, and alternative sourcing strategies.
  • Define data semantics, metrics, and service contracts with product, platform, AI, and algorithm teams.
  • Improve engineering practices through metadata, lineage, automated testing, CI/CD, orchestration, capacity governance, and AI-assisted development.

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, fundamentals, financial reports, corporate actions, valuation, and market events.
  • Ability to explain the end-to-end pipeline and quality risks for at least one type of financial data.
  • Proficiency in SQL and Flink, including large-scale real-time processing, performance tuning, stability governance, and troubleshooting.
  • Proficiency in Java, Scala, or Python; familiarity with Kafka, Spark, and distributed technologies such as ClickHouse, Doris, HBase, or Elasticsearch.
  • Experience with data modeling, scheduling, metadata, lineage, governance, service levels, and cross-system consistency.
  • Experience selecting data sources or managing production ingestion, including build-versus-buy and multi-source trade-offs.
  • Strong business understanding and cross-functional collaboration skills.
  • Preferred: experience with brokerage, market data, fintech, derivatives, ETFs, indices, low-latency pipelines, financial knowledge graphs, or LLM/RAG datasets.

Benefits

  • Competitive salary and benefits.
  • Flexible working hours and remote-first work environment.
  • Casual work attire.
  • Career development opportunities in a growing global blockchain ecosystem.
  • Work with diverse international teams in a flat organizational structure.
  • Fast-paced, challenging, and varied projects.

Interested in this position?

Apply directly on the company website

Apply Now

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