This global Investment Manager are building their next generation enterprise Reference Data suite, a strategic system that will become the source of truth for security master, issuer, pricing, corporate actions, benchmarks, and instrument lifecycle data across the firm.
They seek an exceptional Lead Software Engineer to help define the architecture, set the technical direction, and build this greenfield platform. You will work alongside Portfolio Managers, Quant Researchers, Trading Technology, Risk, Operations, and Compliance teams to create a world-class reference data solution capable of supporting discretionary and quantitative systematic trading.
Responsibilities include
- Lead the design and development of a modern Reference Data Suite
- Define architecture, technology standards, and engineering best practices.
- Build highly scalable services for - Security Master, Instrument Master, Corporate Actions, Benchmark & Index Data, Data Quality & Validation
- Design data ingestion frameworks connecting to vendors such as Bloomberg, Refinitiv, ICE, S&P Global, MSCI and FactSet.
- Create flexible data mastering and golden-source models.
- Build APIs and event-driven distribution mechanisms
- Establish data governance, lineage, observability and audit capabilities.
- Mentor engineers and contribute to a high-performance engineering culture.
- Partner with senior stakeholders to translate business objectives into scalable technology solutions.
Essential skills and experience required
- 7+ years of experience as a Software / Data Engineer post degree in a STEM field
- Current or Previous experience building Reference Data solutions across the buyside / sellside
- Experience implementing data governance, lineage and data quality frameworks.
- Familiarity with vendor data feeds such as Bloomberg, Refinitiv, ICE, FactSet or S&P.
- Expertise in writing high-performance Python code inc. asyncio and multiprocessing
- FastAPI / RestAPI experience
- PostgreSQL / Aurora PostgreSQL or ClickHouse experience
- High-performance messaging tech - Amazon MSK / Kafka / Aeron
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