Jobs at Seeking Alpha

Analyze user behavior on websites and apps, focusing on KPIs and data visualization. Build dashboards, run A/B tests, and communicate findings to stakeholders.

As a Financial QA Editor, you will edit and publish financial content, ensuring accuracy and timeliness, while collaborating with global teams.

Execute manual functional, UI, cross-platform and end-to-end testing of web and mobile apps. Create and maintain test documentation, log defects in Jira, analyze requirements, estimate test effort, report results, and support issue investigation.

The Senior Data Analyst will analyze B2C website data, create dashboards, track KPIs, and collaborate with business stakeholders on data-driven insights.

The Senior Data Engineer designs, builds, and maintains data infrastructure for large data sets, focusing on ETL processes and collaboration with stakeholders on data projects.

The Senior Data Engineer will design, build, and maintain data infrastructure for analyzing large datasets, focusing on data management, ETL processes, and collaboration with stakeholders to align data projects with business objectives.

Provide remote technical support across Windows, macOS, and basic Linux; lead IT projects and hardware/software rollouts; manage procurement, deliveries, and vendor relationships across Europe and Ukraine; ensure IT continuity and security; educate users to reduce recurring issues.

Own and improve the retrieval layer for an LLM-powered financial platform: design hybrid (lexical+vector) search, integrate OpenAI embeddings into Elasticsearch, tune relevance with LangSmith, optimize performance and indexing for long documents, and build/maintain Python (FastAPI/Asyncio) backend services.

Own and optimize the retrieval layer for an LLM-powered financial intelligence product. Build hybrid (keyword + vector) search, integrate OpenAI embeddings with Elasticsearch, tune relevance, index long documents, and develop low-latency Python/FastAPI services to support RAG workflows.

Design, build, and maintain cross-vendor market data pipelines and QA processes. Investigate complex data issues, handle escalations, collaborate with product and engineering via JIRA, and ensure data accuracy for equities fundamentals, estimates, and market data.