Polaryx Technologies is a DeepTech Company focused on AI-driven Research, Analysis, and Decision Intelligence for next-gen active asset managers. They are seeking a Senior Data Engineer to architect systems that power automated research agents by building scalable data pipelines and designing ontology-driven architecture.

Responsibilities:

Design and implement the backend structures that represent complex financial relationships (e.g., mapping management commentary to specific KPIs or industry benchmarks)
Replace legacy, siloed data handling with robust pipelines that ingest, clean, and structure data from SEC filings, earnings transcripts, and alternative feeds in real-time
Build the backend environment where our agents operate, enabling them to 'observe' analyst workflows, access evidence packs, and refine their models based on feedback
Engineer low-latency retrieval systems that allow PMs to query vast amounts of narrative data instantly, moving beyond simple keyword search to semantic understanding

Requirements:

8+ years of experience building distributed systems in Python or Java
Experience working with financial datasets (market data, fundamental data, corporate actions)
Experience building systems that handle unstructured text (transcripts, PDFs) and converted them into structured insights
Experience with vector databases and knowledge graphs
Understanding of the nuances of the asset management workflow
Ability to design for scale, auditability, and fault tolerance
Problem-solving mindset towards the 'Excel-centric' chaos of the current finance industry

Polaryx Technologies

Open Positions (1)

Engineering

Senior Data Engineer