Job Title: Senior Backend Engineer Company Name: Polaryx Technologies Job Url: https://www.linkedin.com/jobs/view/4375541918/?eBP=NOT_ELIGIBLE_FOR_CHARGING&trk=flagship3_search_srp_jobs&refId=7k3DlyD5tatMOG9n%2BmoB9w%3D%3D&trackingId=RXSQbBd%2FEeGk53oslECYeg%3D%3D Job Description: Polaryx Technologies Senior Backend Engineer Greenwich, CT · 13 hours ago · 26 applicants Company review time is typically 1 week Remote Full-time No longer accepting applications Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features with Premium. Try Premium for Rs 0 Show match details Tailor my resume Help me stand out About the job Company Description DeepTech Company focused on AI-driven Research, Analysis, and Decision Intelligence for Next-gen active asset managers. Role: Senior Backend Engineer (Financial Data Systems) The Mission: Asset management is undergoing its fastest structural shift since the Bloomberg terminal. Polaryx Technologies is building the infrastructure for this shift. We are moving the industry away from fragmented, ad-hoc spreadsheets toward scalable decision intelligence. We are seeking a Senior Backend Engineer with deep financial domain experience to architect the systems that power our automated research agents. Why This Role: You will not just be building APIs; you will be translating complex financial concepts into code. Our "brain" relies on a sophisticated domain-specific ontology that links companies, management teams, KPIs, and causal chains. We need you to build the scalable data pipelines that feed this ontology, ensuring our AI agents have the structured, high-integrity data to perform narrative forensics and simulations. What You Will Build Ontology-Driven Architecture: Design and implement the backend structures that represent complex financial relationships (e.g., mapping management commentary to specific KPIs or industry benchmarks). High-Velocity Data Pipelines: 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. Agent Infrastructure: Build the backend environment where our agents operate, enabling them to "observe" analyst workflows, access evidence packs, and refine their models based on feedback. Search & Retrieval Systems: Engineer low-latency retrieval systems that allow PMs to query vast amounts of narrative data instantly, moving beyond simple keyword search to semantic understanding. Who you are Finance-Native Engineer: You understand that a ticker is not just a string. You have experience working with financial datasets (market data, fundamental data, corporate actions) and understand the nuances of the asset management workflow. System Architect: You have 8+ years of experience building distributed systems in Python or Java. You know how to design for scale, auditability, and fault tolerance. Data Pipeline Expert: You have built systems that handle unstructured text (transcripts, PDFs) and converted them into structured insights. Experience with vector databases and knowledge graphs. Problem Solver: You look at the "Excel-centric" chaos of the current finance industry and see an engineering challenge you want to solve. Why Join Polaryx Technologies? High Impact: We work together with leading next-gen hedge funds, giving you direct access to high-level feedback and the opportunity to build tools that manage billions in assets. Hard Problems: We aren't just summarizing text; we are building systems that perform reasoning, consistency checking, and hypothesis testing. The Next Era: Help define the AI-native era of investment research, moving the industry from "data terminals" to "intelligence engines." Requirements added by the job poster • 4+ GPA • 2+ years of work experience with Applied Mathematics • Master's Degree