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Forward Deployed Analyst at LinqAlpha builds AI-native financial research tools for hedge funds and asset managers by mapping workflows, gathering client feedback, and shaping product specs in Seoul.
About LinqAlpha는 MIT 박사들과 골드만삭스 뱅커들이 창업한 보스턴 기반의 AI 스타트업으로 헤지펀드와 자산운용사 같은 글로벌 기관투자자를 위한 AI-native 금융 리서치 제품을 만듭니다. 국내외 여러 기관 투자자들이 종목 분석, 실적·공시 해석, 투자 실사(DD), 마켓 브리핑 같은 실제 리서치 업무에 LinqAlpha를 매일 사용하고 있으며, 리서치 솔루션 제공을 넘어…
An intern Forward Deployed Engineer at a fintech company builds and improves AI agents that help institutional investors with research and trading, working end-to-end from design to production with Python/TypeScript and LLM workflows.
About LinqAlpha는 MIT 박사들과 골드만삭스 뱅커들이 창업한 보스턴 기반의 AI 스타트업으로 헤지펀드와 자산운용사 같은 글로벌 기관투자자를 위한 AI-native 금융 리서치 제품을 만듭니다. 국내외 여러 기관 투자자들이 종목 분석, 실적·공시 해석, 투자 실사(DD), 마켓 브리핑 같은 실제 리서치 업무에 LinqAlpha를 매일…
Owns the roadmap and priorities for an AI-native financial research SaaS product serving global institutional investors like hedge funds and asset managers, driving decisions from direct customer feedback.
Designs the user experience and interface for an AI-powered financial research platform used daily by global institutional investors like hedge funds and asset managers.
About [우리는 어떤 팀인가.] LinqAlpha는 MIT 박사들과 골드만삭스 뱅커들이 창업한 보스턴 기반의 AI 스타트업으로, 헤지펀드와 자산운용사 같은 글로벌 기관투자자를 위한 AI-native 금융 리서치 제품을 만듭니다. 국내외 여러 기관 투자자들이 종목 분석, 실적·공시 해석, 투자 실사(DD), 마켓 브리핑 같은 실제 리서치 업무에…
Builds AI agents that solve institutional investors' research workflows by deeply understanding their pain points and translating them into production-grade, scalable systems using Python/TypeScript, LangGraph, and cloud infrastructure.
Builds and optimizes end-to-end AI-driven financial research tools for hedge funds and asset managers, integrating APIs, search, chat, and analytics with Python/TypeScript.
Leads the design, build, and optimization of a next-gen financial data platform handling real-time and batch processing of structured and unstructured market, transaction, and disclosure data using cloud and on-prem systems.
Builds and maintains data pipelines for a hedge-fund research product, processing structured and unstructured financial data (earnings calls, filings, news) to feed AI agents and search systems.
Builds and operates production-grade AI agents for institutional investors using Python/TypeScript, cloud platforms, and LLM tooling in a fintech SaaS environment.
Builds the user-facing frontend for an AI-driven financial research agent that streams responses, assembles citations, and renders dynamic outputs like charts and spreadsheets for institutional investors using React and TypeScript.
Researches and improves LLM-based financial research agents for institutional investors, focusing on citation fidelity, hallucination suppression, and evaluation methodologies in a Korean fintech SaaS environment.
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