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Quantitative Researcher

Exclusive opportunity

Onsite

Quantitative Researcher

InnovestX

Quantitative Researcher

Skills

Google Cloud PlatformSQL QueriesPythonNumPypandasData AnalysisAIAWSAzure

6 days ago

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Important information


Contract type:

Permanent

Work mode:

Onsite

Published on:

22 October 2026

What they need


What you'll do

  • Research & Analytics — Develop cross-sectional and time-series signals across markets and asset classes, translating large volumes of market data into actionable investment insights.
  • Systematic Investment Strategy — Convert research into investable strategies with realistic assumptions on transaction costs, slippage, capacity, and turnover. Build and maintain the full pipeline, from back testing through to live performance monitoring.
  • AI & Automation — Build AI-powered solutions and agentic research workflows that scale the team's research throughput and support cross-functional projects with firm-wide impact.
  • Product Development & Innovation — Work alongside Product Managers, Data Engineers, Software Engineers, Designers to transform research outputs into production-grade features within the InnovestX platform. Own initiatives end-to-end, from initial hypothesis through production deployment and ongoing performance monitoring.

Who we’re looking for

  • Bachelor's in Computer Science, Computer Engineering, Financial Engineering, Mathematics, Statistics, Physics, Economics, or a related quantitative field.
  • 0-3 years experience in a quantitative, data, or research role.
  • Strong Python for research and data analysis (pandas, NumPy), plus working knowledge of SQL.
  • Rigorous analytical and problem-solving skills, with sound judgment on what makes a result robust.
  • Ability to explain complex ideas clearly to technical and non-technical audiences.
  • Demonstrated interest in financial markets, investing, and technology.
  • Hands-on experience building with LLMs and Generative AI.
  • Familiarity with LangChain/LangGraph, MCP, vector databases, RAG, or agentic frameworks.
  • Background in quantitative investing, algorithmic trading, portfolio construction, or financial modeling.
  • Exposure to Git, APIs, cloud platforms (Azure, AWS, GCP), and software engineering practices.
  • Experience with Bloomberg, FactSet, LSEG/Refinitiv, Capital IQ, SEC filings, or earnings transcripts.
  • CFA, FRM, or CAIA charter, or progress toward one.

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