Software Engineer

Wise Insight

  • Stamford, Connecticut
  • 25 days ago

    Highlights

    Participate in the full software development lifecycle, from problem definition and architecture through implementation, testing, deployment, and maintenance. - Develop production-quality applications using TypeScript and modern full-stack technologies within the T3 ecosystem.

    Numbers & Facts

    LocationStamford, Connecticut

    Description

    Key Information:
    Work Model: On-site, 5 days per week
    Employment Type: Full-time
    Company: Leading Investment Firm in Stamford, Connecticut

    Key
    Responsibilities:
    - Build and maintain full-stack software applications supporting investment research and internal business processes
    - Develop production-quality applications using TypeScript and modern full-stack technologies within the T3 ecosystem
    - Write Python for scripting, automation, data processing, and internal tooling
    - Design and work with relational databases and write production-quality SQL
    - Participate in the full software development lifecycle, from problem definition and architecture through implementation, testing, deployment, and maintenance

    Requirements:
    - 2 to 7 years of professional experience in full-stack software development
    - Strong proficiency in TypeScript and modern full-stack development
    - Strong hands-on Python experience with ability to read and write Python for scripting and automation
    - Experience working with AWS and cloud-based application environments
    - Strong understanding of relational databases
    - Experience writing production-quality SQL
    - Strong software engineering fundamentals, including clean code, testing, debugging, and system design
    - Strong problem-solving skills and genuine curiosity about technology and data

    Preferred Qualifications:

    - Experience with AI engineering, LLM APIs, or generative AI applications
    - Experience building AI-powered automations or agentic workflows
    - Experience working with financial markets, investing, fintech, quantitative research, or financial technology
    - Academic background in finance, economics, mathematics, statistics, computer science, or another quantitative discipline

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