RAD Front Office Developer: AI-Driven Trading Tools

United States Digital Space LLC

Singapore

On-site

SGD 140,000 - 210,000

Full time

14 days+

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Job summary

United States Digital Space LLC is seeking a Front Office Developer to build and enhance quantitative trading applications and analytics tools used by Portfolio Managers, Traders and Quants. You will develop Python backend services and React/TypeScript interfaces to support pricing, risk analytics and portfolio monitoring in a fast-paced front-office environment.

The role emphasizes rapid development, collaboration with investment professionals, and leveraging AI-assisted tools to improve

Qualifications

  • Strong Python development experience, backend services or quantitative tooling.
  • Experience building front-end applications using React and TypeScript.
  • Ability to work directly with front-office stakeholders (PMs, Traders, Quants, Risk).
  • Comfortable using AI-assisted development tools to accelerate delivery.
  • Experience with cloud technologies and observability tooling.

Responsibilities

  • Design, develop and maintain internal front-office trading applications and analytical tools.
  • Build Python/FastAPI backend services supporting quantitative calculations and workflows.
  • Develop React/TypeScript user interfaces for trading applications, including dashboards and risk views.
  • Collaborate with front-office stakeholders to translate requirements into practical solutions.
  • Contribute to pricing, risk analytics, market data and portfolio analytics tooling.

Skills

Python
React/TypeScript
Backend services
AI tooling
Cloud infrastructure
SQL

Tools

SQL

Job description

United States Digital Space LLC is seeking a Front Office Developer to build and enhance quantitative trading applications and analytics tools used by Portfolio Managers, Traders and Quants. You will develop Python backend services and React/TypeScript interfaces to support pricing, risk analytics and portfolio monitoring in a fast-paced front-office environment.

The role emphasizes rapid development, collaboration with investment professionals, and leveraging AI-assisted tools to improve

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