Full Stack Quantitative Developer

Quantitative Foundations
• 2+ years of relevant work experience developing sophisticated modelling solutions in an institutional investment environment.
• Solid grounding in quantitative techniques across ALM, optimisation, and bond pricing, with the ability to translate models into efficient, working code under guidance from senior developers. (Investment Banking)
Python Development
• Strong Python skills with proven experience using NumPy and vectorisation to build performant, scalable calculation modules.


Job Title: Junior Full Stack Quantitative Developer
Experience: 4 to 6+ years
Role Summary:
We are looking for a Junior Full Stack Quantitative Developer with 4+ years of experience to support quantitative application development for an Investment Banking client. The ideal candidate should have experience building full-stack applications and a good understanding of quantitative finance, pricing, and risk analytics.
Key Responsibilities:
1. Develop and maintain full-stack applications for quantitative analytics and trading support.
2. Build scalable backend services and responsive web applications.
3. Implement quantitative models and integrate financial data.
4. Collaborate with quants, business analysts, and technology teams.
5. Participate in code reviews, testing, deployment, and production support.
Required Skills:
1. Backend: Python (preferred) or Java, REST APIs, Microservices
2. Frontend: React.js or Angular, JavaScript/TypeScript, HTML/CSS
3. Databases: PostgreSQL, Oracle, SQL Server, or MongoDB
4. Tools: Git, Docker, CI/CD; exposure to AWS/Azure is a plus
5. Strong programming, debugging, and problem-solving skills
Domain Knowledge:
1. Basic understanding of Investment Banking and Capital Markets
2. Exposure to Equities, Fixed Income, FX, or Derivatives
3. Knowledge of pricing models, risk analytics, and financial data is preferred