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Full Stack Quantitative Developer

Delivery Centric Technologies

Mumbai, Maharashtra, India · 정규직

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경험
4년 이상
샐러리
채용 공고
1
게시됨
10시간 전
작업 모드
사무실에서
교육
졸업생 누구나
적임
Applications are welcome from any graduate.
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About the Role

We are seeking a Junior Full Stack Quantitative Developer with over 4 years of professional experience to enhance our quantitative application development efforts. The successful candidate will have solid exposure to designing and implementing full-stack software solutions, paired with a foundational understanding of concepts in quantitative finance, pricing mechanisms, and risk analytics.

Key Responsibilities

  • Design, develop, and maintain full-stack applications that support quantitative analytics and trading operations.
  • Create scalable backend services along with interactive and responsive frontend web interfaces.
  • Implement and integrate quantitative financial models and relevant data sources.
  • Work collaboratively with quantitative analysts, business analysts, and technical teams to deliver optimal solutions.
  • Engage in code reviews, software testing, deployment procedures, and ongoing maintenance in production environments.

Required Skills

  • Backend development expertise preferably in Python or alternatively Java, including REST API and microservices architecture.
  • Frontend development skills using React.js or Angular frameworks and proficiency in JavaScript/TypeScript and HTML/CSS.
  • Experience with relational and non-relational databases such as PostgreSQL, Oracle, SQL Server, and MongoDB.
  • Familiarity with version control (Git), containerization (Docker), continuous integration and deployment pipelines (CI/CD), along with beneficial exposure to cloud platforms like AWS or Microsoft Azure.
  • Strong analytical abilities including coding, debugging, and problem-solving.

Domain Expertise

  • Basic knowledge of Investment Banking and Capital Market operations.
  • Exposure to financial instruments like equities, fixed income securities, foreign exchange, or derivatives.
  • Understanding of pricing models, risk analytics, and handling of financial data is advantageous.

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