Python Developer

2 months ago


Bangalore Urban, India EMB Global Full time

ONLY APPLY IF

  • Available to join in Bangalore - Work from Office
  • Startup and product experience is a must
  • You are available to join within 15-20 days
  • B.tech from Tier I institute is a must



Basic Qualifications

  • Bachelor’s Degree in Computer Science, Engineering, or a related technical field from a Tier-I institution .
  • 4-5 years of professional, non-internship experience in software development, specifically within product startup environments.
  • Advanced programming proficiency in Python, with experience in building and deploying robust applications.
  • Strong knowledge of software architecture and design principles, including architecture patterns, design patterns, system reliability, scalability, and maintainability.
  • Deep understanding of core Computer Science principles, including object-oriented design, data structures, algorithm design, and computational complexity.
  • Proficiency in at least one modern programming language such as Python, C, C++, or Java, with a focus on performance optimization and efficiency.


Preferred Qualifications

  • B.tech Degree in Computer Science or a related technical field from a Tier I institution.
  • Extensive knowledge of professional software engineering practices, covering the entire software development lifecycle (SDLC), including coding standards, code reviews, source control management, CI/CD build processes, testing, and operational deployment.
  • Strong experience in UI/UX design and development, with an emphasis on distributed systems and web services.
  • Proven experience in collaborating effectively with cross-functional teams, including users, technical teams, and management, to gather requirements, define software features, and communicate technical designs.


About the Role

  • The team is responsible for developing advanced quantitative models to generate alpha in equity portfolios, aiming to achieve superior returns over the mid to long term.
  • You will develop and implement risk models, as well as trade execution optimization models, to enhance overall portfolio performance.
  • Design and maintain a robust back-testing infrastructure to support strategy validation, performance tracking, signal monitoring, and slippage analysis.
  • Manage and maintain databases with multiple data sources from various vendors, including automated updates, monitoring, and anomaly detection.
  • Build and maintain web scrapers to collect custom datasets for research purposes, contributing to the team’s data acquisition strategy.
  • Develop an analytics framework and data visualization toolkit to support fundamental research and streamline the extraction of actionable insights.
  • Create interactive dashboards to monitor and improve portfolio performance, providing real-time insights for informed decision-making across the fund.


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