Key Responsibilities
● Quantitative Model Development: Design and implement quantitative models for
generating alpha in equity portfolios, focusing on long-term superior returns.
● Risk Modeling and Optimization: Build robust risk models and optimal trade execution
frameworks to minimize slippage and enhance trade performance.
● Back-Testing and Monitoring: Develop comprehensive back-testing infrastructure for
strategy validation, performance tracking, and signal performance analysis.
● Data Management: Create and maintain databases with automated updates for diverse
datasets from multiple vendors. Implement monitoring jobs and anomaly detection
mechanisms.
● Web Scraping for Custom Data: Develop advanced web scrapers to collect custom
datasets for in-depth research analysis.
● Data Analytics and Visualization: Build analytics frameworks and interactive
dashboards to enhance fundamental research, provide insights, and visualize portfolio
performance across the fund.
Must-Have Skills:
● Technical Proficiency:
○ 4-5 years of non-internship professional software development experience
○ Advanced programming experience with Python
○ Solid understanding of object-oriented design, data structures, algorithm design,
and complexity analysis.
○ Experience with database technologies like SQL, PostgreSQL.
Key Responsibilities
● Quantitative Model Development: Design and implement quantitative models for
generating alpha in equity portfolios, focusing on long-term superior returns.
● Risk Modeling and Optimization: Build robust risk models and optimal trade execution
frameworks to minimize slippage and enhance trade performance.
● Back-Testing and Monitoring: Develop comprehensive back-testing infrastructure for
strategy validation, performance tracking, and signal performance analysis.
● Data Management: Create and maintain databases with automated updates for diverse
datasets from multiple vendors. Implement monitoring jobs and anomaly detection
mechanisms.
● Web Scraping for Custom Data: Develop advanced web scrapers to collect custom
datasets for in-depth research analysis.
● Data Analytics and Visualization: Build analytics frameworks and interactive
dashboards to enhance fundamental research, provide insights, and visualize portfolio
performance across the fund.
Must-Have Skills:
● Technical Proficiency:
○ 4-5 years of non-internship professional software development experience
○ Advanced programming experience with Python
○ Solid understanding of object-oriented design, data structures, algorithm design,
and complexity analysis.
○ Experience with database technologies like SQL, PostgreSQL.
Key Responsibilities
● Quantitative Model Development: Design and implement quantitative models for
generating alpha in equity portfolios, focusing on long-term superior returns.
● Risk Modeling and Optimization: Build robust risk models and optimal trade execution
frameworks to minimize slippage and enhance trade performance.
● Back-Testing and Monitoring: Develop comprehensive back-testing infrastructure for
strategy validation, performance tracking, and signal performance analysis.
● Data Management: Create and maintain databases with automated updates for diverse
datasets from multiple vendors. Implement monitoring jobs and anomaly detection
mechanisms.
● Web Scraping for Custom Data: Develop advanced web scrapers to collect custom
datasets for in-depth research analysis.
● Data Analytics and Visualization: Build analytics frameworks and interactive
dashboards to enhance fundamental research, provide insights, and visualize portfolio
performance across the fund.
Must-Have Skills:
● Technical Proficiency:
○ 4-5 years of non-internship professional software development experience
○ Advanced programming experience with Python
○ Solid understanding of object-oriented design, data structures, algorithm design,
and complexity analysis.
○ Experience with database technologies like SQL, PostgreSQL.
We are seeking a skilled and detail-oriented JMeter Test Engineer to join our Quality Assurance team. The ideal candidate will be responsible for creating, executing, and maintaining performance, load, and stress tests using Apache JMeter. This role involves working closely with developers, business analysts, and other stakeholders to ensure that our software applications meet high performance standards and deliver optimal user experiences.
A data modeler ensures an organization’s data is organized correctly and optimized into an information system to help achieve critical objectives. Learn more about what the data modeling career entails and the steps you can take to become a data modeler.
The ideal candidate will have a strong background in building and managing CI/CD pipelines using Azure DevOps, as well as deploying infrastructure to Azure using ARM templates and Bicep.
This role requires a deep understanding of DevOps practices, cloud infrastructure, and automation.
Let's Collaborate.
I'd love to connect with you to talk about your project and possible partnership
Full stack mobile (iOS, Android) and web app design and development agency
Codevian
