Job Description

Responsibilities:

We are seeking a skilled Quantitative Developer to support our investment research and portfolio management team. The role focuses on building and maintaining robust research pipelines, ensuring coding best practices, and delivering scalable, production grade implementation of quantitative models. This is a hands-on development role requiring close collaboration with quantitative researchers and portfolio managers.Build, maintain, and optimize data pipelines for financial and economic datasets Enforce best practices in coding, testing, and version control (e.g., Git, CI/CD workflows) Write unit tests and documentation to ensure model reliability and transparency Familiarity with financial markets and portfolio analytics Partner with quantitative researcher to understand the model requirements and improve research workflow Data management: Proper implementation of data models, pipelines, warehouse designs, and ETL principles in partnership with Technology team Data Quality Assurance and Production Model Experience: Ensuring information received and delivered is accurate and timely. Partner with Technology team to ensure production code is written efficiently and is run with proper oversight

Qualifications:
Bachelor's or Master's Degree in Computer Science, Engineering or related quantitative field with 4-6 years of work experience Progression towards professional certifications like CFA, FRM, CQF Experience in development of data pipeline in a systematic investment team Som exposure on assessing data quality Excellent programming skills in Python, experience in writing complex / advanced SQL queries and strong exposure to cloud environments like AWS Good understanding of version control systems like Git, SVN

Skills That Will Help You Stand Out

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Quantitative development experience Some exposure working with APIs Strong organizational, interpersonal, and proven problem-solving abilities Success in this position requires the ability to make effective, well-informed decisions and recommendations in a highly time-sensitive environment Must have a very high level of self-initiative, be able to work independently within a collegial structure, and be comfortable taking risks * You enjoy asking research questions, expressing opinions, and actively engaging in internal discussions regarding quantitative models and implementation