Asset Management - Junior Quantitative Developer - Associate

We are a dynamic and innovative Quantitative Equity Research Team seeking a highly motivated Junior Quantitative Equity Data Analyst to join our talented and collaborative team.

As a key player in the financial industry, we leverage data-driven insights to make informed investment decisions and drive our research strategies.

As a Junior Quantitative Equity Data Analyst within our Quantitative Equity Research Team, you will collaborate with senior analysts to develop and maintain robust data pipelines, utilize programming skills in Python to automate processes, and work with SQL to manipulate data.

You will apply statistical methods to interpret financial data, assist in developing data visualization tools, and ensure timely delivery of insights.

Your role will focus on maintaining data integrity and quality, providing you with the opportunity to enhance your skills in a dynamic and innovative environment.

Job responsibilities


* Design, build, and maintain production-quality pipelines to support systematic research and analytics.


* Refactor and optimize existing codebases to improve performance, maintainability, and scalability.


* Develop and maintain dashboards, reporting tools, and data visualization solutions to communicate research insights and portfolio analytics to stakeholders.


* Collaborate with quantitative researchers to translate prototypes into robust production systems.


* Ensure high standards of code quality, testing, and documentation across all projects.


* Partner with technology and operations teams to ensure efficient data access and system reliability.


* Integrate and manage external/internal APIs to streamline data acquisition and system interoperability.

Required qualifications, capabilities and skills:


* Strong programming skills in Python (experience with Pandas, NumPy, and scientific computing libraries required).


* Experience with SQL and relational databases and familiarity with NoSQL data stores and large-scale data handling.


* Strong knowledge of software engineering best practices: version control, testing frameworks.


* Demonstrated experience in building data pipelines and production systems, with tools like Apache Airflow.


* Experience with dashboarding/visualization frameworks (e.g., Plotly Dash, Streamlit, Tableau, or similar).


* Experience working with APIs (REST, or proprietary data feeds), including integration, error handling, and performance optimization.


* Strong problem-solving skills, attention to detail, and a passion for clean, maintainable code.


* Ability to work collaboratively with researchers and business stakeholders, translating requirements into practical solutions.


* Bachelor's or Master's degree in Computer Science, Engineering, Applied Mathematics, or a related field.

Preferred qualifications, capabilities and skills:


* Familiarity with cloud computing platforms (AWS, GCP, or Azure).


* Exposure to fi...