Search the 6 jobs at MerQube

The Data Office Lead will establish and lead the Data Office, focusing on implementing a data governance framework, ensuring data quality and compliance, and optimizing data costs while developing marketable data products. This role requires close collaboration with cross-functional teams and stakeholders.

The Technical Product Manager will guide the development of MerQube's indexing platform, collaborate with stakeholders to define product strategy, manage roadmaps, improve workflows, and ensure that product features align with business goals while enhancing operational efficiency.

As a Junior Product Manager at MerQube, you will assist in the product lifecycle by supporting market research, project delivery, and collaborating with cross-functional teams. Responsibilities include developing product strategies, writing product requirements, managing product backlogs, and coordinating product launches. You will play a key role in ensuring the development and deployment of innovative financial products that meet market needs.

As a Quantitative Associate at MerQube, you will model, create, backtest, and launch innovative index strategies utilizing Python. Your role includes collaborating with teams, automating processes for calculations, and working with financial datasets.

As a Financial Engineer at MerQube, you will model, backtest, and launch new index strategies across various asset classes using advanced programming skills in Python. You will collaborate with clients and the engineering team to automate financial calculations and develop innovative financial engines, leveraging financial data sets and applications to enhance performance.

Seeking a Quantitative Analyst (Financial Engineer) to develop, model, and backtest new index strategies using Python for a financial technology company. Responsibilities include collaborating with the team to create index strategies and interfaces with clients and engineers. Requires a Bachelor's degree in Computer Sciences or a quantitative field, proficiency in Python, and strong interest in financial markets and software.