Senior Data Management Professional

Há 1 mês


São Paulo, São Paulo, Brasil Avature Tempo inteiro
About the Role

We are seeking a highly skilled Data Engineer to join our team in Financial Institutions, responsible for managing and improving the financial data that feeds our products. As a key member of our team, you will identify innovative workflow efficiencies, implement technical solutions to enhance our systems, products, and processes, and establish links with key players in the financial market.

Key Responsibilities
  • Develop data-driven strategies, balancing technical, product, financial, and dataset knowledge, and work with our engineering and product departments to craft solutions.
  • Be responsible for the end-to-end data ingestion of Ownership datasets, including long positions and short position holdings data, transactional data, and derived datasets such as the free float field.
  • Analyze internal processes to find opportunities for improvement and implement innovative solutions.
  • Communicate and collaborate across team members and complementary teams, including Engineering, Product, Enterprise Data, and News.
  • Design data models to create data storage solutions for our raw and enriched data and contribute to our data alignment strategy by following the FAIR data principles.
  • Develop data quality strategies for the Ownership datasets and implement scalable, lasting solutions.
  • Use data visualization skills to report on results of ongoing operations and projects, as required.
Requirements
  • 3+ years of programming experience in a development and/or production environment.
  • Proficiency using scripting languages to build pre-processing services that can be integrated in our data pipelines.
  • A proven grasp of data modeling principles and technologies to perform requirements analysis as well as conceptual, logical, and physical modeling.
  • Experience profiling new datasets and implementing high-volume, low-latency ETL pipelines.
  • Understanding of data quality standard methodologies to improve the value of the dataset.
  • Proven track record of effective project management and a customer-focused mentality.
  • Proficiency in English, Portuguese, and Spanish languages preferred.
Preferred Qualifications
  • Advanced degree or Master's degree in a Finance or STEM subject and/or CFA designation (or working towards it).
  • Familiarity with use cases of sophisticated statistical methods such as Machine Learning, Artificial Intelligence, and Natural Language Processing.
  • Experience designing optimal database structures.
  • Experience working in an Agile development team.

We are committed to delivering best-in-class quality and improving and expanding our FI Credit Latam New Issues bond offerings through a deep understanding of market dynamics alongside our clients' current and future needs.

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.


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