About the Company:
Ouro is dedicated to delivering financial empowerment to millions of Americans, leveraging a proprietary payments technology platform that fuels its fintech product innovations. From prepaid, credit and debit account solutions, to digital account and money movement services, Ouro has a broad suite of products and technologies that deliver exceptional experiences for its customers and business partners across co-branded, white label and banking-as-a service verticals. Since its founding in 1999, Ouro products have helped millions of consumers nationwide, and processed tens of billions of dollars.
Present day: Legendary Austin fintech Ouro has opened a new chapter in its role as market maker with the return of its visionary founders Roy and Bertrand Sosa. The combined company meshes Ouro’s customer and partner portfolios, payments platform and innovations with the international footprint and money movement capabilities of Rêv Worldwide, the company the Sosas founded after Ouro. The reunion creates a revitalized financial services innovator on a mission to reimagine financial services for consumers around the world and to redefine the industry once again.
Ouro fosters a high-performance culture and we are building a unified platform and product suite capable of bringing financial mobility and freedom to consumers around the world despite differences in language, currency, culture, and geography.
Role Summary
Netspend is seeking an experienced, highly motivated, Python engineer for our Data Applications, Transformation & Analytics team.
Develops data products that help Netspend’s internal stakeholders to make informed decisions. Works within a backend team, collaborating with our product, marketing, customer service, and operations teams.
Required Qualifications
• 5+ years of experience in software engineering and development, with a specialization in data-centric application development.
• Proficiency in Python programming
• Understanding of Python Web Frameworks
• Experience in integrating API's
• Strong understanding of data manipulation libraries like Pandas and Numpy
• Experience with data visualization tools such as Matplotlib or Seaborn
• Knowledge of machine learning libraries like Scikit-Learn and TensorFlow/PyTorch
• Ability to work with databases using SQL
• Ability to clean, analyze, and interpret complex data sets
• Good foundation in machine learning algorithms and techniques
• Knowledge in building and training machine learning models
• Ability to evaluate model performance and make improvements
• Knowledge of A/B testing methodologies
• Ability to work with large datasets efficiently
• Hands on experience with JIRA, Agile methodology, source code management - GIT, SVN etc.
• Strong understanding in building REST APIs/ Micro services architecture
• Strong analytical and problem-solving skills
Nice To Have
• Working knowledge on Java, Spring integration, understanding of Springboot Micro services
• Good to have Airflow
• Experience with ETL frameworks/processes
