
1001 - 5000 employees
Founded 1993
💸 Finance
🏦 Banking
💳 Fintech
💰 Debt Financing on 2022-07
Finance • Banking • Fintech
banco BV is a financial institution that offers a wide range of banking services to both individual consumers and businesses. It provides personal and corporate accounts, credit cards, loans, financing for vehicles and solar energy, insurance solutions, and investment services. The bank also focuses on digital solutions, such as mobile banking apps and open finance initiatives, to enhance accessibility and customer experience. As a versatile financial entity, banco BV caters to both private and corporate clients, providing comprehensive banking and financial services.
🕒 April 15
🗣️🇧🇷🇵🇹 Portuguese Required
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1001 - 5000 employees
Founded 1993
💸 Finance
🏦 Banking
💳 Fintech
💰 Debt Financing on 2022-07
Finance • Banking • Fintech
banco BV is a financial institution that offers a wide range of banking services to both individual consumers and businesses. It provides personal and corporate accounts, credit cards, loans, financing for vehicles and solar energy, insurance solutions, and investment services. The bank also focuses on digital solutions, such as mobile banking apps and open finance initiatives, to enhance accessibility and customer experience. As a versatile financial entity, banco BV caters to both private and corporate clients, providing comprehensive banking and financial services.
• Data collection and preprocessing: extraction, cleaning, and transformation to ensure data quality and consistency • Exploratory Data Analysis (EDA): identification of patterns, trends, and insights • Model development: design and training of statistical and machine learning models • Validation and optimization: hyperparameter tuning and performance evaluation • Model monitoring: tracking models in production, detecting data drift and retraining • Process automation: building automated pipelines • Documentation: detailed recording of models, processes, and decisions • Visualizations and reporting: dashboards and presentations to communicate results • Collaboration: working closely with data engineering, MLOps, business, and technology teams • Continuous learning: staying up to date with new techniques, tools, and trends
• Strong academic background in quantitative methods (Economics, Statistics, Mathematics, Engineering, Computer Science, Information Systems, or Physics) • Postgraduate degree in these areas is a plus • Knowledge of statistical modeling and machine learning • Experience in handling and analyzing large volumes of data • Experience with cloud tools/platforms • Programming languages such as Python, R, SQL, Spark • Ability to communicate complex insights clearly and effectively • Experience collaborating with multidisciplinary teams • Proactive in testing new quantitative methods (statistical, econometric, etc.)
• Diversity Seal (Women category) • Commitment to equity
Apply Now🕒 April 14
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