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MACHINE LEARNING ENGINEER

Descripción de la oferta de empleo

Our client is a dynamic and forward-thinking startup at the cutting edge of machine learning technology. Specializing in the financial sector, they develop innovative solutions to tackle complex time series forecasting and optimization challenges. Their proprietary techniques are transforming performance, accuracy, and interpretability in financial modeling.ROLEMachine Learning Engineer with expertise in time series analysis for financial applications. In this role, you will collaborate with a multidisciplinary team of software engineers and financial experts to design and implement machine learning models that address complex financial challenges such as forecasting, risk management, and market predictions. The successful candidate will focus on model development, backtesting, validation, and optimization in a collaborative environment.RESPONSIBILITIESDesign, develop, and implement machine learning models, with a focus on time series forecasting and pattern recognition for financial data.Conduct backtesting, model validation, and performance optimization to ensure reliability and robustness in financial applications.Collaborate with software engineers and financial analysts to integrate machine learning models into broader financial systems.Enhance and adapt core algorithms for specific financial use cases in time series analysis and optimization, ensuring alignment with business objectives.Lead client engagements on proof-of-concept projects, including data analysis, model backtesting, and results presentation.Perform data preparation, feature engineering, and visualization for time series data to uncover meaningful patterns.Optimize model performance in financial applications, including risk management and market forecasting.Document and benchmark model outcomes, ensuring reproducibility and scalability.Fine-tune and test the accuracy of machine learning models for financial time series predictions, focusing on pattern detection and optimization.REQUIREMENTSA degree in Computer Science, Mathematics, Statistics, or a related field.Proven experience in time series analysis, backtesting, validation, and optimization, particularly within the financial domain.Expertise in detecting patterns and trends in financial data, with a focus on time series forecasting and risk modeling.Proficiency in Python and machine learning libraries.Familiarity with financial data sources, backtesting frameworks, and optimization techniques.Strong collaboration skills to work effectively with software engineers and financial experts.Excellent problem-solving and analytical skills, with the ability to handle complex data sets.Strong communication skills, with fluency in both Spanish and English.
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Detalles de la oferta

Empresa
  • Steneg & Partners
Localidad
  • En toda España
Dirección
  • Sin especificar - Sin especificar
Fecha de publicación
  • 04/10/2024
Fecha de expiración
  • 02/01/2025
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