Salario en P&s Global Miranda

Requisitos

• bachelor's degree in Computer Science or Statistics or Mathematics is required, or in lieu, a demonstrated equivalence in work experience
• A bachelor’s and advanced degree is required
• financial services industry experience
  Mostrar más +34
• bachelor’s degree holder of Business, Economics, Finance, Engineering, Mathematics, or a related subject
• AWS Certified Machine Learning or Data Analytics Specialty or similar certification is desired
• strong critical thinking skills, along with numerical strength
• strong written and oral communication skills in English are essential. Knowledge of further languages, particularly German would be a plus
• expert in Data modelling, evaluation, and data science
• excellent time management and the ability to stay organized, meet deadlines, and multitask
• knowledge of the Industrial and Automotive sector would be a plus
• strong concepts of linear algebra, probability, statistics, multivariate calculus
• analytical and problem-solving skills; the ability to think independently and critically
• good experience in developing Machine Learning models
• ability to mentor others; and
• understanding of and experience with legal transaction and debt documentations
• good knowledge of various ML Vectorizations & Classifiers
• strong verbal and written communication skills
• the ability to maintain accuracy and be detail-oriented while complying with strict and tight deadlines
• grade 12
• corporate credit analysis experience of at least 5-7 years within a rating agency, commercial or investment bank, investing institution/asset manager, or an audit company
• good knowledge of Natural Language Processing
• fluent in English and German essential
• diligent and intellectually curious, self-starter with a strong work ethic and a drive to succeed
• experience in Python or Java programming
• adaptability and ability to accept and learn from feedback
• 10+ years of experience in software development activities
• experience in using BI tools – QuickSight
• experience with databases and ETL process
• the Policy is designed to promote compliance with global regulations
• experience in AWS Sagemaker
• in some Divisions, pursuant to the Policy’s requirements, candidates at S&P Global may be asked to disclose securities holdings
• experience in AWS database and messaging technologies
• some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest
• predictive modelling based on machine learning techniques
• develop Supervised, Unsupervised, and Reinforcement Machine Learning Algorithms
• employment at S&P Global is contingent upon compliance with the Policy
• S&P Global has a Securities Disclosure and Trading Policy that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading

Ofertas actuales para el puesto: