
501 - 1000 employees
Founded 2011
đł Fintech
đ Cybersecurity
đ€ Artificial Intelligence
Fintech âą Cybersecurity âą Artificial Intelligence
Feedzai is a leading cloud platform that specializes in managing financial risk by combating fraud and financial crimes using advanced machine learning technology. The company analyzes trillions of dollars in transactions each year to protect major corporations from fraud and money laundering. With a diverse range of roles across the globe and a commitment to employee well-being and development, Feedzai fosters a culture of learning and innovation in the financial technology sector.
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501 - 1000 employees
Founded 2011
đł Fintech
đ Cybersecurity
đ€ Artificial Intelligence
Fintech âą Cybersecurity âą Artificial Intelligence
Feedzai is a leading cloud platform that specializes in managing financial risk by combating fraud and financial crimes using advanced machine learning technology. The company analyzes trillions of dollars in transactions each year to protect major corporations from fraud and money laundering. With a diverse range of roles across the globe and a commitment to employee well-being and development, Feedzai fosters a culture of learning and innovation in the financial technology sector.
âą Understanding the data which our clients provide to us; âą Cleaning that data and validating that it is correct; âą Preprocessing the data, usually by using a mixture of shell scripts and a programming language such as Python, Java, Scala, etc; âą Iteratively computing features and tuning parameters to improve the quality of the model; âą Communicating your findings to the project manager and assisting him/her in decision making on the Data Science part of the project; âą Work together with key stakeholders (data scientists, engineers, risk managers) from our clients; âą Work with other parts of the organization (Product, Research, etc.) to improve processes, best practices and tooling.
âą MSc or PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics or related field; âą Proficient in Machine Learning (training and testing, avoiding overfit, etc.); âą Knowledge of Big Data technologies such as Spark, Hadoop and related; âą Proficiency in bash, Python and either Java or Scala; âą Knowledge of resource monitoring and runtime optimization (both at JVM and OS level); âą Knowledge of statistics or data visualization is a plus; âą Knowledge of tree based algorithms (Random Forests, XGBoost, LGBM) is a plus; âą Knowledge of Deep Learning algorithms is a plus; âą Ability to communicate your findings in a clear way.
âą Health insurance âą 401(k) retirement plans âą Paid time off âą Remote work arrangements âą Professional development opportunities
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