Senior AI/ML Data Scientist
About the role
Feedzai is the world's leading RiskOps platform, and this Senior Data Scientist role sits at the core of their AI-powered financial risk detection. Based remotely in Manila, you'll own the end-to-end data science workflow for global banking clients — cleaning and validating client data, engineering features, tuning machine learning models, and communicating findings. The role demands deep ML expertise combined with the engineering discipline to deploy production-grade models that process billions of transactions.
What you'll do
- Understand client financial data; clean, validate, and preprocess datasets using Python, Java/Scala, and bash to prepare them for modeling
- Compute and engineer features, then tune ML model parameters for fraud detection and financial risk scoring
- Apply tree-based algorithms (Random Forest, XGBoost, LightGBM) and Big Data tools (Spark, Hadoop) to build scalable risk models
- Communicate analytical findings and model performance clearly to internal teams and banking clients
- Collaborate across the engineering and data teams to ensure models meet production SLAs
Requirements
- MSc or PhD in Computer Science, Engineering, Statistics, Mathematics, or Physics
- Proficient in machine learning fundamentals: training, testing, avoiding overfitting, and model evaluation
- Experience with Big Data technologies — Apache Spark and Hadoop
- Strong programming skills in Python plus at least one of Java or Scala
- Experience with tree-based algorithms (Random Forest, XGBoost, LightGBM) is a plus; Deep Learning experience is also a plus
About Feedzai
Feedzai is the world's first RiskOps platform for financial risk management and the market leader in safeguarding global commerce with advanced cloud-based risk management powered by machine learning and AI — protecting over 1 billion consumers and 90 billion transactions each year.
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