Big Data Quantitative Scientist

At PINTU, we are building the #1 crypto investment platform designed for new investors in Indonesia and Southeast Asia. We recognize that 99% of new investors are underserved because existing solutions cater mainly to pros and early adopters. That’s why we created an app that makes it easy to learn, invest, and sell cryptocurrencies—all in just one click.

We are looking for a Big Data Quantitative Scientist to join our market-making team

In this role, you will

• Data Acquisition & Management
  • Source, aggregate, and manage large-scale datasets, as well as alternative data sources (e.g., social media, blockchain explorers, economic indicators).
  • Ensure data integrity and quality through rigorous validation, cleaning, and normalization processes.
• Exploratory Data Analysis (EDA)
  • Conduct in-depth exploratory analysis to identify trends, anomalies, and relationships in market and alternative datasets.
  • Visualize complex data to uncover actionable insights and support hypothesis generation.
• Model Development
  • Design, implement, and optimize predictive models using statistical, machine learning, and deep learning techniques for price forecasting, volatility estimation, and anomaly detection.
  • Experiment with various model architectures (e.g., ARIMA, LSTM, transformer-based models) and advanced feature engineering.
• Backtesting & Validation
  • Develop robust backtesting frameworks to evaluate model performance on historical data.
  • Perform out-of-sample testing and cross-validation to ensure model robustness and avoid overfitting.
    
• Real-Time Analytics & Deployment
  • Build and maintain pipelines for real-time data ingestion, model inference, and signal generation.
  • Work with engineering and DevOps teams to deploy models into production environments (cloud/on-premises).
    
• Performance Monitoring & Optimization
  • Continuously monitor and analyze model performance, retraining and recalibrating as necessary based on live market data.
  • Optimize models for latency, scalability, and accuracy.
    
• Collaboration & Communication
  • Collaborate with quantitative researchers, traders, software engineers, and product managers to translate business needs into technical solutions.
  • Present findings, model results, and actionable insights to both technical and non-technical stakeholders.
    
• Research & Innovation
  • Stay current with the latest advancements in AI/ML, quantitative finance, and blockchain analytics.
  • Propose and prototype innovative approaches to improve predictive accuracy and trading strategies.
    
• Documentation & Compliance
  • Document data sources, modeling decisions, and code for reproducibility and regulatory compliance.
  • Ensure all processes adhere to data privacy and security standards
    

Who We Are Looking For