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 teamIn 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 Education & Experience Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Financial Engineering, Data Science, or a related field. Proven experience in big data analytics, preferably in financial markets (forex, crypto, equities, or similar). Technical Skills Strong programming skills in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch), R, or similar languages. Experience with SQL and NoSQL databases (e.g., MySQL, MongoDB, Cassandra). Familiarity with big data tools (Spark, Hadoop, Kafka) and cloud platforms (AWS, GCP, Azure). Experience with API integration for real-time data feeds. Proficiency with version control (Git) and collaborative development workflows. Financial Domain Knowledge Solid understanding of financial markets, especially forex and cryptocurrencies. Knowledge of trading strategies, market microstructure, and risk management. Quantitative and Analytical Skills Strong foundation in statistics, probability, time-series analysis, and econometrics. Experience with feature selection, dimensionality reduction, and model interpretability. Soft Skills Excellent problem-solving, critical thinking, and communication skills. Ability to work independently and as part of a multidisciplinary team. Strong attention to detail and a proactive approach to learning and innovation. Preferred/Additional Skills Experience with blockchain analytics and on-chain data. Familiarity with reinforcement learning, NLP (for news/sentiment analysis), or advanced deep learning architectures. Background in deploying and monitoring models in production (MLOps). Experience with alternative data sources (e.g., news, social sentiment) for financial prediction. Let’s Realise a Cryptocurrency Bank for Everyone!We are building the #1 cryptocurrency bank for everyone to accelerate the transition to an open financial systemWe have impacted many lives but there’s still plenty to do and we can’t do it alone. You can learn more about usWhat is PINTU?PINTU is a blockchain-based digital investment app that focuses on new investors. We have created a user-friendly app that helps new investors to learn, buy and invest cryptocurrency one click away.Our agility and firm hold on our core purpose and values have allowed us to remain resilient and thrive through tumultuous times.Learn more about PINTU here. When applying, mention the word CANDYSHOP to show you read the job post completely.