Big Data Quantitative Scientist

Pintu; Daerah Khusus Ibukota Jakarta; On-site; USD 30,000 - 70,000; Full time

Job summary

Join a forward-thinking company as a Big Data Quantitative Scientist, where you will leverage your expertise in data analytics and machine learning to shape the future of cryptocurrency investment. You'll be responsible for sourcing and managing extensive datasets, conducting exploratory analyses, and developing predictive models that drive market strategies. Collaborate with a dynamic team to innovate and enhance financial solutions, ensuring data quality and compliance. This role offers a unique opportunity to impact the rapidly evolving financial landscape and contribute to building a cryptocurrency bank accessible to everyone.

Benefits

Flexible working hours

Health insurance

Remote work options

Learning and development opportunities

Team-building activities

Qualifications

• Experience in big data analytics, preferably in financial markets.
• Strong understanding of statistics, probability, and time-series analysis.

Responsibilities

• Manage large-scale datasets and ensure data integrity.
• Design and optimize predictive models for price forecasting.

Skills

Python

R

SQL/NoSQL

Big Data Tools (Spark, Hadoop, Kafka)

Statistical Analysis

Machine Learning

Deep Learning

Problem-solving

Communication

Education

Bachelor's in Computer Science

Master's in Data Science

Tools

TensorFlow

PyTorch

AWS

GCP

Azure

Git

Job description

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:

1. Data Acquisition & Management
   • Source, aggregate, and manage large-scale datasets, including alternative data sources (e.g., social media, blockchain explorers, economic indicators).
   • Ensure data integrity and quality through validation, cleaning, and normalization processes.
2. Exploratory Data Analysis (EDA)
   • Conduct in-depth analysis to identify trends, anomalies, and relationships in market and alternative datasets.
   • Visualize data to uncover insights and support hypothesis generation.
3. Model Development
   • Design, implement, and optimize predictive models using statistical, machine learning, and deep learning techniques for tasks like price forecasting and anomaly detection.
   • Experiment with architectures such as ARIMA, LSTM, transformers, and feature engineering.
4. Backtesting & Validation
   • Develop frameworks to evaluate model performance on historical data.
   • Perform out-of-sample testing and cross-validation to ensure robustness.
5. Real-Time Analytics & Deployment
   • Build pipelines for real-time data ingestion, inference, and signal generation.
   • Collaborate with engineering teams to deploy models into production environments.
6. Performance Monitoring & Optimization
   • Monitor and analyze model performance, retrain and recalibrate as needed.
   • Optimize for latency, scalability, and accuracy.
7. Collaboration & Communication
   • Work with researchers, traders, engineers, and product managers to translate needs into solutions.
   • Present findings and insights to diverse stakeholders.
8. Research & Innovation
   • Stay updated on AI/ML, finance, and blockchain analytics advancements.
   • Propose innovative approaches to improve strategies.
9. Documentation & Compliance
   • Document data sources, models, and code for reproducibility and compliance.
   • Adhere to data privacy and security standards.

Who We Are Looking For:

• Education & Experience: Bachelor’s or Master’s in CS, Statistics, Math, Financial Engineering, Data Science, or related; experience in big data analytics, preferably in financial markets.
• Technical Skills: Proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch), R, SQL/NoSQL, big data tools (Spark, Hadoop, Kafka), cloud platforms (AWS, GCP, Azure), API integration, version control (Git).
• Financial Domain Knowledge: Understanding of financial markets, especially forex and crypto; trading strategies, microstructure, risk management.
• Quantitative Skills: Strong in statistics, probability, time-series analysis, econometrics; experience with feature selection, dimensionality reduction, interpretability.
• Soft Skills: Problem-solving, critical thinking, communication, independence, teamwork, attention to detail, proactive learning.
• Preferred Skills: Blockchain analytics, reinforcement learning, NLP, MLOps, alternative data sources.

Let’s Realise a Cryptocurrency Bank for Everyone!

We are building the #1 cryptocurrency bank to accelerate the transition to an open financial system. We’ve impacted many lives, but there’s still much to do. Learn more about us.

What is PINTU?

PINTU is a blockchain-based digital investment app focused on new investors. Our user-friendly app helps users learn, buy, and invest in cryptocurrencies with just one click. Our agility and core values have helped us thrive through challenging times.

Learn more about PINTU here.