Data Scientist

ABOUT THE ROLE:

FinX aims to build a digital bank that will deliver on the promise of simplicity, technological advancement, superior customer products & services.

You will work closely with Data Engineers, Analysts, and Product teams to design, build, and deploy Machine Learning/AI, data-driven solutions that power our business operations, product intelligence, recommendation systems, and AI-driven decision-making in banking and fintech fields

Job Description:

• Develop predictive and prescriptive machine learning models (classification, regression, forecasting, clustering, NLP, etc.)
• Build and optimize recommendation engines, scoring models, anomaly detection, and customer segmentation
• Develop risk scoring models for fraud detection, post-mortem fraud, and suspicious customer behavior analysis
• Conduct feature engineering, model selection, training, evaluation, and tuning
• Deploy models to production in collaboration with Data/ML Engineering teams
• Analyze large datasets to extract insights and identify growth opportunities
• Work with Product, Engineering, and Business teams to define ML use cases
• Translate business problems into analytical frameworks and ML solutions
• Collaborate with Risk, Fraud, Product, and Engineering teams to deliver AI-driven risk scoring and fraud monitoring solutions

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or related fields
• 2–5+ years of hands-on work as a Data Scientist or ML/AI Engineer
• Good portfolio of end-to-end ML projects (recommendation, NLP, forecasting, scoring, etc.)
• Strong proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch or TensorFlow)
• Experience with ML lifecycle: data prep, modeling, evaluation, deployment, monitoring
• Strong statistical knowledge (probability, hypothesis testing, statistical modeling)
• Experience with SQL and relational databases (PostgreSQL, MySQL, BigQuery, etc.)
• Experience with fraud detection, risk scoring, anomaly detection, or behavioral analytics
• Strong problem-solving and analytical mindset
• Ability to communicate complex technical concepts to non-technical stakeholders
• Collaboration and teamwork in a cross-functional environment

Nice to have:

• Experience deploying ML models into production is a strong plus
• Familiarity with cloud platforms (AWS), ML pipelines, and CI/CD
• Experience with big data technologies (Spark, Kafka, Flink)
• Familiarity with vector databases and LLM-based applications
• Experience building MLOps pipelines (Airflow, MLflow, Kubeflow)
• Experience in banking, fintech, fraud prevention, payment systems, or digital lending

What we can offer?

• Attractive income in Viet Nam fintech markets
• 20 days of annual leave, 10 days of sick leave and public holidays.
• Full-salary paid for social insurance & Premium healthcare package
• Modern devices provided (Macbook, mouse, monitor…)
• Empowered to listen creative ideas, and there is no distance between bosses and employees.

Why join FinX:

At FinX, you’ll shape the infrastructure backbone of a fast-scaling digital bank – where innovation meets reliability. You’ll work at the intersection of Product, Engineering, and AI, driving automation, resilience, and a great user experience in everything you build.

Location: PV Gas Tower, 673 Nguyen Huu Tho, Phuoc Kien Ward, Nha Be District, HCMC, Vietnam