• Develop and validate machine learning models for credit scoring, fraud detection and lead scoring.

• Engineer features from behavioural, telco and transactional data sources.

• Monitor deployed models and data feeds; identify anomalies and drift that affect production performance.

• Collaborate with Business owners to define and design a roadmap for financial products.

• Enhancing data collection to integrate information that is relevant to products.

• Perform analysis and draw meaningful insights from company’s data sets; visualize and present those insights to stakeholders.

• Bachelor’s degree or higher in Computer Science, IT, Software Engineer, Software Development, Actuarial Science, or a related quantitative field.

• Great communication skills, strong problem-solving capabilities, and a desire to learn.

• Strong knowledge of Machine learning and statistics.

• Strong debugging, analytical, and problem-solving abilities, excellent team player with the ability to maintain strong internal and external relationships.

• Working Python (pandas, scikit-learn) and SQL. You should be comfortable pulling and reshaping data yourself.

• Experience with credit scoring or financial service models is a plus.

Nice to have

• Any exposure to credit scoring, fraud, or financial services modelling.

• Familiarity with scorecard concepts: WOE/IV, Gini/KS, PSI, reject inference.

• Exposure to gradient boosting libraries (XGBoost, LightGBM, CatBoost).

• Exposure to big data or pipeline tooling — Spark, Hive, Kafka, Airflow. Nice to see, not expected at this level; we will teach you our stack.

• Challenging problems to solve with high impact to the society.

• High performing team members with strong background.

• Great problems to solve, great team to work with.

• Competitive starting salary.

• 13th salary, and bonuses depend on company profits, project reward.

• Company-provided Apple computers.

• Benefits for special holidays (Birthday, Marriage, Women’s Day, Tet Holidays, Mid-Autumn, New born babies, International Children ‘s Day…)

• Social Insurance on TOTAL salary

• Support lunch 80.000VND/day and Happy Friday.

• 12 days of annual leave and 1 day of birthday leave.

• Annual Health check-up.

• Team building and company trip at 5-stars resort.

• Support Grab for work.

• Health care insurance for employees and family.

• Life Insurance for the employee with indefinite contract.