We’re looking for a curious and impact-driven Machine Learning Engineer to join our team and accelerate the development of robust, high-performing ML solutions across key business areas—including credit scoring, collection, antifraud, sales and other.

This role combines hands-on development with strategic input, offering a chance to work on high-stakes, high-visibility projects from day one, collaborating with multiple departments and stakeholders to drive measurable business impact through better models

Preference will be given to candidates open to relocating to Manila; remote work is also possible with an initial working trip to Manila for 1–2 months

Key responsibilities:

Own the end-to-end lifecycle of ML models: from EDA, feature generation, and hypothesis testing to production deployment and monitoring
Evaluate model performance and business impact, and iterate for continuous improvement
Explore and integrate new data sources (internal and external), identifying additional predictive signals
Contribute to advancements in modeling techniques, including geospatial and graph-based methods where relevant

What we expect from candidate:

2+ years of experience as a Machine Learning Engineer or Data Scientist, ideally in fintech or fast-paced product environments
Strong skills in Python and SQL; comfortable using Git
Solid foundation in classical ML techniques and Statistics; fluency in libraries, such as Pandas, Scikit-learn, NumPy, SciPy, Matplotlib/Seaborn/Plotly, Statsmodels, XGBoost/LightGBM/CatBoost etc.
Experience in credit risk modeling is a plus
Background in graph ML and/or experience with advanced geospatial analytics is an advantage
Experience working with AWS (or other cloud environments) is a plus

Why would it be cool to work with us?

What we create

Modern banking services for millions of Filipinos
Cutting-edge solutions based on the best world practices and AI implementation
Licensed neobank aiming to be a unicorn and leading fintech in the fast-growing region of Southeast Asia
An environment that allows you to launch new products in 3-4 months
A basis for expanding into new markets all over the world

What we offer