Who We Are
We’re an honest financial services company leveraging cutting-edge technology to bring payment solutions to the underserved Southeast Asia market. The team is a diverse and carefully selected group of world-class finance and tech professionals. Our blossoming international tech team led by top-tier US talent based in Bangkok are grinding away, preparing to launch our first product. The environment is nurturing and fast-paced, driven by our passionate team. We’re learning, breaking, fixing, growing, and loving it.
Who You Are
A detailed-oriented and experienced technical leader. You know that data is gold and you treat it as such. You want to keep it safe, know how much there is, where it came from, how to safely distribute it to those that need it, and when to use alchemy to enrich it further. As a team player, you know when to ask for help and when to lend it too. Not in Bangkok? Sabai Sabai, we’ll get you here!
What You’ll Do
As our product launches, our customer data will swell; thus necessitating proper infrastructure to store it. Expect large volumes of highly sensitive PII data; transactional, behavioral, and marketing data; as well as raw, unstructured, aggregated, or featurized data. Some will need to be regularly submitted to regulators, some used by our data science and credit team to train our models, while others will be used for monitoring business metrics, analytics, and reporting.
You’ll help us:
Design schemas and ETL pipelines
Develop and manage data governance policies
Ensure the highest level of data integrity
Use data to discover tasks that can be automated
Build cutting edge credit decisioning and fraud detection utilizing ML/DL and graph technologies
Build and operationalize ML workflows that drive growth and reduce risk
With These You’re Likely to Succeed
Excellent verbal and written English skills
Versatility and eagerness to learn
Experience designing highly scalable data storage - Data Warehouse, Data Lakes
Expertise with cloud technologies - GCP, AWS, Azure
Experience with big data tools: Hadoop, Spark, Kafka, etc.
Knowledge of data governance and privacy standards (GDPR / PDPA)
Strong coding skills, especially Python/Scala, SQL, GraphQL
Familiarity with K8s, high availability, containerized workflows a big plus
Experience in financial services, medical, or another highly privacy controlled industry
Exposure to graph technologies like AuraDB, Neo4j
Fluency in Thai and/or Bahasa
Experience with MLOps tools such as Kubeflow, MLFlow, Airflow
This position is based on Bangkok.