We are a forward-thinking financial services company leveraging cutting-edge technology to deliver transparent and accessible fintech solutions to Southeast Asia’s underserved markets. The team is a diverse and carefully selected group of world-class finance and tech professionals.
Our fast-growing tech and credit team - led by top-tier international talent based in Bangkok - has successfully launched our flagship product in 2023, which has been experiencing strong growth across the region.
In our dynamic, fast-paced, value-driven environment, we continue to push boundaries and drive impact through relentless innovation, collaborative problem-solving, and data-driven decision making. We’re learning, breaking, fixing, growing, and loving it. By leveraging advanced data science, machine learning, and automation, we're transforming financial inclusion while creating a meaningful impact at scale. Join us to accelerate our growth trajectory while advancing your career alongside some of the brightest minds in fintech.
Job Description:
Build data-driven solutions to the business challenges;
Create machine learning models and production flows;
Iteratively improve the current models, developing new features and algorithms;
Analyze data to get valuable insights;
Collaborate with both business and engineering stakeholders;
Create reports/dashboards to present valuable insights.
What You’ll Need to Succeed
Bachelor’s in Statistics, Applied Mathematics, Financial Engineering, Computer Science, Electrical Engineering, or related STEM fields;
3+ years of experience working in Data Science, preferably in startups and scaleups;
Have a track record of delivering productized models using large datasets with proven business impact;
Knowledge and experience in developing models using advanced machine learning algorithms and statistics: GLM/regression, Bayesian, Random Forest, Boosting, Trees, text mining, simulation, scenario analysis, neural networks, etc..
Proficiency in Python (NumPy, Pandas, Scikit-learn, XGBoost, etc) and SQL for Data Science;
Experience in creating end-to-end ML models from data extraction to final deployment;
Hunger to solve open-ended problems in a fast-moving fintech environment;
Good communication and interpersonal skills for working in a multicultural work environment
It’s Great if You Have
PhD or MSc in Statistics, Applied Mathematics, Financial Engineering, Computer Science, Electrical Engineering, or related STEM fields;
Hands-on experience building data pipelines on AWS, GCP, or Azure
In-depth knowledge in deploying ML models (Airflow, MLflow, Docker);
Domain knowledge in FinTech, especially in credit
About working with us
This position is based in our Bangkok office
We prefer to collaborate in person and don’t offer remote work
As an international team, English language proficiency is required
Our application process
Hiring is something we do with care. Because of that, having a transparent and thorough recruitment process is key. If you liked what you've read and are up for the challenge, here is what to expect after submitting your resume:
Fill out our application form with questions about your experience and motivation
You get invited to an initial call with the hiring team
Complete a take-home challenge (2-4 hours)
On-site interviews with relevant team members in multiple rounds
Offer
Why you’ll love it here
We’re all owners; Everyone at Honest gets ESOP (Employee Stock Option Plan)
Training Course and Book Subsidies
You’ll be working with the smartest people in the industry
A modern office right in the heart of Bangkok
A medical healthcare plan
Monthly Wellness Allowance
One of the best-funded start-ups in Southeast Asia with Silicon Valley investors
We don’t believe in titles or hierarchy, but value contribution & celebrate achievements as a team
Honest Hiring
At Honest, we’re working hard to build the future of finance for Asia. To do so, we prioritize attracting the best talent worldwide to join us – regardless of their background and heritage.
At Honest, we are committed to equal employment opportunities regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, or other class protected by applicable law. We are proud to be an equal-opportunity workplace.
If you want to change how people access finance in Asia, join us and help us build a global company where we’re all proud to belong.