Fraud Strategy
About us
We're a financial services company leveraging cutting-edge technology to provide fintech and financial solutions to the underserved Southeast Asia market. Our team is a diverse and carefully selected group of finance and tech professionals worldwide.
With the successful launch of our first product. Our top-tier international talent, based in Bangkok, continues to innovate and drive forward in our fast-paced and quality-driven environment.
Our journey is marked by continuous learning, growth, and a passion for our work. We remain committed to breaking new ground, adapting, and thriving amidst the challenges and opportunities that lie ahead.
Why We Need You:
We are a rapidly growing credit card fintech. To grow safely, our fraud policies and security features must constantly evolve to stay a few steps ahead of fraudsters. We are looking for a strong analyst who can find patterns in data and turn them into effective fraud prevention rules, models, and policies.
Responsibilities:
Define fraud-relevant metrics and set up monitoring and alerting processes.
Identify, clean, and organize data relevant for fraud detection.
Analyze data to find fraud patterns and build rules and/or ML models to help identify high-risk events.
Collaborate with the data science team on building effective fraud ML models.
Define comprehensive fraud detection policies covering the entire customer lifecycle and optimizing for a balance between fraud losses, customer experience friction, ops costs, and regulatory risks.
Evaluate the added value of new fraud-relevant data sources and technology.
Partner with engineering and ops teams to implement and execute fraud policies.
Collaborate with the data science team in preparing models.
Initiate randomized experiments to measure the effectiveness of various fraud prevention measures.
Effectively communicate findings, proposed modifications, or policies to relevant stakeholders, and defend your conclusions when necessary.
Qualifications:
Proven experience in creating automated model-based fraud prevention policies within a heavily data-driven financial institution.
Comprehensive understanding of the fraud risks associated with a revolving credit product and the effective methods and technologies to tackle them.
Proficiency in extracting data from a database (SQL, Scala, or other DB language) and analyzing it across multiple metrics and dimensions, visualizing trends, applying statistical methodologies like finding correlations, clustering, building basic models, etc., to pinpoint the primary drivers of a specific behavior (preferably in Python).
A proactive mindset and the ability to collaborate effectively with machine learning and data science teams to devise prompt solutions to issues, often through "workarounds," to enhance our process swiftly rather than awaiting extensive IT developments.
Enthusiasm for establishing a new bank and a readiness to do whatever is necessary and work under pressure. Given our limited resources and the likelihood of facing numerous urgent unforeseen challenges, the ability to rely on every team member is critical.
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:
The hiring team reviews your application
You get invited to an initial call with the hiring team
Complete a take-home challenge (2-4 hours)
Onsite Interviews with relevant team members
Offer
Why You'll Love It Here
We’re all owners; Everyone at Honest gets an ESOP (Employee Stock Option Plan)
Provident Fund
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
Top-of-the-line medical healthcare plan
Monthly Wellness Allowance
One of the best-funded start-ups in Southeast East 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 opportunity 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.