Credit Manager

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 an emerging credit card company experiencing rapid growth. To ensure the sustainability of our growth, it is imperative to develop solid underwriting and limit policies. Additionally, setting up ongoing experiments to continuously refine these policies for optimal profitability is crucial. Moreover, establishing robust reporting mechanisms and unit economic models for our portfolio is necessary to comprehend the financial repercussions of its performance, alterations we implement, and market shifts. Responsibilities: Drive the process of formulating robust underwriting and limit management strategies. Manage backlog and prioritization of your area of responsibility within credit. Identify and organize data pertinent to credit policies. Assess the performance of existing policies and explore potential enhancements. Evaluate the utility of new data sources. Collaborate with the data science team in preparing models. Define underwriting norms and cut-offs. Compute the unit economics of our product under specified policies. Calculate the Net Present Value (NPV) impact of limit augmentations. Design and drive implementation, execution, and evaluation of randomized experiments to gauge the effects of varying limits and approval decisions. Utilize the outcomes to establish NPV-optimized underwriting and limit policies. Partner with engineering teams to implement and sustain these policies. Effectively communicate findings, proposed modifications, or policies to relevant stakeholders, and defend your conclusions when necessary. Qualifications: Proven experience in creating automated model-based credit policies within a heavily data-driven financial institution. Comprehensive understanding of the financial dynamics of a revolving credit product and the capability to develop an economic model forecasting lifetime value. 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 to exert their utmost effort to resolve issues is essential. About working with us This position is based in our Indonesia 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 Top-of-the-line 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 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.