Trusting Social is an AI Fintech pioneer that's revolutionizing credit access in emerging markets. Our mission is "Advancing AI to Meet the Financial Needs of Everyday Consumers with Empathy." We've assessed over 1 billion consumers across four countries, and we're on a mission to provide 100 million credit lines using the power of AI and Big Data.

How You'll Make an Impact

The Credit Insight team consists of highly skilled and passionate data scientists who are committed to staying current with the latest advancements in data science, machine learning, and artificial intelligence. Our team tackles a wide range of areas including credit scoring, fraudulent activity detection, profit optimization, and developing advanced technologies such as conversational AI. By analyzing extensive datasets that capture daily customer behavior, we continuously uncover unique and intriguing machine learning and business challenges. Our goal is to build robust machine learning models that enhance user experience and optimize the profitability of our financial products.

What You'll Do

• Train and Fine-tune LLM Models: Develop and refine large language models to follow instructions, comprehend customer inquiries, and communicate naturally and effectively.
• Design and Develop LLM Agents: Create and tailor LLM agents to meet specific business needs and objectives.
• Build Evaluation Frameworks: Establish comprehensive evaluation frameworks to assess the performance and effectiveness of LLM agents.
• Feedback Collection and Model Improvement: Develop systems for collecting user feedback and iteratively improving model performance based on this feedback.
• Develop Other ML Models: Design and implement various types of machine learning models to address diverse business needs.
• Collaboration and Consultation: Work closely with peers, colleagues, and managers to resolve issues and achieve shared goals.
• Develop other ML models. 

What We're Looking For

• Post Graduate degree (Masters  or Ph.D.) in Quantitative field such as Statistics, Mathematics, Computer  Science, Economics, or equivalent experience preferred 
• From 6+ years of professional working experience in applying applying statistical and ML solutions to business problems 
• Strong proficiency in programming languages such as Python or R.
• Strong knowledge and hands-on experience on machine learning, or statistics and experimentation
• Results oriented with strong analytical and problem solving skills
• Good business acumen with strong ability to solve business problems through data driven quantitative methodologies
• The ability to communicate results clearly to technical and non-technical audiences
• Demonstrated ability to research and innovate solutions to solve business problems
• Experience in bank related products such as unsecured personal loans and credit card is preferred

What We Offer

Join our vibrant team and enjoy:

• Opportunity to work and learn from one of the best and brightest technology teams in Vietnam
• Be part of a winning team with exponential growth regionally, experience recruiting world-class talents
• Competitive compensation package, including 13th-month salary and performance bonuses
• Comprehensive health care coverage for you and your dependents
• Generous leave policies, including annual leave, sick leave, and flexible work hours
• Convenient central district 1 office location, next to a future metro station
• Onsite lunch with multiple options, including vegetarian
• Grab for work allowance and fully equipped workstations
• Fun and engaging team building activities, sponsored sports clubs, and happy hour every Thursday
• Unlimited free coffee, tea, snacks, and fruit to keep you energized
• An opportunity to make a social impact by helping to democratize credit access in emerging markets

At Trusting Social, we live by ownership, integrity, and agility in execution. We believe in doing what's right, what's best, and what's innovative. If you're smart, driven, and want to make a difference in the world with the most advanced and fascinating technology, come join our team. We offer the runway to truly make an impact.

For more information about us, please visit our website: https://www.youtube.com/watch?v=inAEDGvOcL8&t=29s