Trusting Social ★ 3.7

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.

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

Yêu cầu công việc

Results oriented with strong analytical and problem solving skills
Good business acumen with strong ability to solve business problems through data driven quantitative methodologies
Strong knowledge and hands- on experience on machine learning, or statistics and experimentation
Demonstrated ability to research and innovate solutions to solve business problems
5 to 10 years of professional working experience in applying applying statistical and ML solutions to business problems
Experience in bank related products such as unsecured personal loans and credit card is preferred
Post Graduate degree (Masters or Ph.D.) in Quantitative field such as Statistics, Mathematics, Computer Science, Economics, or equivalent experience preferred
The ability to communicate results clearly to technical and non- technical audiences
Strong proficiency in programming languages such as Python or R.

Competitive compensation package, including 13th- month salary and performance bonuses
Grab for work allowance and fully equipped workstations
Onsite lunch with multiple options, including vegetarian
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.
Fun and engaging team building activities, sponsored sports clubs, and happy hour every Thursday
Generous leave policies, including annual leave, sick leave, and flexible work hours
Comprehensive health care coverage for you and your dependents
Convenient central district 1 office location, next to a future metro station

Cập nhật gần nhất lúc: 2025-06-28 19:25:02