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 automatic speech recognition (ASR), large language models (LLM), and text- to- speech (TTS) to facilitate voice communication with customers. 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.
Top Salary, Awesome Benefits
Premium healthcare for 3 members in family
Responsibilities
The Job
Top 3 Reasons To Join Us
Grab to work, Lunch allowance for all employee
Develop Other ML Models: Design and implement various types of machine learning models to address diverse business needs.
Build Evaluation Frameworks: Establish comprehensive evaluation frameworks to assess the performance and effectiveness of LLM agents.
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.
Develop other ML models.
Collaboration and Consultation: Work closely with peers, colleagues, and managers to resolve issues and achieve shared goals.
Feedback Collection and Model Improvement: Develop systems for collecting user feedback and iteratively improving model performance based on this feedback.
Your Skills and Experience
Post Graduate degree (Masters or Ph.D.) in Quantitative field such as Statistics, Mathematics, Computer Science, Economics, or equivalent experience preferred
Strong knowledge and hands- on experience on machine learning, or statistics and experimentation
3 to 6 years of professional working experience in applying applying statistical and ML solutions to business problems
The ability to communicate results clearly to technical and non- technical audiences
Results oriented with strong analytical and problem solving skills
Good business acumen with strong ability to solve business problems through data driven quantitative methodologies
Demonstrated ability to research and innovate solutions to solve business problems
Strong proficiency in programming languages such as Python, R, or Java.
Experience in bank related products such as unsecured personal loans and credit card is preferred
Why You&039;ll Love Working Here
An opportunity to make a social impact by helping to democratize credit access in emerging markets.
Comprehensive health care coverage for you and your dependents
Grab for work allowance and fully equipped workstations
Onsite lunch with multiple options, including vegetarian
Competitive compensation package, including 13th- month salary and performance bonuses
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
Generous leave policies, including annual leave, sick leave, and flexible work hours
Convenient central district 1 office location, next to a future metro station
