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Skills:

Social media

Job type:

Full-time

• Customer Interaction - Respond to customer inquiries via email, phone, chat, or social media promptly and professionally.
• Order Management - Assist customers with placing orders, tracking shipments, and processing returns or exchanges.
• Issue Resolution - Address and resolve customer complaints or issues, such as defective products or delivery problems, ensuring a satisfactory outcome.
• Feedback Collection - Gather customer feedback to improve products, services, and the overall customer experience.
• Knowledge Sharing - Stay updated on product knowledge and policies to provide accurate information to customers.
• System Navigation - Utilize CRM software to document, track, and manage customer interactions and profiles.
• Collaboration - Work with other departments, like logistics or operations, to ensure customer needs are met.
• Sales Support - Advise customers on product choices, promotions, and features to support sales efforts.
• Follow-up - Conduct follow-up communications to ensure that customer issues have been resolved to their satisfaction.

Experience:

1 year required

Skills:

Finance, Statistics, Python, English

Job type:

Full-time

• Manage/ Clean/ Prepare internal and external data (structured/ semi-structured/ unstructured data) for model development/ deployment/ monitoring, including the production of data quality and integrity report.
• Develop statistical/ expert/ hybrid models to be able to enhance the model when model deterioration is indicated using variety of data modeling techniques such as Logistic Regression/ Random Forest/ Gradient Boosting/ Non-Parametric Regression. Also, in case of using external consultants, be able to work closely with them across all m ...
• Generate prescriptive models to respond to interactive decision to optimize risks and rewards.
• Deploy credit risk models into Databricks platform, collection system and credit decision engine and maintain any model adjustment.
• Assist and work closely with related parties, e.g. business users, credit approval officers and relationship managers to ensure credit risk models are appropriate and efficient for business direction and support for new digital lending risk assessment and platform.
• Ensure all credit risk models are qualified to be used through model life cycle. Regularly perform model monitoring, model assessment and propose proactive action/ recommendation to improve the model.
• Assist and design for business opportunity to develop alternative credit score from partnership data.
• Collaborate with IT and data engineer to ensure data availability and quality from various sources (both on-premise/ cloud) to develop an efficient model.
• Qualifications Bachelor s or higher degree in Finance, Statistics, Mathematics, Economics, MIS, Engineer, Data scientist or any related fields.
• At least 1-2 year experiences credit risk analytics, credit risk modeling/ scoring in retail banking, consumer finance or any financial business.
• Strong knowledge and skill in machine learning, credit scoring, data analytics using R/ Python/ PySpark, MATLAB, SPSS, SAS, SQL or similar required.
• Analytical mindset with excellent critical thinking ability and data analytics skills.
• Excellent computer skills and programming tools.
• Good command in both written and spoken English.
• Good project management skills.
• Good team player with a positive attitude toward hard working and working under pressure.
• Experienced in credit risk modeling, model monitoring/ validation/ deployment/ maintenance preferred.
• Prior experience in Basel/ IFRS9, RAROC, Stress Test, Big Data, Data Mining, Digital leading, Fin-tech/ Start-up is a plus.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.