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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:

5 years required

Skills:

Good Communication Skills, Negotiation, Problem Solving, English, Mandarin

Job type:

Full-time

• Achieve a monthly sales budget.
• Ensure that a boutique is operated under a clean and luxurious atmosphere.
• Supervise the housekeeper.
• Prepare all necessary Sales Reports and Stock Report, expense reimbursement, credit card slips submission, etc. to the head office, in the absence of Boutique Manager.
• Efficiently operate the POS system and make sure that all sales transactions correspond to the sales turnover generated on a daily basis.
• Inventory:Monitor and review stock level taken into consideration customer needs and trends, and advise Boutique Manager of any suggestions necessary to increase sales.
• Conduct daily audit of stock management including merchandise receipt, transfers and sales.
• Ensure that the watches and fine jewelry are kept safely in the vaults after the store has closed.
• Manage customers reservations and waiting lists of unavailable products.
• Personnel:Staff motivation and encouragement.
• Ensure that Customer Service Officer delivers a high standard of service to all customers.
• Responsible for leading the team with a good discipline and integrity.
• Collaborate with Retail Manager to develop an internal training /coaching programs on selling skills, product, customer service, marketing, and competitions.
• Ensure that the Sales Associates are well-groomed and deliver a premium-quality service to the customers and a daily basis and motivate sales staff as per guidelines given.
• Communication:Provide Retail Manager with reviews and updates on various issues relating to store/staff management matters and in order to facilitate improvement in store operation.
• Obtain prior approval from Retail Manager of any changes in store operating procedures or tasks deemed necessary.
• Marketing and customer relationship management:Handling customer complaints effectively.
• Create as much as possible loyalty/regular customers who will eventually turn to be VIPs.
• Brainstorm and support Retail Manager on any initiatives and implementations on in-store promotions and other CRM programs.
• ProfileBachelor s degree or higher in any fields.
• At least 5 years of working experience in selling luxury products.
• At least 2 years of working experience as an assistant boutique manager is preferred.
• Must be a good team player, pleasant, service oriented with good communication skills.
• Good computer operation.
• Professional requirementsSelling skill.
• Negotiation skill.
• Problem solving skill.
• Analytical thinking.
• LanguagesExcellent command of English and proficient in Mandarin is preferred.
• Company address
• The Swatch Group Trading (Thailand) Limited
• 4th Floor, M. Thai Tower, All Seasons Place
• 87 Wireless Road
• Pathumwan District
• TH-Bangkok 10330.
• Job Reference: SGTH00161

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.