Total 7,449 job vacancies in d21 upper bukit timah clementi park ulu pandan

Role & Responsibilities

• Shadow sector analysts, take part in company meetings and participate in research meetings
• Candidate would be given a choice of sector/subsector to identify interesting ideas
• Deep Dive on the ideas chosen by the candidate investigating company fundamentals, sector trends and other relevant points
• Presentation of ideas to the investment team

Qualifications

• Excellent academic qualifications in any discipline and passion for investing
• 0-3 years of working experience in asset management, corporate/business development, investment banking, auditing, corporate finance, consulting, operational and/or other related backgrounds
• High level of interpersonal, presentation and written communication skills
• Ability to work well within diverse teams and collaborate across multiple stakeholders
• Familiar with use of appropriate electronic data sources (e.g. Bloomberg, Factset, Capital IQ, etc.) for business and industry information research and productivity tools

Responsibilities:

• New Product Planning:
  -Analyze industry trends, market data, and customer insights to generate actionable ideas and information for NPD.
  -Define competitive positioning and unique selling propositions (USPs) for products.
• New Product Development (NPD):
  -Manage the entire NPD process, from concept to completion, including new products and reformulations.
  -Collaborate with cross-functional teams (Regulatory, Marketing, Supply Chain, contract manufacturers, R&D, and Quality) to ensure on-time product delivery.
  -Source and liaise with contract manufacturers and formulators; act as the primary contact for NPD and formulation discussions.
  -Review formulas and ingredient/design statements to ensure regulatory compliance.
  -Understand product challenge tests, stability, and compatibility studies.
  -Research market pricing, create product cost data, and propose competitive pricing.
• New Product Introduction:
  -Conduct product training for regional trainers, marketing teams, and sales leaders.
• Post-Launch Product Management:
  -Analyze product performance and recommend necessary actions.
  -Manage feedback and provide customer-centric, technically sound responses.
  -Address corrective and preventive actions (CAPA) raised by Quality.
• Contribute to and implement standard procedures aligned with industry standards and QMS requirements for product development and management activities.
• Perform additional duties and projects as needed to achieve company objectives.

Requirements:

• Degree in Cosmetic Science or Chemistry.
• At least 2 years of experience in product development/management in the cosmetic or skincare industry.
• Experience in beauty, personal care, or medical devices is a bonus.
• Passion for marketing beauty, skincare, personal care, and/or beauty device products.

Description

• Over 15 years of experience in delivering banking and FinTech solutions across transaction monitoring, payment systems, and compliance frameworks.
• Designed and implemented end-to-end transaction monitoring systems for real-time risk assessment and compliance.
• Deep expertise in building solutions for post-trade settlements and reconciliation processes.
• Expert in AML, KYC, FATCA, and sanctions compliance,ensuring adherence to global regulatory standards.
• Expertise in crafting data architectures supporting trade order management systems (OMS) and wealth management platforms.
• Hands-on expertise in designing solutions for credit risk monitoring and client lifecycle management (CLM).
• Comprehensive knowledge of SWIFT standards, ISO 20022 protocols, and modern payment systems.
• Architected scalable, cloud-native systems utilizing AWS, Spring Boot, and microservices architecture.
• Developed solutions for blockchain applications in compliance and secure transactions.
• Delivered high-impact regulatory reporting tools for financial institutions, enhancing audit readiness.
• Strong background in developing applications aligned with sanctions compliance regulations.
• Successfully integrated client onboarding solutions with compliance systems to reduce risk and improve efficiency.
• Extensive experience in regulatory environments with tools supporting AML transaction analysis and fraud detection.
• Strong advocate for digital transformation through blockchain innovations and modern FinTech methodologies.
• Delivered high-level and low-level designs for critical compliance-driven financial systems

As a result of our continued growth within the Energy sector, we are now searching for a new Claims and Contracts Senior Executive for our Singapore office.

In this position you will be part of a world leading marine insurance provider where service and competence is key. We believe in teamwork, sharing knowledge and supporting our customers. Serving the marine community can be challenging, but also very rewarding. Our purpose statement ‘Protecting Ocean Industries’ underlines our role in society and our commitment to customers, the global ocean industries and a sustainable development.

Read more about Skuld on www.skuld.com

Your responsibilities

• Overall claims handling within all aspects of P&I operations in accordance with Claims Guidelines and routines
• Undertake detailed liability reviews of the full range of offshore contracts for members, clients and prospects
• Take strong initiative in claims handling processes and is considered a role model for less experienced colleagues
• Contribute to an open, friendly and trusting working environment
• Offer support and to colleagues with less experience and actively seek guidance from more senior colleagues
• Build strong relationship with Members, Clients and Brokers
• Promote Skuld in the market and partake in marketing efforts. Participate in Skuld seminars, gatherings and events
• Contribute with articles, bulletins, circulars etc. for marketing and loss prevention purposes
• Continuously monitor claims, contract review submissions and operational performance of Members and Clients under his/her responsibility and ensure effective reporting of relevant and useful information to Head of Business Unit, Head of Claims and Underwriting team
• Actively participate in and provide valuable contribution to Support Groups
• Authority according to levels as defined in Skuld's Authority levels
• Work in compliance with current policies, instructions and guidelines in Skuld
• Contribute to an open, friendly and trusting working environment

Who are you:

To thrive in Skuld you face challenges with a positive mindset and dedication. You are professional, structured, service minded and proud to be a good Skuld ambassador. You also recognise and live by our values; Accurate, Bold, Caring and Dedicated.

• Higher education and at least 5 years of relevant work experience
• Qualified as a solicitor/lawyer
• Extensive knowledge and understanding of the global offshore and shipping industry insurance market contracting practices
• Ability to lead work of high complexity, and has deep knowledge within at least one subject area
• Take strong initiative in claims handling and contract review processes and is considered a role model for less experienced colleagues
• Good communication skills – internally and externally – verbal and written
• Language skills – English on high level, fluent in speaking and writing.
• Willing and able to embody our values (Accurate, Bold, Caring and Dedicated) in everything we do:

A. Have high professional competence
A. Deliver accurately and on time
A. Perform according to set goals, both quantitative and qualitative.

B. Take initiative and be self-driven
B. Be solution oriented
B. Think innovative and show an ability to change.

C. Be a team player with a good attitude towards colleagues
C. Share and spread knowledge
C. Contribute professionally beyond expected role and responsibility.

D. Be member-oriented
D. Be a good ambassador for Skuld
D. Put in an extra effort when needed

Why Skuld?

If you want to be part of the ocean industry and a highly international environment, Skuld is the perfect place to be. In Skuld you will be close to the business, have hands on responsibilities and excellent possibilities for both personal and professional development. We focus on service and quality in everything we do and constantly develop our business to meet the future needs of shipowners, the offshore and energy sector, charterers and traders, and the superyacht community.

We offer competitive benefits, a social workplace and inspiring leaders in a team-oriented organisation of close to 300 highly skilled and engaged employees. We are proud of the Skuld culture promoting work-life balance, empowerment, flexibility and trust. Together we build an inclusive and diverse workplace with equal opportunities regardless of gender, age, nationality, race, or other.

Are you ready to join the Skuld team? Do not hesitate to contact us.

Contact persons

To submit an application, please email your application to Anette Hansen, Senior Executive Human Recourses: [email protected]

Should you have any questions about the role, please contact:

Nick March

[email protected]

+65 6433 3842

Zoe Benfold

[email protected]

+44 207 3981481

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages ​​such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

Job Responsibilities

• Ensure brand integrity, messaging consistency, and strategy alignment throughout the marketing funnel and campaigns.
• Develop and oversee digital marketing strategies to drive lead acquisition and enhance online visibility.
• Measure and analyze digital marketing campaign performance, ensuring alignment with ROI targets.
• Collaborate with digital media to identify and secure media coverage opportunities suitable for the brands.
• Copywrite in English and transcreate (primarily from Chinese to English) for various formats, tones, and channels; coordinate with relevant teams to develop appropriate assets.
• Conduct ongoing research, brainstorm new ideas, and track trends to create engaging and relevant content.
• Work with internal teams to optimize advertisement copy and content, ensuring alignment with keywords, objectives, and budget.
• Collaborate with internal stakeholders to establish product positioning and marketing direction, including contributing to product naming.
• Manage corporate social media platforms (e.g., Instagram, Facebook, TikTok, YouTube), including content creation, posting, community engagement, social monitoring, and responding to feedback to boost brand awareness and customer engagement.
• Update marketing materials, maintain the content asset database, and communicate regularly with regional marketing teams.
• Collaborate with internal stakeholders in marketing and product teams to refine product positioning and direction.
• Support other marketing events and activities as needed.

Requirements

• Degree in Marketing, Communications, Languages, or a related field.
• Strong copywriting skills.
• Knowledge and interest in skincare, health, and wellness products.

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages ​​such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

Responsibilities:

• Oversee the daily operation and maintenance of IT systems, including servers, networks, and applications, ensuring high availability and reliability.
• Provide guidance, support, and training to mentor junior team members. Assist in developing and implementing IT operational policies, procedures, and standards to ensure compliance with best practices.
• Develop and maintain documentation for IT systems, configurations, and procedures, ensuring accuracy and accessibility for team members.
• Manage relationships with customers, vendors, and service providers, negotiating contracts and SLAs to ensure quality and cost-effectiveness.
• Respond to and resolve escalated IT issues and incidents, serving as a key point of contact for technical support and troubleshooting.
• Analyse IT operations metrics and KPIs, preparing reports and presentations for management to track performance and identify areas for improvement.
• Serve as a subject matter expert for IT operations staff, sharing knowledge and best practices to foster professional development and growth.
• Monitor IT system performance and security, proactively identifying and addressing issues to minimize downtime and prevent data breaches.
• Conduct regular audits and assessments of IT infrastructure and processes, identifying areas for improvement and implementing solutions.
• Collaborate with internal and external parties to support IT projects and initiatives, contributing to technical requirements, planning, and executing system upgrades, migrations, and deployments.
• Coordinate with the business and finance teams, overseeing budget calculations and purchase-related matters.
• Reporting to Team leader in daily basis for operation matter

Requirements:

• Bachelor’s degree in information systems, Computer Science, Engineering or equivalent
• At least 3-5 years of experience in IT infrastructure operations support within the ICT industry.
• Possessing technical hands-on experiences in troubleshooting of well-known hardware and software, including Routers, Switches, Firewalls, Wireless devices, Servers, PCs, Mobile devices, Office applications, and PDF tools.
• Intermediate knowledge of IT infrastructure, including networking technologies, is a plus: ITILv4, AWS, Azure, Cisco, HP, Dell, Fortinet, Palo Alto, SolarWinds
• Experience with incident management.
• Familiar with system administration tasks and competent in operating systems.
• Excellent communication skills.

To apply, please visit www.gmprecruit.com and search for Job Reference: 25000

To learn more about this opportunity, please contact Yingying at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

Job Title: Senior Food Hygiene Officer (FHO) – (Catering Company) (ID7155)
Location: Clementi
Working Hours: Mon to Fri 9am-6.30pm
Salary: $4000-$5000
*Benefits: AL 12days, Performance Bonus

Job Description:
The Food Hygiene Officer ensures that all food safety and hygiene practices comply with local regulations and company standards. This role focuses on monitoring kitchen operations, ensuring hygiene protocols are followed, and implementing corrective actions to maintain a high standard of food safety.

Responsibilities:
• Lead the development and implementation of comprehensive hygiene and safety protocols, ensuring compliance with regulatory standards set by SFA, MUIS, MOM, JTC and other relevant authorities.
• Conduct regular inspections and audits of facilities, identifying areas for improvement and implementing corrective actions to maintain cleanliness and hygiene standards.
• Oversee the training and development of staff members on proper sanitation practices, including food handling, storage, and waste management.
• Collaborate with cross-functional teams to develop and execute crisis management plans, ensuring preparedness for emergencies such as foodborne illness outbreaks or facility-related incidents.
• Manage relationships with vendors and suppliers to ensure the quality and safety of food ingredients and equipment.
• Spearhead initiatives to optimize facility operations, including waste reduction strategies, energy efficiency measures, and cost-saving initiatives.
• Act as the primary point of contact for regulatory inspections and audits by SFA, MUIS, HACCP and ISO, maintaining thorough documentation and records to demonstrate compliance with hygiene standards.
• Analyze data and trends related to facility and food hygiene metrics, providing insights and recommendations for continuous improvement.
Requirements:
• Singaporean or PR only.
• Diploma or certification in Food Hygiene or related field.
• Familiarity with Singapore food safety laws and guidelines.
• Proven experience in food safety or catering operations.
• Excellent organizational and communication skills.
• Attention to detail and ability to manage multiple tasks

Programme Management

• Key contact person for assigned programmes to coordinate and ensure smooth delivery of all assigned programmes.
• Ensure LMS course pages are set up in a timely manner.
• Provide prompt and accurate information and updates to students and relevant stakeholders.
• Support Lecturers on admin matters.
• Release of Examination information to current students.
• Monitor validity of student pass for international students.

Student Services

• Organize and conduct orientation for new students.
• Prepare and disseminate confirmed start classes / start term information.
• Work closely with CMs to resolve student issues.
• Process re-enrolment, re-exam, deferments, extensions, exemptions, programme transfer, withdrawal.
• Monitor attendance of students, administer warning letters / exam barring letters and provide monthly reports.
• Conduct regular class visits to understand student’s needs; engagement with parents / guardians to update on students’ progress.
• Conduct module evaluation; focus groups; student surveys.
• Support student on student portal, LMS and any other student support management system.

Data Management

• Update and maintain student records in PSB Academy’s proprietary data management system.

Finance

• Monitor student payment of course fees.
• Process student refunds.

Exams

• Liaise with Exam Centre for main and re exams (if applicable).
• Prepare examination nominal roll for Exam Centre.

Events Support

• Assist Reporting Officer in the running of events.

Others

• Any other ad-hoc duties as required by the company from time to time.

Requirements

• Degree in any discipline with at least a year of experience.
• Meticulous and self-motivated with strong organisation skills.
• Possess good time management and administration skills.
• Able to work individually and as a team player with customer-oriented mindset and good communication skills.
• Able to work under pressure in fast-paced work environment.
• Proficient in Microsoft Office applications.
• Prior experience in Private / Education Industry preferred.
• May be required to work on roster: 8am to 5.30pm or 10am to 7.30pm three to four times a month.

Weekends involvement:

• Open house - twice a year
• Grad ceremony - once a year

Job Title: Class 3 Delivery Driver (ID8355)
Location: Kallang, Singapore
Working Hour:5.5 days Monday to Friday 8:30am-5:30pm, Saturday 8:30am-12：30pm
Salary: $1900 - $2300

Job Description:
-Perform daily delivery and collection of goods
-Ensure delivery is done in a timely manner
-Pack and load goods as well as ensure items areproperly packed
-Receive and issue goods as per delivery order
-Perform other ad-hoc duties where required

Requirement:
-Possess a class 3 driving license
-One year experience in a similar capacity
-Prior experience in the logistics industry is advantage but not necessary
-Physically fit
-Driving 10/14ft truck

ROLE :

Maintain and enhance IT applications which includes implementing new enhancements to the applications, troubleshoot live issues to identify causes of the problems and providing workable solution to fix the issues.

Redevelop the existing e-services to cloud infrastructure and meet security (AIAS) requirements.

Perform design, programming, integration, system testing, assist users in User Acceptance Test (UAT), and documentation.

Generate unit tests and end-to-end test scripts using Azure technologies.

Troubleshoot, identify, solve issues and develop automated test cases to prevent similar issues.

See through all enhancements and fixes to ensure they are properly deployed to the testing and live environment within the agreed time. That includes working with the end users, server administrators, database administrators and the system analysts supporting the IT systems.

Experience and skills requirements

Degree in Computer Science, Information Systems, Information/ Infocomm Technology, Computer or Electronics Engineering or related discipline.

Must have minimum 3 years of working experience in this role and good experience in the following skills/technologies:

Frontend

JSP, JavaScript, Jquery, AJAX/JSON, ReactJS

Backend

J2EE (Weblogic, Tomcat) or Struts or Spring MVC or Spring Cloud or Spring Boot; Restful APIs; and

MS SQL or Oracle or PL/SQL.

Other requirements

Must have good communication skills and the ability to:

Understand and communicate in English, in speech and writing.

Work with other members in a dynamic and fast-moving team.

Work independently with minimum supervision.

Work on own initiative and adhere to deadlines.

Must have at least 3 years of good working knowledge in version control software like Git.

Added advantage with the following:

Development experience using Azure App Services, Spring Cloud, Tomcat, MS SQL, Azure DevOps Experience with RedHat Linus OS.

Spring MVC, Hibernate.

Experience in agile development and DevOps processes.

Experience in GIS map development.

Job Title: Customer Service cum Counter Sales (ID8262)
Location: Paya Lebar, Singapore
Working Hour：Mon-Fri, 8:30am to 5:30pm, Sat 8:30am to 1pm
Salary: $2300 - $2800

Job Description:
Deliver customer service to hotline calls, emails and walk-ins
• Processing of orders via various purchase options
• Processing enrolments of new customers
• Prepare daily sales report to ensure accurate payments received and stock quantities
• Assist with merchandise and spare parts purchase
• Filing of documents
• Checking of invoices with order forms to ensure invoices are keyed correctly
• Handle customer enquires
• Issue products to customers according to the purchases
• Packing of stock for deliveries and courier service
• Coordinate with courier to ensure timely delivery
• Daily stock count to ensure accurate and sufficient inventory level
• Order stock in to replenish
• Receiving of stock and arrangement of stock in warehouse
• Providing after-sales service (repair)
• Prepare inventory reports
• Any other ad-hoc duties

Requirement:
• Minimum 3 years of experience in customer service or sales administration
• Strong communication skills in verbally and in written
• MS Office Skills
• Able to work independently and good teamwork
Other information:
• AWS
• Transport, meal and OT allowance
• Medical and dental benefits

About Us
We are living in dynamic times. Technology is reshaping how we live, and we want to use it to redefine how financial services are offered. This is why we are coming together to unlock big dreams, and financial inclusion for people in our region is just one of them. We want to build a digital bank with the right foundation - using data, technology and trust to solve problems and serve customers.

We're seeking a driven and skilled Credit Risk Data Scientist to join our dynamic team. If you're passionate about predictive modelling, risk management, and leveraging cutting-edge technologies, this role offers an exciting opportunity to contribute in two key areas:

Credit Risk Models:

• Develop, maintain, and monitor predictive models for credit scoring, fraud detection, and suspicious activity prediction.
• Write high-quality, production-ready code for models to be deployed in the production environment.
• Deploy models in the MLOps production environment, maintaining and troubleshooting any issues.
• Support regular model performance reviews, audits, and recalibrations.
• Leverage alternative data sources to enhance underwriting and credit risk models.
• Ensure alignment with model governance, business, and regulatory expectations.

Data Analytics to Help Business:

• Collect, process, and analyze data to support statistical analysis and risk decision-making.
• Design, implement, and maintain performance reports and actionable insights dashboards.
• Provide data-driven insights and develop dashboards to support loan approval processes and business decision-making.
• Conduct in-depth analyses to identify trends, patterns, and anomalies in lending data that can influence credit risk strategies.
• Present model concepts and metrics to senior stakeholders and validators/auditors.

Experience and Qualifications

• Degree (PhD, Master's, Bachelor's) in Statistics, Mathematics, Economics, Finance, Risk Management, or related field.
• Proven experience building risk models such as Application Score, Behavior Score, PD, EAD, LGD (Basel or IFRS 9), especially for retail customers in diverse countries including Singapore.
• Comprehensive understanding of risk management throughout the customer journey within fintech or risk-focused environments.
• Domain expertise in retail credit products, banking, and regulatory frameworks (Basel, IFRS).
• Proficiency in Python, R, SQL, Snowflake and Data Visualization tools like Tableau.
• Technical proficiency in data retrieval, data modeling, data mining, and predictive modeling.
• Strong familiarity with advanced machine learning techniques, statistical classification/regression for credit risk.
• Exceptional problem-solving skills, detail-oriented mindset, and ability to thrive in a dynamic work setting.
• Bonus: Familiarity with implementing models using Terraform scripts, Docker/Kubernetes, CI/CD technologies, AWS, or MLOps.

Job Title: Senior/Catering Sales Manager (ID7059)
Location: Clementi
Working Hour: Mon to Fri, 9am-6.30pm
Basic Salary: $5000-$6000
*Benefits: AL 12days, Performance Bonus (Jan and July)

Job Description
• Respond to telephone/online catering sales enquiries.
• Build and maintain good client relationship and rapport.
• Solicit new corporate clients through cold calling and sales visit.
• Assist clients in professional event planning, packaging, and menu selection.
• Keep abreast of trends and developments in catering industry.
• Actively brainstorming of creative ideas in improving catering services to clients
• Account for sales and profitability of event orders and ensure smooth operations of catering functions.

Requirement:
• Possess O Level / Diploma / Degree in Business, Marketing
• Min 5 years of relevant experience in F & B industry.
• Able to converse effectively in English and Mandarin to manage Mandarin speaking clients.
• Self-discipline, proactive and have strong sense of urgency.
• Must be self-driven, dynamic, meticulous, creative and sales oriented.
• Outgoing personality, highly motivated, independent individual and yet an inclusive team player