Location: Yishun

Mon to Fri 8.30am to 5.30pm

salary: $3000-$3500

Japanese MNC

Have AWS & bonus

Industry: Electronic component manufacturing

Job Highlight

• Work life balance
• Career progression

Job Description

• Serve existing customers
• Understand customers’ needs, obtain feedback, and accurately forecast short-term and long-term requirements.
• Proactively explores business opportunities and expands market share including developing and implementing market penetration strategies to maximize business opportunities.
• Other adhoc duties as assigned.

Requirements

• No experience / Fresh / Entry welcome
• Diploma in engineering
• Ability to communicate effectively in English and to be bilingual (for business communication)

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.

Alternatively, you may also email your resume to us at [email protected]

Emily Fong

Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Working Location: Islandwide
Contract Duration: Up to 12 Months Contract
Working Hours: Monday – Thursday: 8.30am – 6pm, Friday: 8.30am – 5.30pm
Basic Salary: Up to $2,980 per month

Background:

This is a generic job posting for Entry Level applicants who are interested in a role within the Social Service sector. More details will be furnished during the screening process.

Responsibilities:

Your job duties may involve:

• Processing of Applications: Assist in processing and assessing online applications received in the system.
• Training Administration: Assist in training logistics such as setting up and tearing down of training venues, coordinating refreshments, and tech support.
• Data Management: Collecting, analysing, and presenting data on dashboards. (IT background preferred)
• Customer Service: Assist members of the public in promoting the use of digital/online services to apply for financial assistance. (Digital Ambassador)
• General Administration: Coordination of meetings, minutes taking, tracking of returns, data entry, etc
• Fieldwork: Assist Adult Protection Officers in field work.
• Other ad-hoc duties as assigned.

Job Requirements:

· Diploma or Bachelor’s Degree in Psychology / Social Work / Sociology / Early Childhood Education or other relevant disciplines.

· Immediate Starters are preferred (Not serving any notice period)

· Entry Level applicants with interest in the Social Service sector are welcomed to apply.

Interested candidates, please forward a copy of your resume to: [email protected].

We regret to inform that only shortlisted candidates will be notified.

Justin Lee
Registration No: R22107715
APBA TG Human Resource Pte Ltd
EA License: 14C7275

• Data Entry
• Customer Service
• 3 Months Contract

The Role:

• Perform data entry on customer information
• To follow up with colleagues / customer to ensure completeness of refund processing
• Monitor status of refunds to customers
• Track and tabulate reports of work progress
• Adhere to SLA

The Person:

• Proficient in Microsoft Excel, Word, Outlook
• IT savvy and keen to learn new software that will be taught on the job
• Independent, meticulous and accurate
• Good communication and interpersonal skills
• Able to commit for 3 months

Other Information

• Location: Tanjong Pagar
• Working Hour: Mon - Fri, 8.30am - 6pm
• Salary: $2200 per month

To apply please click on the APPLY NOW button or email your resume to [email protected] with the following details inside your resume for faster processing:

• Reason for leaving each past & current employment
• Salary drawn for each past & current employment
• Expected Salary
• Earliest availability date

We regret only shortlisted candidates will be notified. By submitting any application or résumé to us, you will be deemed to have agreed and consented to us collecting, using, retaining and disclosing your personal information to prospective employers for their consideration.

Yoong Poh Feng
EA License | 14C7092
EA Registration Number | R1105076

We are looking for a reliable and detail-oriented individual to join our team as an Admin & IT Support Assistant. If you enjoy working in a dynamic environment and have a knack for simple IT tasks, we’d love to hear from you!

Responsibilities

• Perform simple administrative tasks such as data entry and document filing.
• Handle data erasure and reformatting of incoming IT equipment (training will be provided).
• Assist in basic IT-related tasks such as software installation and testing.
• Organize and update inventory records.
• Ensure all tasks are completed accurately and efficiently.
• Might need to travel to customer office to perform installations once in a while.

Requirements

• Basic IT knowledge or interest in learning IT-related processes.
• Attention to detail and a high degree of accuracy in administrative work.
• Ability to follow processes and instructions closely.
• Good organizational skills and ability to manage time effectively.
• Able to work independantly.

What We Offer

• On-the-job training for IT tasks such as data erasure.
• 5 day work week.
• Opportunities to grow and learn new skills.

If you’re someone who enjoys both administrative work and hands-on IT tasks, we’d love to hear from you.

Are you ready to elevate your career in talent acquisition? At SearchAsia, we're not just another recruitment agency; we're pioneers in connecting extraordinary talent with exceptional opportunities. Our recruiters are the architects of tomorrow's workforce, shaping careers and forging lasting relationships. If you have a keen eye for potential and a passion for people, we invite you to join our innovative team!

Your Role

Client Acquisition

• Innovative Partnership Building: Develop deep, strategic relationships with clients to understand their unique staffing needs and craft tailored, innovative solutions.

Sector-Specific Pitching

• Bespoke Pitching Strategies: Create customized pitches that highlight our unmatched expertise and specialized offerings across diverse sectors, making us stand out in the marketplace.

End-to-End Recruitment

• Comprehensive Talent Management: Oversee the entire recruitment lifecycle, from discovering top talent to presenting elite candidates, ensuring a seamless and effective hiring process.

Talent Search

• Elite Talent Sourcing: Identify and engage with exceptional candidates, offering them unique and highly relevant career opportunities.

Candidate Engagement

• Strategic Relationship Management: Build and sustain robust relationships with candidates, expertly managing your network to match talent with the perfect roles.

Market Research

• Cutting-Edge Insights: Stay at the forefront of industry trends and market conditions to provide clients and candidates with insightful, data-driven advice.

Team Collaboration

• Collaborative Excellence: Work closely with a high-performing team to share insights, best practices, and drive overall team success.

What We’re Looking For

• Degree in Any Discipline
• People-Oriented Personality: Your genuine interest in people and ability to build meaningful connections set you apart.
• Influencing Skills: Your ability to influence and engage with diverse stakeholders is second to none.
• Passion for Recruitment: Your drive to achieve exceptional results for clients and candidates fuels your success.
• Enthusiastic and Positive: Your energy and positivity are contagious, inspiring those around you.

If our vision resonates with you, take the leap and become a Recruiter with SearchAsia. Be the curator of careers, the whisperer of opportunities. Here, you’re not just filling roles; you’re shaping destinies and transforming lives.

Our work culture is positive, fun, and collaborative, where every day brings new challenges and rewards. Join us and redefine recruitment. Apply now and embark on a journey to make a lasting impact. The future awaits – let’s shape it together.

Jocelyn Ho Wen Mun (R1658156) | EA License: 16S8107

[email protected]

https://www.handsfreetravel.com/

Your responsibilities

• Identify and analyze existing products and strategies in order to create innovative business approaches and opportunities.
• Monitor industry trends, competitive landscape, and product design and development in the marketplace to help create innovative product ideas.
• Work with cross-functional teams such as engineering and marketing to transform creative ideas into functional, saleable products and services.
• Conceive new and improved features by working closely with customer-focused teams to understand customer needs and transform them into product initiatives.
• Develop product roadmaps and manage the whole product lifecycle: from inception and prioritizing new features to final delivery.
• Regularly conduct feasibility studies and market research on potential product releases.
• Track metrics post-launch, to ensure products are delivering against key performance indicators.
• Make strategic and data driven decisions to prioritize certain product features over others and adjust as necessary.
• Deep strategic analysis to answer core questions such as: How can we help advertisers see better performance? Why do SMB advertisers churn? Who should our target audience be?
• Opportunity sizing and analysis. Write clear, actionable analyses that help teams identify areas of improvement and investment.
• Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc.
• Creating and tracking success metrics. Identify the right measures of success for engineering teams and help them track those metrics. Break down high-level metrics into actionable segments. This work may span from collecting entirely new datasets to building dashboards to track components of a metric.

What you'll need to succeed

• Proven experience as a Product Manager (at least 5 years related working experience), with a track record of managing all aspects of a successful product throughout its lifecycle.
• Understanding in software development knowledge, can communicate well with customers and development
• Ability to analyze data and iteratively optimize products based on data
• Ability to create and deliver presentations tailored to the audience needs.
• Strong problem-solving skills, coupled with effective communication and adept decision-making capabilities.
• Good project management skills with the ability to balance multiple concurrent projects.
• Experience with driving the product vision, go-to-market strategy and design discussions.
• Bachelor's degree in a relevant field.
• 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
• Strong background in statistics, machine learning, and/or experimentation
• Domain knowledge in advertising and product development.

We are seeking a talented and a motivated Senior Data Engineer to join our dynamic team. As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. You will collaborate closely with cross-functional teams to understand data requirements, optimize data models, and ensure the reliability and performance of our data systems.

Key Responsibilities:

 Design, develop, and maintain robust data pipelines to ingest, process, and transform large volumes of structured and unstructured data from various sources (e.g., Database, API, SFTP).

 Build and optimize data models and schemas to support efficient data storage, retrieval, and analysis.

 Implement data integration solutions to consolidate data from disparate systems and sources.

 Work closely with Data Scientists and Analysts to understand their requirements and provide them with clean, reliable, and well-structured data.

 Collaborate with DevOps and Infrastructure teams to deploy and manage data infrastructure in cloud environments (e.g., AWS, Azure).

 Familiar with the concept of data security to ensure the data pipelines are secured and PII (Personally Identifiable Information) data are encrypted.

 Monitor and optimize the performance, scalability, and reliability of data systems to ensure high availability and low latency.

 Design and develop MLOps production pipelines; provide technical support to data scientists/ML engineers by getting their ML/DL models deployed at scale and meeting SLAs on both cloud and on-premises GPU and CPU instances.

 Develop and maintain documentation, standards, and best practices for data engineering processes and technologies.

 Stay current with emerging technologies and trends in data engineering and contribute to the continuous improvement of our data architecture and practices.

 Explore, evaluate, and champion the introduction of next-generation technologies in the data-ingestion workflow. Participate in project planning and provide technical guidance on cloud architecture for data projects.

Requirements:

 BS in Computer Science or other related discipline is required. Advanced degrees in Computer Science (PhD, MS) are highly desirable.

 Proven experience (3 years) working as a Data Engineer or in a similar role.

 Strong proficiency in programming languages such as Python. Conversant with data structures and algorithm design.

 Hands-on experience with distributed computing frameworks and big data technologies such as Spark, Kafka, etc.

 Proficiency in SQL and experience with relational databases (e.g., Azure SQL DB, AWS Redshift).

 Experience with data modelling, ETL/ELT processes, and data warehousing concepts.

 Familiarity with cloud platforms and services (e.g., AWS S3, AWS Step Functions, AWS Airflow, Azure Data Logic Apps, Azure Blob Storage).

 Experience with setting up SSO using AD and implementing RBAC (Role Based Access Control) for data security.

 Excellent problem-solving skills and attention to detail.

 Effective communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

 Experience with version control systems (e.g., Git) and CI/CD pipelines is a plus.

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.

To process the following requests received from policyholders:

• Policy loan and surrender
• Change of address and contact
• Preparing documents for scanning into imaging system

Job assigned includes:

• Checking of completeness of documents submitted
• Checking of eligibility of application
• Typing of letters
• Any other ad hoc duties assigned by supervisors

Joy Yeow Zhi Qian

(CEI Registration No:R2096261)

Recruit Express Pte Ltd (EA Licence No: 99C4599)