Duration: 1 to 1.5 months

Working Locations: Metropolis (Main) + Jurong island (Suraya), Bukom (Bus pickup availability for Jurong island/ Bukom)

Working Hours: Mon to Fri, office hours

Salary: Up to $2700

Job Description

• Provide basic IT support for internal users
• Responsible for maintenance of all mechanical and rotating equipment
• Provide documentation to ensure all equipment, technical records and drawings are updated to reflect the latest changes, proper and correct procedures are followed, configuration and software changes to mechanical equipment are documented, archived, and backed up for recovery.

Requirements:

• NITEC in Engineering or IT related discipline
• Flexible with roaming to multiple sites
• Candidates with both Engineering & IT experience (Technical Interview) required
• Knowledge of local regulatory requirements from Ministry of Manpower for workplace safety and equipment governance is an advantage.
• Experience in field work interfacing and stakeholder’s engagement.
• Excellent communication, analytical, problem-solving, and troubleshooting skills.
• Able to work in Team environment as well as standalone when need arises.

Interested candidates, please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile > https://go.persolkelly.com/job/apply/

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates collecting, using and disclosing my personal data for the purposes set out in the Privacy Policy which is available at www.persolkelly.com.sg I also acknowledge that I have read, understood, and agree to the said Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394

• Reg. R24124631 (Moh Cheng' En, Desean)

Retail Sales cum Tech Support

• Working Days & Hour : Monday-Saturday [ 10am-7.30pm ]
• Location: Rochor
• Salary: $2000 +

Requirements:

• Proven experience as a technician or other customer support role
• Tech savvy with working knowledge of office automation products, databases and remote control
• Good understanding of computer systems, mobile devices and other tech products
• Ability to diagnose and resolve basic technical issues

Job Scope:

• Serve as the first point of contact for customers seeking technical assistance through walk ins, over the phone or email
• Perform remote troubleshooting through diagnostic techniques and pertinent questions
• Determine the best solution based on the issue and details provided by customers
• Walk the customer through the problem-solving process
• Assist in onsite installation/service
• Assist in RMA processing
• Direct unresolved issues to the next level of support personnel
• Provide accurate information on IT products or services
• Record events and problems and their resolution in logs
• Follow-up and update customer status and information
• Pass on any feedback or suggestions by customers to the appropriate internal team

✅The Supreme HR Advisory Pte Ltd EA No: 14C7279

✅SAMUEL SIAW Reg No: R24124745

• Make sure smooth running of the Company’s computer systems and provide technical support to users both in office and on board vessels own/operated
• Support in implementation of new info-system management software

Requirements:

• Diploma and above
• At least 2 years of working experience in setting up and running new info-software systems

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R21100996

About the company

Our client, one of the world's leading insurance brokers and with focus on wholesale specialty business.

about the job

In this position as an Broking Support Specialist, you will be reporting to the HOD of the International Property team and work alongside with a small team of Brokers and Account Executives. The ideal incumbent will be expected to liaise with 3rd party cedents and be involved in client's renewals, mid-term adjustments, generating broking slips, generating reports and processing of broking documents.

The ideal incumbent will be expected to ensure transactions are conducted with full transparency, maintaining accurate records and dealing with correspondence appropriately.

** Offers hybrid work arrangement
** Office is located at CBD
** Attractive salary package, bonus and benefits

Experience and skills required

• 1+ years of experience in administration/policy support/underwriting assistant/claims support
• Excellent follow up skills and good administration skills
• Candidates from both life or non-life sector are welcome to apply
• Strong administrative skills and fast learner
• Ability to work well under pressure and tight timeline

If the above position interest you, kindly click on the ‘apply now’.

EA: 94C3609/R132534

Applicants must be fully vaccinated or have a valid exemption in accordance with MOM’s regulations to allow them to enter the workplace. Applicants may be required to share verifiable COVID-19 vaccination documents or proof of a valid exemption at the point of offer. Randstad Pte. Limited and/or the Client reserves the right to withdraw an offer if the applicant fails to provide verifiable COVID-19 vaccination and/or proof of exemption documents.

What the day will look like

Broker Support

• Co-ordinate the technical requirements/needs of the clients and reinsurers and deliver Aon projects to reflect these.
• Build and maintain regular contact with clients and reinsurers in a proactive manner to mitigate potential risks/problems or develop opportunities.
• Initiate/review/prepare reinsurance submissions/underwriting narrative/debriefs using proprietary technical knowledge.
• Provide technical support to service reinsurance placements: assisting brokers with new business opportunities, renewals, and mid-term adjustments.
• Update reinsurance placement activity on broker systems – processing data accurately and promptly.
• Preparing and checking contracts / endorsements / invoices.
• Work with internal departments to ensure prompt billing and timely issuance of documentation.
• Collaborate with internal departments to manage credit control for outstanding payments.
• Ensure compliance with local regulations and corporate governance.
• Communication and collaboration with clients and reinsurers: building relationships.
• Work on operational projects to improve service standards.
• Monitor revenue and prepare reports.
• Collaborate with colleagues throughout the Asia Pacific and Global Facultative network to achieve objectives
• Assist in management of broker support team where necessary

Skills and experience that will lead to success

• Bachelor’s degree or diploma in any discipline.
• 8+ relevant re/insurance experience preferably with exposure to Facultative Reinsurance.
• Proficient with various computer systems, including (but not limited to) MS Word, MS Excel, PowerPoint.
• Ability to communicate both written and verbal effectively and confidently.
• Attention to detail, ability to multi-task and ability to make/communicate difficult decisions.
• Ability to organize a wide range of tasks from various sources and prioritize workload to meet deadlines.
• Strong analytical skills, critical thinking and problem solving skills.
• Strong interpersonal skills, with the ability to interact effectively at various levels.
• Ability to work as an integral part of a team , fostering teamwork and cultivating relationships.
• Committed to delivering the highest level of customer service and quality.

• Perform pre- and post-sales technical support to customers.
• Provide support to the sales staff in technical presentations.
• Evaluate and establish a vision system performance specification.

Requirements:

• Diploma in any Engineering field
• At least 2 years of experience in field servicing and semiconductor industry.
• Able to troubleshoot electronics hardware system, PC hardware, OS and networking.
• Good understanding in Die Sorter or Wafer Sorter

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R21100996

• Position: Desktop Support Engineer (Band 1)
• Working Location: Tuas / Jurong / Changi (Client Site)
• Working Days : 5 Days ( Mon- Fri)
• Working Hours: 8am-5pm
• Salary Range: $2,600-$2,800

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Job Description

• Desktop Technician will provide day to day local\remote desktop support, receive inbound calls, answer questions, troubleshoot and document steps performed to resolve challenges with hardware, software and application issues in a ticketing system.
• Facilitate customer resolution for calls and engage their supervisors and managers to ensure operational consistency across all shifts within the IT Support Center.
• Desktop Support Engineer provides Break Fix, fault diagnosis and resolution.
• Providing fault analysis to customer’s various core operating systems and platforms, as well be able to provide support and apply desktop fault resolution for the approved application suite.

Position Responsibilities and Functions

• Provide first/second level contact and problem resolution for customer issues.
• Work with Third Party Vendors to remediate complex AV issues as needed.
• Provide timely communication on issue status and resolution.
• Maintain ticket updates for all reported incidents.
• Install, upgrade, support and troubleshoot XP, Windows 7, Windows 8.1, Windows 10 and Microsoft Office 2010, Cisco Jabber, another authorized desktop application.
• Should have basic knowledge of Mac operating system, to support Apple pc users.
• Install, upgrade, support and troubleshoot for printers, computer hardware.
• Performs general preventative maintenance tasks on computers, laptops, printers.
• Performs remedial repairs on Desktops, laptops, printers and any other authorized peripheral equipment.
• Use diagnostic tools to troubleshoot problems associated with network connectivity, and workstation hardware/software.
• Broad experience of IT with basic understanding of Networks, Servers, Audio/Visual, Smart Devices and Telecoms.
• This position requires the ability to work in a project-based environment requiring flexibility and teamwork. Performs other duties as assigned.

Qualifications and Skills

• Bachelor Degree or equivalent in Computer Science or related field.
• CompTIA A+, Microsoft Certified Professional (MCP) or better.
• 1-2 years’ experience in Windows Desktop support.
• Windows 7-10, Microsoft Active Directory, utilization of GPOs, MS Office 365, PC hardware installation and troubleshooting, Enterprise anti-virus solutions, Helpdesk ticketing systems.
• Mobile device management including IOS and Android devices, Enterprise encryption solutions, Windows PC/laptop management via Active Directory.
• Proven analytical, troubleshooting and problem solving skills.
• Willing to work off-hours and weekends when required for projects or emergency support.

In addition the Band 1 Technician will mentor and assist Band 0 technicians in their work and provide support to Band 2 Technicians in resolving tickets.

• Position: Aftersales Support Executive
• Working location : Boon Lay ( office)
• Working days : 5 days
• Working hours : 8am - 5pm
• Salary : $2,500-$3,500

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Description:

• Preparation of Quotation for both spare parts and service attendance to customer
• Preparation and issue service kits and spare parts to service engineers
• Maintain good rapport with customers
• Attend to technical enquiries from customers
• Pick & pack of spares when necessary
• Prepare shipping documentation and arrange delivery with courier companies

Job Requirements:

• Able to read and understand schematic and block diagrams(Training will be provided)
• Min. Diploma in Electrical and Electronic

Responsibilities

• Research, develop, and manage an extensive international network of business partners and plan prospecting activities to help identify new business opportunities to drive client growth
• Draft company and client presentations, industry-relevant articles, and research reports
• Support client relationship management, including client due diligence and onboarding, documentation and reporting, and on-going support
• Research and analyse companies, individual securities, investment asset classes, industries, and market and economic trends, and prepare relevant reports
• Monitor the performance of existing and proposed investments and prepare or review periodic investor reports
• Participate in client portfolio construction.

Requirements

• 3 years of experience in the finance industry, including business development and/or investment management
• Degree in business, finance, or a related field, with knowledge of fund management, investments, and finance
• Excellent communication, organizational, and problem-solving skills
• Ability to maintain confidentiality and handle sensitive information with discretion
• Proactively anticipate, troubleshoot, overcome, and/or escalate client and product needs/issues
• Good team player with a strong willingness to participate and help others
• High sense of urgency and good time management to prioritize tasks.

Interested candidates who wish to apply for the advertised position, please click on “Apply”. We regret that only shortlisted candidates will be notified.

EA License No.: 01C4394 (PERSOLKELLY Singapore PTE LTD)

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

Position: Technical Support Engineer

• Location: Henderson Road
• Working Hour: 5 Days work Week 9AM – 6PM
• Salary: $4,500 - $5,000

Requirements

• Have 3 to 5 years of experience in Mechanical Engineering. Marine engineering with mechanical knowledge will also be considered.
• Degree in Mechanical Engineering
• With hands on experience on compressors, turbines and pumps mechanically
• Be willing to travel if needed.

Job Scope

• Be the primary technical contact for customers and in house repair jobs
• Assist customers in the repair and maintenance activities, but also with Providing spare parts and associate services
• Identify and translate customers’ requests ;
• Handle technical incidents and establish reports (troubleshooting, expertise, gathering useful information for analysis
• Guarantee, when necessary, the proper processing of offers : spare parts, onsite interventions and repairs.
• Coordinate onsite interventions actions and ensure an ongoing communication to the customer.
• Provide technical assistance to the Repairs Department and Field Service Technicians + Business Centers ;
• Occasionally promote to customers, technical training sessions and sales of spare parts and repairs ;
• Initiate, together with the appropriate stakeholders, the implementation of corrective actions that arose from customer complaints/claims.
• Be the technical interface within the departments, such as Engineering, Purchasing, Sales, Production, Global Service and customers
• Identify potential sales opportunities and forward the information to the sales teams.
• Identify the spare parts needed for Sales team to quote to customer
• Recommend spare parts needed for regular maintenance/during troubleshooting
• Acts as last form of technical checks to make sure the spares quoted is according to customer’s requirement
• curb warranty costs.
• Be responsible for the collection of outstanding payments for the Customer Service department
• Maintain proper records of interaction with customers within the CRM tool
• Control offers and order confirmation as per applicable procedures

Chin Wai Loon Reg No: R24121618

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

Position: Sales Administrator (ECS)

Location: Henderson Rd

Working Time: Mon -Thurs (in office), Friday (WFH) - 8.30am - 5.15pm

Salary: $3200 - $3900

REPORTING LINE: Sales Director of Electrical Connectors Division

PURPOSE OF THE POSITION: You work as part of an office-based admin support to the ECS team of 4 sales engineers/director; coordinating between the sales team with customer/prospect visits, calls and e-mail.

• Provide support to Outdoor Sales Team on quotations and proposals
• Manage and follow-up tele-enquiries, email-enquiries
• Handling of incoming calls and collections
• Process of sales orders and ensure orders fulfilment
• Coordinating all deliveries to ensure efficient and effective services to the customers
• Create and maintain both inventory and customer databases
• Conduct mass mailing and tele-marketing periodically
• Assist in organizing exhibitions and seminars as and when needed
• Manage samples, catalogues and flyers
• Any other ad-hoc duties which may be assigned to you from time to time

Skills & Qualifications

• Diploma or equivalent
• Minimum of 3 years experiences in sales admin support
• Proficient in computer knowledge (Microsoft Office)
• Experience in SAP System will be advantage, Training Provided for SAP

✅The Supreme HR Advisory Pte Ltd EA No: 14C7279

✅SAMUEL SIAW Reg No: R24124745

Position: Executive Assistant
Location:Various Locations
Working days and hours: 5 Days 9am - 6pm
Salary: $2,800- $3,200

Interested applicants can also send your resume to WA:+65 8839 3566 (Ms Angel) and allow our Consultant to match you with our Clients.

No Charges will be incurred by Candidates for any service rendered.

LIEW ONN KEE REG NO : R22108518

THE SUPREME HR ADVISORY EA NO:14C7279

Job Overview:
We are seeking a highly competent and passionate Executive Assistant to support our school operations and provide support to our centre leaders and key appointment holders.

Key Responsibilities:

• Provide high-level administrative support by conducting research, preparing statistical reports, handling information requests, and performing clerical functions such as preparing correspondence, receiving visitors, arranging conference calls, and scheduling meetings.
• Manage the calendars of centre leaders, scheduling appointments, and coordinating meetings.
• Assist in the preparation and coordination of events and parent-teacher meetings.
• Act as a liaison between the executive team and other staff members, ensuring clear and efficient communication.
• Support the human resources department by processing employee onboarding paperwork, maintaining personnel files, and tracking employee vacation days.
• Coordinate with vendors, clients, and other members of the company to ensure that projects are completed on time and within budget.
• Manage the logistics of the school's bus fleet, ensuring proper scheduling, maintenance, and safety protocols are followed.
• Handle sensitive information in a confidential and professional manner.
• Support the implementation and upkeep of administrative systems and procedures.
• Assist in managing finances and budgeting, including preparing invoices, tracking expenses,doing basic bookkeeping, and creating financial reports.
  
  Requirement:
• Minimum of 3 years’ experience as an executive assistant or in a related role.
• At least a Diploma Level qualification in any field
• Knowledge of early childhood education industry is a plus.

Working Location: Changi
Working Days : 5 Days ( Mon- Fri)
Working Hours: 8am-5pm

Salary: $2600 - $2700

Job Description

• Desktop Technician will provide day to day local\remote desktop support, receive inbound calls, answer questions, troubleshoot and document steps performed to resolve challenges with hardware, software and application issues in a ticketing system.
• Facilitate customer resolution for calls and engage their supervisors and managers to ensure operational consistency across all shifts within the IT Support Center.
• Desktop Support Engineer provides Break Fix, fault diagnosis and resolution.
• Providing fault analysis to customer’s various core operating systems and platforms, as well be able to provide support and apply desktop fault resolution for the approved application suite.

Position Responsibilities and Functions

• Provide first/second level contact and problem resolution for customer issues.
• Work with Third Party Vendors to remediate complex AV issues as needed.
• Provide timely communication on issue status and resolution.
• Maintain ticket updates for all reported incidents.
• Install, upgrade, support and troubleshoot XP, Windows 7, Windows 8.1, Windows 10 and Microsoft Office 2010, Cisco Jabber, another authorized desktop application.
• Should have basic knowledge of Mac operating system, to support Apple pc users.
• Install, upgrade, support and troubleshoot for printers, computer hardware.
• Performs general preventative maintenance tasks on computers, laptops, printers.
• Performs remedial repairs on Desktops, laptops, printers and any other authorized peripheral equipment.
• Use diagnostic tools to troubleshoot problems associated with network connectivity, and workstation hardware/software.
• Broad experience of IT with basic understanding of Networks, Servers, Audio/Visual, Smart Devices and Telecoms.
• This position requires the ability to work in a project-based environment requiring flexibility and teamwork. Performs other duties as assigned.

Qualifications and Skills

• Bachelor Degree or equivalent in Computer Science or related field.
• CompTIA A+, Microsoft Certified Professional (MCP) or better.
• 1-2 years’ experience in Windows Desktop support.
• Windows 7-10, Microsoft Active Directory, utilization of GPOs, MS Office 365, PC hardware installation and troubleshooting, Enterprise anti-virus solutions, Helpdesk ticketing systems.
• Mobile device management including IOS and Android devices, Enterprise encryption solutions, Windows PC/laptop management via Active Directory.
• Proven analytical, troubleshooting and problem solving skills.
• Willing to work off-hours and weekends when required for projects or emergency support.

✅The Supreme HR Advisory Pte Ltd EA No: 14c7279

✅SAMUEL SIAW Reg No: R24124745

• Position: Aftersales Support Executive
• Working location : Boon Lay ( office)
• Working days : 5 days
• Working hours : 8am - 5pm
• Salary : $2,500-$3,500

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Description:

• Preparation of Quotation for both spare parts and service attendance to customer
• Preparation and issue service kits and spare parts to service engineers
• Maintain good rapport with customers
• Attend to technical enquiries from customers
• Pick & pack of spares when necessary
• Prepare shipping documentation and arrange delivery with courier companies

Job Requirements:

• Able to read and understand schematic and block diagrams(Training will be provided)
• Min. Diploma in Electrical and Electronic

• Technical Support Chemist (Segregation)
• Salary: S$3,200 – S$3,600
• Working Hours: 5 Days Monday to Friday: 8am to 5pm
• Location: Tuas, West Singapore (Company Transport / Transport Allowance $120 if candidate possess own transport)

Interested applicants can also send your resume to WA: +65 8016 4051 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Requirements

• Degree in Engineering or Chemistry
• At least 2 years relevant experience

Job scope
To supervise and support the functions of incoming waste segregation including bulk waste and loose waste as well as weighbridge.
To constantly monitor improve the department performance.
To conduct periodic review of existing workflows and procedures, and make recommendations for improvements and executing the improvement plans.
To supervise and ensure the effectiveness and smoothness of waste unloading, segregation and distribution.
Daily and regular inspection of the plant processes and monitor the working area 5S and TPM activities, safety and discipline at works, machineries and equipment conditions.
Ensure incoming waste streams being checked properly for suitable treatment processes and current safe work procedures are suitable for handling by operation staff.
As the core coordinator, lead and monitor the communication flow among internal departments on incoming waste discrepancy and revise related SOPs accordingly.
To evaluate and develop new treatment methods and handling procedures for new and unknown wastes, and review of operation costs and regular update to management.
To implement and supervise correct EHS practices within the department.
To work with resale for arrangement of recovered products to minimize the storage.
To prepare and analyse daily and monthly operation records/reports (e.g., cost, productivity, quality, nonconformance, etc) on plant processing and maintenance.
And follow up necessary corrective actions and monitor consistently to relevant department staffs to follow up closely.
Regular briefing / training to be conducted to department staffs for safety handling of high flammable solvent, MSDS, PPE requirement and risk assessment before operations.
To activate emergency response team of operation and maintenance staffs and response to any in house spill and fire incident if in case of emergency.
To liaise with EHS department to ensure fellow dept staff are upkeep with method of handling and emergency equipment usages in terms of spills and fire incident and to conduct regular practice and drill exercises with different scenarios to workers so that they are well familiar in emergency to response in time.
To ensure all fellow staffs are well trained according to OJT program and ensure they can follow up SOPs and work safely.

Secondary responsibilities

• To undertake any other tasks assigned by the Management from time to time.
• As an ISO committee member, to develop and implement documents for operation procedures, such as SOP, RA and MOC, SWP and participate in auditing the various departments as an Internal Auditor

• Prepare and implement commercial contracts and relevant documents (including trading, hedging and shipping contracts)
• Make sure the organisation’s contracts and documents are accurate and well maintained in a systematic database

Requirements:

• Diploma in Business/Finance/Maritime or equivalent
• At least 1 years of experience in Oil Trading industry

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R21100996

• Working Days: 5 days/week – 44 hrs (3 shifts)
• Salary: $2,200 to $3,100
• Potong Pasir

The Youth Guidance Officer position offers an exciting opportunity to make a meaningful impact on the lives of adolescents who have faced trauma and neglect.

In this role, you will provide essential support and guidance, fostering a safe and nurturing environment for residents. This position requires individuals with experience in youth mentorship, a compassionate approach to crisis management, and a commitment to helping young people navigate their personal challenges.

If you are passionate about empowering at-risk youth and want to be a positive role model in their journey toward healing and growth, this is the perfect opportunity for you!

Responsibilities

• Carry out the daily operational duties and supervise residents in their regular activities
• Assist residents with any difficulties related to day-to-day issues at Dayspring Residential Treatment Centre and ensure their welfare and safety
• Promote discipline among the residents and be a mentor/role model to them
• Assess, respond and handle crises or conflicts
• Carry out individual therapeutic interventions based on care plans by treatment team
• Participate in providing physical, emotional, spiritual, mental, educational, and social needs of residents

Requirement

• With experience in working with youth at-risk
• With basic processing and counselling skills
• With knowledge of common issues and disorders that appears in trauma and abuse
• Willing to work on 3-shift rotations and over weekend/Public Holidays

Interested applicants can email your CV to [email protected] or whatsapp to +65 89249206

The Supreme HR Advisory Pte. Ltd || 14C7279

Chua Jie Ying (Cai Jie Ying), Evelynn || EA Personnel License R24120580

Contract period: 12 months

Location: Raffles place

Responsibilities:

• Manage pipelines via channels such as sourcing, screening and referrals for multiple, complex searches to find and engage key technical talents of all levels.
• Collaborate closely with the Recruiting team (Recruiters, Coordinators, other Sourcers) & hiring managers throughout the recruitment lifecycle to ensure business's needs and goals are fulfilled.
• Develop a holistic business understanding and manage stakeholder relationships including HR, hiring managers, and external partners.
• Own and drive innovative sourcing strategies, initiate new projects and/or optimize current processes to improve recruiting process and efficiency.
• Conduct complex data analysis and share up-to-date, accurate, and value-adding market intelligence to business leaders to support business growth.
• Prequalify potential candidates to determine their qualifications.
• Own interview scheduling process and communicate logistics to both candidates and hiring teams.
• Manage candidate communication throughout the recruitment process and providing feedback.
• Ensuring a great candidate experience and advocate company as a great place to work for all candidates.

Qualifications:

• Proven experience with research/sourcing tools (ie. Boolean, LinkedIn and other alternative sourcing techniques) to identify & engage passive candidates within the internet industry talent space.
• Strong analytical and problem solving skills with capability to analyze high amounts of data to support business strategies and decisions.
• Excellent interpersonal skills with the ability to build rapport quickly with stakeholders and communicate effectively across all levels of the organization internally, as well as externally.
• Sourcing experience in a high-volume environment (via search firm or in-house recruiting environment)
• Experience partnering with recruiters, hiring teams and external partners across different offices.
• Ability to contribute in a fast-paced work environment and prioritize multiple functions and tasks.

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

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

https://go.persolkelly.com/job/details/10306

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R22108817 Lin JingYuan

Responsibilities

• Provide technical expertise on analyzing and providing best solution on complex technical issues in timely and efficiently;

• Engage with various teams on resolution and maintain effective communication between stakeholders;

• Manage vendor performance through service level management;

• Enhance existing support process to maintain/improve service level and quality;

Skills/Requirement

• Up to 5 years of IT experience & 3+ Years on Channels and Payment applications in banking/financial services industry.

• Knowledge on G3 and SWIFTalliance is preferred.

• Possess good knowledge on 3 tiers-architecture application to:

Provide L2 support – Be able to understand the application architecture, and interfaces to upstream/downstream.

• Support day-to-day IT operations – production issue resolution.

• Analyse issue raised by users or reported by monitoring system.

• Perform impact analysis and suggest workaround solution for service recovery.

Working Location: Changi
Working Days : 5 Days ( Mon- Fri)
Working Hours: 8am-5pm

Salary: $2600 - $2700

Job Description

• Desktop Technician will provide day to day local\remote desktop support, receive inbound calls, answer questions, troubleshoot and document steps performed to resolve challenges with hardware, software and application issues in a ticketing system.
• Facilitate customer resolution for calls and engage their supervisors and managers to ensure operational consistency across all shifts within the IT Support Center.
• Desktop Support Engineer provides Break Fix, fault diagnosis and resolution.
• Providing fault analysis to customer’s various core operating systems and platforms, as well be able to provide support and apply desktop fault resolution for the approved application suite.

Position Responsibilities and Functions

• Provide first/second level contact and problem resolution for customer issues.
• Work with Third Party Vendors to remediate complex AV issues as needed.
• Provide timely communication on issue status and resolution.
• Maintain ticket updates for all reported incidents.
• Install, upgrade, support and troubleshoot XP, Windows 7, Windows 8.1, Windows 10 and Microsoft Office 2010, Cisco Jabber, another authorized desktop application.
• Should have basic knowledge of Mac operating system, to support Apple pc users.
• Install, upgrade, support and troubleshoot for printers, computer hardware.
• Performs general preventative maintenance tasks on computers, laptops, printers.
• Performs remedial repairs on Desktops, laptops, printers and any other authorized peripheral equipment.
• Use diagnostic tools to troubleshoot problems associated with network connectivity, and workstation hardware/software.
• Broad experience of IT with basic understanding of Networks, Servers, Audio/Visual, Smart Devices and Telecoms.
• This position requires the ability to work in a project-based environment requiring flexibility and teamwork. Performs other duties as assigned.

Qualifications and Skills

• Bachelor Degree or equivalent in Computer Science or related field.
• CompTIA A+, Microsoft Certified Professional (MCP) or better.
• 1-2 years’ experience in Windows Desktop support.
• Windows 7-10, Microsoft Active Directory, utilization of GPOs, MS Office 365, PC hardware installation and troubleshooting, Enterprise anti-virus solutions, Helpdesk ticketing systems.
• Mobile device management including IOS and Android devices, Enterprise encryption solutions, Windows PC/laptop management via Active Directory.
• Proven analytical, troubleshooting and problem solving skills.
• Willing to work off-hours and weekends when required for projects or emergency support.

✅The Supreme HR Advisory Pte Ltd EA No: 14c7279

✅SAMUEL SIAW Reg No: R24124745

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.

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.

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.

• Position: Aftersales Support Executive
• Working location : Boon Lay ( office)
• Working days : 5 days
• Working hours : 8am - 5pm
• Salary : $2,500-$3,500

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Description:

• Preparation of Quotation for both spare parts and service attendance to customer
• Preparation and issue service kits and spare parts to service engineers
• Maintain good rapport with customers
• Attend to technical enquiries from customers
• Pick & pack of spares when necessary
• Prepare shipping documentation and arrange delivery with courier companies

Job Requirements:

• Able to read and understand schematic and block diagrams(Training will be provided)
• Min. Diploma in Electrical and Electronic

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.