JOB SUMMARY:

We are seeking a dynamic and experienced Project Engineer to lead the design, implementation, and management of integrated energy systems, including solar, battery storage, generators, IoT-enabled platforms, and smart utilities solutions. The role demands expertise in renewable energy systems, IoT technologies, and smart utilities, with a focus on creating sustainable, efficient, and future-ready infrastructure.

RESPONSIBILITIES:

Key Responsibilities

Project Design and Development

o Engineer integrated energy systems combining solar PV, battery storage, generators, IoT platforms, and smart utility solutions.

o Conduct energy audits, feasibility studies, and performance simulations for both energy and smart utility projects.

o Create designs for smart utilities, including energy-efficient lighting, water metering, HVAC systems, and waste management.

Smart Utilities Integration

o Develop and implement smart utility systems to optimize energy, water, and resource usage.

o Integrate IoT-based solutions for real-time monitoring of utilities such as smart meters, leak detection systems, and automated controls.

o Enhance infrastructure efficiency through predictive analytics and data-driven optimization strategies

System Integration

o Oversee hybrid energy system integration, ensuring seamless functionality between solar, battery, generator, and IoT solutions.

o Incorporate smart grid and distributed energy resource (DER) management capabilities.

o Design and integrate communication networks (e.g., Modbus, Zigbee, LoRaWAN) for utility and energy systems.

Project Execution

o Manage the end-to-end lifecycle of energy and smart utility projects, including planning, procurement, installation, commissioning, and handover.

o Collaborate with multidisciplinary teams, contractors, and third-party vendors to meet project goals.

o Ensure all projects comply with local regulations, codes, and safety standards.

IoT and Automation Solutions

o Design IoT-enabled control systems for energy management, utility monitoring, and automation.

o Implement smart dashboards, predictive maintenance systems, and user-friendly interfaces for clients.

o Resolve communication and integration issues between IoT devices and cloud platforms.

Quality Assurance and Maintenance

o Perform inspections, testing, and troubleshooting of energy and utility systems.

o Ensure high system reliability by implementing preventive maintenance schedules.

o Document all processes, configurations, and test results for compliance and auditing purposes.

REQUIREMENTS:

· Bachelor’s degree in Electrical Engineering, Renewable Energy, IoT Engineering, or a related field.

· Advanced degree or certifications in Smart Utilities, Energy Systems, or IoT Technologies is a plus.

· 3 – 4 years of experience in designing and managing solar, battery, generator, IoT, and/or smart utility projects.

· Proven expertise in hybrid energy system integration and smart infrastructure projects.

· Proficiency in energy modeling and simulation tools (e.g., PVsyst, HOMER, ETAP).

· Familiarity with smart utility systems like smart meters, advanced HVAC controls, and water management solutions.

· Hands-on experience with IoT platforms, protocols (e.g., MQTT, LoRaWAN), and communication technologies.

· Knowledge of renewable energy technologies, power electronics, and utility management systems.

· Proficiency in tools like AutoCAD, or other design and engineering software.

Keyrus is an international consulting firm, specializing in the integration of data intelligence and Digital solutions. With over 3000 employees spread across 20 countries, Keyrus continues to deliver on such projects to a wide range of clients from various industries including but not limited to Banking/Finance, Healthcare/pharmaceuticals, FMCG, Oil & Gas, and more.

As part of Keyrus’ solution delivery, we are also in a position to recruit and place technical consultants to complement on existing client projects with their expertise. As such, we seek innovative and agile people to support ambitious and forthcoming technological challenges.

We are looking for a skilled Application Support Analyst (L1/L2) for our client's team in Singapore. Candidate will provide support for Olympic (Core Banking) and related interfaces and systems. He will play a major role in handling Incidents, BAU service requests, end-user queries.

Responsibilities

• Provide L1/L2 Application support to end-users
• Ensure that unresolved tickets are escalated to appropriate individuals/teams based on established guidelines and procedures
• Provide a high level of customer services and maintains customer’s trust and confidence by creating positive customer relationships
• Adhere to Service Level objective target and roadmap
• Maintain knowledge articles.
• Assist on DR, BCP exercise and patching cycles

Requirements

• At least 5 years of experience in Banking industry as an IT Production L1/L2 support
• Good knowledge and experience in supporting banking products (Investment Instruments, Corporate Action, Loan, Deposits, Remittance, Foreign Exchange)
• Good knowledge on general ledger and general accounting schemes of financial products
• Knowledge and experience in supporting Olympic banking system is a strong plus
• Basic AS400 and Unix troubleshooting skills
• Strong knowledge on SQL queries, data analysis
• Familiar with Production support tools like ServiceNow and JIRA is a plus

Duration: 1 year contract

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 optimise 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.

Requirements

• 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.

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

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

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 No: R23117066 (CHEW KIA ZHENG)

• Position: Desktop Support Engineer (Band 1)
• Working Location: Jurong / Changi (Client Site)
• Working Days : 5 Days ( Mon- Fri)
• Working Hours: 8am-5pm
• Salary Range: $2,300-$2.800

Interested applicants can also send your resume to WA: +65 88278712(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: Desktop Support Engineer (Band 1)
• Working Location: Jurong / Changi (Client Site)
• Working Days : 5 Days ( Mon- Fri)
• Working Hours: 8am-5pm
• Salary Range: $2,300-$2.800

Interested applicants can also send your resume to WA: +65 88278712(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.

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.

About Sleek

Through proprietary software and AI, along with a focus on customer delight, Sleek makes the back-office easy for micro SMEs.

We give Entrepreneurs time back to focus on what they love doing - growing their business and being with customers. With a surging number of Entrepreneurs globally, we are innovating in a highly lucrative space.

We operate 3 business segments:

1. Corporate Secretary: Automating the company incorporation, secretarial, filing, Nominee Director, mailroom and immigration processes via custom online robots and SleekSign. We are the market leaders in Singapore with ~5% market share of all new business incorporations
2. Accounting & Bookkeeping: Redefining what it means to do Accounting, Bookkeeping, Tax and Payroll thanks to our proprietary SleekBooks ledger, AI tools and exceptional customer service
3. FinTech payments: Overcoming a key challenge for Entrepreneurs by offering digital banking services to new businesses

Sleek launched in 2017 and now has around 15,000 customers across our offices in Singapore, Hong Kong, Australia and the UK. We have around 450 staff with an intact startup mindset.

We have achieved >70% compound annual growth in Revenue over the last 5 years and as a result have been recognised by The Financial Times, The Straits Times, Forbes and LinkedIn as one of the fastest growing companies in Asia. Backed by world-class investors, we are on track to be one of the few cash flow positive, tech-enabled unicorns based out of Singapore.

Some other great things about working at Sleek…

Humility and kindness: Humility is a core attribute we hire for, which means we have a culture of not taking ourselves too seriously and being able to laugh. Kindness is also incredibly important. We are committed to creating and nurturing a diverse and inclusive environment.

Flexibility: You’ll be able to work from home 3 days per week. If you need to start early or start late to cater to your family or other needs, we don’t mind, so long as you get your work done and proactively communicate. You can also work fully remote from anywhere in the world for 1 month each year

Financial benefits: We pay competitive market salaries and provide staff with generous paid time off and holiday schedules.

Personal growth: You’ll get a lot of responsibility and autonomy at Sleek - we move at a fast pace so you’ll be making decisions, making mistakes and learning. There’s also a range of internal and external facing training programmes we run. We’re also at the forefront of utilising AI in our space and are developing a regional centre of AI excellence. It is our intention that if you leave Sleek, you leave as a more well-rounded person and professional.

Sleek is also a proudly certified B Corp. Since we started our journey in 2017, we’ve been committed to building Sleek as a force for good. In just over 5 years, we’ve joined a community of industry leaders like Patagonia, Ben & Jerry's, and P&G who are building an inclusive, equitable, and a regenerative economy. We have planted over 29,271 trees to reforest our ecosystem and saved 7 tons of paper from landfills by processing over 1.4M pages through SleekSign. We aim to be Carbon Neutral by 2030.

About the role

We’re seeking an enthusiastic and driven HR Intern to join our team for a 6-month internship. This role will support the HR Manager across various HR functions, from recruitment and onboarding to document management and event planning. You will play a key role in keeping our processes organised and ensuring our values are embedded in every aspect of our work

Mission: To provide reliable and proactive support to the HR team, managing administrative and recruitment tasks while championing our company culture

Outcomes:

1. Efficient Recruitment Support - Assist in posting job advertisements across relevant job boards within 24 hours of receiving the request, contributing to a streamlined end-to-end recruitment process. Complete all candidate coordination tasks within the stipulated timeline, with feedback from hiring managers indicating 90% satisfaction in support responsiveness.
2. Campus Recruitment Coordination - Support campus recruitment by assisting the HR Manager in building and maintaining relationships with at least three educational institutions, and prepare for two career fairs within the year. Track candidate engagement in the recruitment system with 100% accuracy for future follow-up
3. Office Environment Support - Assist in achieving a welcoming and well-stocked office environment by ensuring pantry supplies are checked and restocked weekly, managing vendor communication (cleaning, aircon servicing, etc.) with zero missed service schedules, and updating the HR Manager on any office issues for prompt resolution.
4. Intern Engagement - Collaborate with the HR Manager to develop and implement engagement initiatives that foster a positive experience for interns across departments. Organise at least one intern-focused events per quarter and coordinate team-building activities, ensuring a 90% participation rate and positive feedback
5. Social Media Support - Support HR branding and recruitment efforts on social media by assisting with the creation of engaging content for platforms such as TikTok and Instagram. Develop at least one creative content idea per week that showcases company culture and engages potential candidates. Track engagement metrics and share performance insights with the HR Manager monthly.

To do this, you will have:

• Currently pursuing a diploma or degree in Human Resources, Business Administration, or a related field.
• Strong passion for HR and people management, with a desire to learn and grow in the field.
• Excellent written and verbal communication skills.
• Proficiency in Microsoft Office Suite, particularly Excel and PowerPoint.
• Ability to handle sensitive information with discretion and confidentiality.
• Strong organisational skills and attention to detail.
• Effective team player with a positive attitude and willingness to contribute.

Behavioural fit is also important at Sleek, and we will be looking for candidates that have a proven track record of embodying the below attributes in their recent roles:

Ownership: This shows reliability and helps build trust within the team. We move fast and need to know that everyone will see things through to completion and proactively help to get things back on track when challenges arise. Accountability is really important to us.

Humility: There is so much we don’t know. Humility allows for open-mindedness to feedback and a willingness to learn from others. It paves the way for collaboration and creates a positive work environment. It is a key ingredient of self awareness and emotional intelligence.

Structured Thinking: Our business is complex with many layers (many services, many countries, many cultures). Regardless of whether you’re more analytical or creative in nature, being able to show sound judgement is important to us. It ensures solutions are pragmatic and balance the needs of the organisation, team and customers.

Data driven: We are a data rich business with ~15,000 small customers. Each decision we make can impact many more people than we realise - so it’s critical that we use sound data to support our strategies and review the success of our initiatives.

Can have tough conversations in a positive way: It’s not a matter of if, but when difficult interpersonal situations arise. Disagreement, conflict and disappointment are a given in a fast moving business where people care about their work. People that proactively have tough conversations with kindness build empathy, trust and great working relationships.

About the interview process

The successful candidate will participate in the below interview stages.

It might seem like a lot - but fear not - we come prepared! We anticipate the process to last no more than 3 weeks from start to finish depending on your availability.

Whether the interviews are held over video call or in person will depend on your location and the role.

Introductory call

• A ~30 minute video call with a member of our HR team to discuss your application and get a better understanding of your experience and expectations for the role

Career Exploration and Strengths Assessment

• A ~60 minute chat with the Hiring Manager to dive into your educational experiences, projects, or any relevant internships you’ve completed. This is an opportunity to discuss what you've enjoyed, where you’ve excelled, and any challenges you’ve encountered. Additionally, we’ll explore your key strengths, looking for alignment with the skills and mindset needed in HR, including communication, organisation, and attention to detail.

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 Description:

• Review tender specifications / customers’ requirements and prepare process design.
• Obtain quotation from vendors, suppliers, and subcontractors based on the requirements.
• Interact closely with vendors to understand new technologies and effective implementation of customer applications using vendor’s information.
• Interact closely with customers on technical information and clarifications.
• Prepare cost effective costings.
• Prepare commercial & technical proposals with specifications for timely bid submissions.
• Generate / coordinate P&ID and General Arrangement drawings.
• Work with Business Development Manager to apply costing and process design strategies to increase probability of winning bids.
• Coordinate with Process / Mechanical / Electrical & Instrumentation Team for technical clarification support if required.
• Follow up with customers on submitted proposals and potential opportunities.
• Negotiate with vendors and customers if required.
• Upon award of projects, review and verify completeness of PO contract and compliance with agreed requirements.
• Communicate and nurture relationships with customers to drive more opportunities.

Requirements:

• Degree in Environmental or Chemical Engineering.
• Knowledge or previous experience in water treatment process and municipal wastewater treatment such as Filtration, UF, RO, EDI, SRU, MBBR, MBR etc.
• Knowledge and experience on pumps, motors, valves, piping, mechanical and electrical components for oil and gas industry is added advantage.
• Minimum 5 years of relevant experiences.
• Strong verbal and written communication skills in English.
• Ability to prioritize multiple tasks and work on own initiative.
• Willing to travel for site visits, sales presentation to customers and technical clarification meeting occasionally.

• Assess the needs of patients, families, or healthcare providers to provide tailored recommendations for allied health services.
• Work with healthcare providers to create multidisciplinary treatment plans involving allied health professionals.
• Help individuals and families connect with appropriate allied health professionals, such as physical therapists, speech therapists, dietitians, and social workers.
• Educate patients and families about the roles of allied health professionals and the services they provide.
• Providing guidance, expertise, such as physical therapy, occupational therapy, speech therapy, and other specialized care.
• Assist familes and helpers in navigating healthcare systems, implementing support services, and ensuring effective outcomes.

• In-house Support IT
• Support and maintain WAN/LAN network links and equipment's
• Administration of the Servers
• Support and maintain the Firewall System
• Fault diagnosis and resolution of software and system errors on the desktop
• Fault diagnosis of desktop hardware and co-ordination of repairs and replacements
• Software installation and decommissioning of desktop hardware
• Outdoor / Onsite Project Support for IT Related Products
• Interactive Panel Firmware update
• Network Devices Firmware update
• IP configuration of network devices
• Support Product Preventive Maintenance
• Any other task assign by Superior

What it's about

Your main duties and responsibilities comprise the following tasks:
• Support senior members of the team, including Chairman of Asia, with client presentations/pitches, product updates, meeting preparation and overall fund raising efforts
• Perform various tasks related to product reporting, internal and client requests
• Initiate, organise and participate in calls and visits with institutional investors
• Support preparation of IHDDs
• Map out investor landscape in new markets
• Organise and attend a diverse array of client events

What we expect

• BA/BSc from a top tier university in finance, accounting, economics or a relevant discipline
• Min two years of experience in business development, marketing/sales and/or general finance/reporting functions
• Excellent analytical, interpersonal and presentation skills, and a strong desire to learn and succeed
• Attention to detail and quality
• A humble and enthusiastic individual with a passion for private markets
• An understanding of private markets and prior industry experience would be a distinct advantage
• Excellent level of business English – both written and verbal
• Excellent level of business Mandarin – both written and verbal, in view of supporting Greater China clients
• Proficiency in Microsoft Office, especially Excel and PowerPoint
• Willingness to work to tight deadlines in a challenging environment

What we offer

Partners Group is a global financial institution that retains the culture, pace and agility of a start-up. As a growing firm, we are committed to attracting, developing and retaining the very best talent, by offering a workplace where results are truly recognized and rewarded. We offer a fantastic opportunity for you to grow:
• Professional, international working environment
• Challenging, rewarding career within a growing company
• Collaborative environment, with on-the-job training and mentorship opportunities
• 25 vacation days
• One-month sabbatical after every five years of service
• Lunch allowance
• Education assistance program
• Fun office and team events, including volunteer opportunities to connect with and help our local communities

• Ensure vehicle is inspected regularly.
• Ensure proper maintenance of company vehicle
• Ensure company delivery guidelines and service standards are met
• Ensure traffic rules and regulations are observed
• Attend to Project Site enquiries when required
• Documentations by completing travel logs, OT hrs & maintenance records.

Job Descriptions:

1. Compensation & Benefits (C&B)

• Implement C&B Programs: Assist the Head of HR to manage the organization’s compensation structures, benefits packages, and incentive schemes to ensure market competitiveness.
• Salary Benchmarking and Analysis: Conduct regular salary benchmarking to stay competitive within the industry. Analyze market data and adjust pay structures as necessary.
• Policy Development: Create and update compensation and benefits policies, ensuring compliance with legal requirements and alignment with business needs.
• Compliance: Ensure adherence to statutory requirements (e.g., minimum wage laws, health and pension regulations) and manage annual audits for compensation-related processes.

2. Data Analytics and Reporting

• Reporting: Generate periodic reports and insights for senior management on compensation trends, turnover rates, and employee progression metrics.
• Any other duties assigned.

Requirements:

• Bachelor’s degree in human resources, Business Administration, or a related field (or equivalent work experience).
• Proven experience in HR with a focus on compensation, benefits, and/or career development.
• Proficient in HRIS, MS Office suite, including Excel and Word.
• Ability to handle sensitive and confidential information with discretion.