Total 2,838 tech support job vacancies in Tanah Merah, Harbourfront and Marina Bay, North East

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us:

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

Global E-Commerce is a content e-commerce business with international short video product as the carrier. It is committed to becoming the first choice for users to discover and purchase good products with affordable prices. Global E-Commerce business team hopes to provide users with more tailored, agile and efficient consumption experience, enabling merchants to receive steady and reliable platform services in different scenarios such as live e-commerce, short video content e-commerce, so as to make more affordable and high-quality products sell easily and a better life within reach.

The global supply chain and logistics team is at the forefront of revolutionizing e-commerce, powering the entire lifecycle of goods on our dynamic platform. From sourcing top-quality sellers and products to sparking interest sales and ensuring seamless fulfillment and delivery, we are crafting a cutting-edge digital supply chain solution that delivers unparalleled efficiency, collaboration, and management across multiple industries and roles.

Our vision extends beyond the digital realm, as we build and optimize offline logistics capabilities, including state-of-the-art warehouses, streamlined customs processes, robust transportation networks, and efficient distribution systems. By integrating advanced data intelligence, smart equipment, and innovative operational strategies, we empower merchants with enhanced logistics capabilities, guaranteeing reliable fulfilment and elevating the consumer experience on our platform. Our technology also helps our third-party logistics partners improve their operations, ensuring orders reach our customers faster and cheaper, and reducing fault tolerance throughout an order's journey from seller to buyer.

Responsibilities:

- Develop efficient, highly scalable and secured services to build/integrate logistics systems for domestic and global TikTok Shop E-commerce.

- Optimize backend systems and services for data security, modularity, computational efficiency and scalability.

- Deliver best-in-class engineering excellence practices across all product engineering disciplines.

- Oversee the acquisition and development of software systems in organisational units.

- Monitor the results and quality of the different software solutions and projects implemented in the organisation.

- Oversee the development of Proof-of-Concept/ solutions and provide technical expertise on the development of software and platform features, ensuring that appropriate security and risk factors are considered.

Qualifications

Minimum Qualifications:

- Bachelor's or higher degree in Computer Science, Information Technology, Programming & System Analysis, Science (Computer Studies) or related discipline.

- Candidate should have at least 5 years of experience in at least one programming language such as Java/Golang/C++, and related technology stacks.

- Familiar with commonly used middleware, such as message queues, caches, scheduled tasks, etc., and understand the principles of middleware.

- Possess certain experience in architecture design and implementation, and have a good accumulation in high-availability, high-performance, and high-scalability architectures.

- Deeply understand the related theories of distributed systems, such as load balancing, distributed transactions, CAP/BASE, etc.

- Have led the design or reconstruction of medium and large complex systems.

Preferred Qualifications:

- Experience in e-commerce and retail related fields is preferred.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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.

• Minimum of 2years of experience in desktop application administration and support.
• Strong knowledge of GL OMS trading platforms and SGX applications.
• Familiarity with workflows involving SGX, SSH, and SFTP protocols.
• Proficiency in Level 1 network troubleshooting, including kiosk PC and network switch support.
• . Monday to Friday (5-day workweek).

 Covid-19 vaccination compliance is mandatory.

JD :

· IT Support Desk Engineer plays a critical role in ensuring the smooth operation of an organization’s IT systems, hardware, software and operational devices. The role will serve as the first point of contact for end-users experiencing technical issues, offering remote or onsite support, troubleshooting hardware and software problems, and maintaining high levels of customer satisfaction.

Skills

· Proficiency in troubleshooting Windows operating systems.

· Familiarity with Active Directory, Microsoft 365 & MS office products.

· Basic understanding of networking (TCP/IP, DNS, VPN).

· Experience with ticketing systems (like ManageEngine-ServiceDesk or Similar).

· Any Windows Server knowledge will be added advantage.

Education

· Diploma or bachelor’s degree in computer science, Information Technology, or a related field.

Experience

· Minimum 3 years in an IT support or helpdesk environment preferred.

· First level support to users in Singapore Operations and Extended Operations in other regions for hardware, software, and network-related issues.

· Diagnose and resolve technical issues in a timely manner, escalating to higher levels of support when necessary.

· Install, configure, and maintain desktop computers, laptops, printers, and other peripherals.

· Assist with the setup and maintenance of user accounts, permissions, and access controls.

· Monitor, Assign and report Service Desk tickets.

· Ensure software updates and patches are deployed regularly.

· Monitor system performance and network stability, reporting issues promptly.

· Assist with backup and recovery processes to ensure data integrity.

· Collaborate with IT teams to deploy system upgrades and new technologies.

· Work with other vendors which need secondary support and ensure closure of issues.

· Document reported issues, resolutions, and follow-up actions in the ticketing system.

Additional details:

Job Type : 12 months Contract - Extendable

Location : Jurong East

EA License No: 11C4879 / Registration ID : R1218583

Apar Technologies Pte Ltd, Singapore

• Minimum of 2years of experience in desktop application administration and support.

• Strong knowledge of GL OMS trading platforms and SGX applications.

• Familiarity with workflows involving SGX, SSH, and SFTP protocols.

• Proficiency in Level 1 network troubleshooting, including kiosk PC and network switch support.

• Monday to Friday (5-day workweek).

Covid-19 vaccination compliance is mandatory.

• Minimum of 2years of experience in desktop application administration and support.
• Strong knowledge of GL OMS trading platforms and SGX applications.
• Familiarity with workflows involving SGX, SSH, and SFTP protocols.
• Proficiency in Level 1 network troubleshooting, including kiosk PC and network switch support.
• . Monday to Friday (5-day workweek).

 Covid-19 vaccination compliance is mandatory.

POSITION SUMMARY

An IT support individual is in charge of supporting end user technologies, including desktop, printers, devices and potentially network and systems of all types, providing technical support and ensuring the whole company runs smoothly. IT Support monitors and maintains the company computer systems, installs, and configures hardware and software, and solves technical problems.

JOB RESPONSIBILITIES

• Provide support for end user desktops and laptops which include but not limited to internal hardware component replacements.
• Network, Desktop & Server OS support & administration.
• Provide first level troubleshooting & installation of software or firmware applications.
• Install, support & maintain IT peripherals such as keyboard, printer, projector & others.
• Support recurring tasks such as back up, patch management, IT system monitoring, cyber-security protection from viruses and spam wares attack, etc.
• Liaise & coordinate with IT vendors/suppliers on IT purchases, projects & support IT systems.
• Update IT inventory & Licences, ensuring appropriate and sufficient level of vendor support.
• Attend to emergency calls & weekend /off hours support.
• Any other responsibilities & ad hoc assignment as required.

JOB REQUIREMENTS

• NITEC or higher.
• Min 1 year experience in IT field works.
• Knowledge of current Windows & mobile operating systems.
• Good knowledge in IT hardware & administration support for Microsoft Windows.
• Strong analytical & problem-solving skills.
• Candidates familiar Microsoft Dynamics NAV, Microsoft Windows.
• Server & Microsoft SQL Server will have an added advantage.

Responsibility of / Expectations from the Role

1 Responsible to handle coverage support (24x7 mobile support) and provide permanent solution / workaround depending on the nature of issue.

2 Collaborate with interface teams to troubleshoot any interface issues and provide resolution.

3 Collaborate with Business users and stakeholders to understand and troubleshoot issues and provide resolution.

4 Work with Infrastructure / Cloud operations teams for any change requests, issues, patching activities etc.

5 Perform deployment release management activities.

6 Collaborate with development squad to provide insights for defect fix by providing analysis performed.

EA Number: 11C4879

Responsibilities

• Provide high-performance technical solution to financial platform
• Develop a robust quantitative research infrastructure through back testing systems and distributed computing solutions
• Build and optimized big-data infrastructure to capture complex and diverse needs for research

Requirements

• Bachelor or Master degree in Computer Science, IT or similar discipline with a strong academic background
• Minimum 2 year experience in C++ development, candidate with development experience in financial / banking sector will be an advantage
• Familiar with the Linux environment, multithreading, TCP, UDP communication
• Knowledge of Flink/Elasticsearch/Kafka/Nginx/MySQL/Redis/Docker/K8s
• Wiliness to learn with great interest in financial, fintech industry

Quantitative Trading Engineer / Quantitative Researcher

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

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

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

Data Analysis：

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

Financial Modeling:

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

Strategy backtesting and real-time testing:

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

Requirements

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

Bonus Skills

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

Responsibilities:

• Build, configure and implement ultra-low latency system from end-to-end
• Reduce latency through algorithm and network optimization
• Measure and optimize system performance to fulfill customer needs, and innovating to continually improve
• Cooperate with development teams to ensure that services and platforms are designed with reliability

Requirements:

• Bachelor’s degree in computer science or a similar discipline with a strong academic background
• Proficiency in C++, C++11 and above, familiar with Python or other scripting languages
• 5+ years of development experience in financial services or tech firms
• Familiar with using Flink, Clickhouse, Elasiticsearch, Redis, Kafka etc on linux system or related optimization skills
• Prior working experience in AWS, Alicloud etc is preferred
• Fluent in both English & Mandarin in order to communicate effectively with colleagues across different regions

Quantitative Trading Engineer / Quantitative Researcher

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

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

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

Data Analysis：

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

Financial Modeling:

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

Strategy backtesting and real-time testing:

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

Requirements

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

Bonus Skills

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

Responsibilities

• Work on large scale unstructured data with data science techniques to extract
  insights to model financial market and advise team on identifying strategic
  trades in the financial markets
• Apply feature engineering on financial market data, social media data,
  blockchain data and market trends
• Identify market trend / pattern based on own analysis and present the insights
  to stakeholders

Requirements

• Bachelor’s or Master’s degree from top university, preferably majors in Mathematics / Statistics/ Computer Science/ Financial Engineering/Engineering
• Solid quantitative and analytical skills, and experience in back-testing/simulation
• Hands-on experience on defi protocols and good knowledge of blockchain basics
• Strong programming skills (Python or C++ or Java etc)
• Ability to work autonomously and/or remotely in a team
• Entrepreneurial mindset and adaptability to a dynamic environment

• Role title - Admin Executive
• Work location – CHIJ Kellock, 1 Bukit Teresa Road Singapore 099757
• Name of Authority - Ministry of Education, Singapore
• Salary: $1700-2100 (Negotiable)
• Nationality/Citizenship: Singaporean/PR
• Duration – 12 months (renewable )

Personnel to be deployed at the following hours: 

• Mondays to Fridays: 7.30am to 12:30pm.
• Service not required on Saturdays, Sundays and gazetted public holidays

The Services required are set out as follows:

a. Typing / printing

b. Data entry work

c. Reception duties

d. Answering telephone calls from teachers, parents and members of the public

e. Data collation of surveys

f. Preparation of refreshements for school event

g. Sorting and delivery for items delivered to the school

h. Attend to students who are unwell / injuried in the sick bay.

i. Assist school staff with binding and lamination works

j.Maintain the school’s stores for office supplies and stationeries

k. Other ad-hoc duties

Responsibilities -

• Partnership and Sponsorship Management:

1. Identify, qualify, and manage leads.
2. Maintain strong relationships with potential clients, industry partners, and stakeholders.
3. Support to develop and deliver compelling proposals and presentations for clients, industry partners, and stakeholders.

• Market Research & Insight Development:

1. Collaborate with the BD Manager to implement strategies aimed at meeting sales and revenue targets.
2. Managing partnership, ensuring prompt follow-ups and effective communication.
3. Track sales performance and provide insights to improve processes and outcomes.

• Client Relationship Management:

1. Handle extended portfolio/verticals of clients, partners and key clients.
2. Act as a point of contact for clients, helping to address their inquiries and escalate issues when necessary.
3. Assist in managing client expectations, resolving problems, and ensuring high levels of client satisfaction.

• Corporate Communications:

1. Coordinate with external PR agencies to input relevant contents to website

• Collaboration with inter-departments:

1. Work closely with Marketing, Product, and Operations teams to support the execution of business development strategies.
2. Provide insights and feedback from clients and market research to help refine product offerings and marketing campaigns.
3. Ensure proper communication and collaboration between departments for seamless execution of projects and initiatives.

• Market Research and Analysis:

1. Conduct comprehensive market research to identify emerging business opportunities and industry trends.
2. Prepare reports and presentations based on research findings to support decision-making processes.

Requirements -

• 2-4 years of experience in marketing & communication and market research
• Hands-on experience in BD or project execution
• Experience in managing projects from planning to execution
• Ability to work independently and as part of a team
• Strong organizational and time-management skills
• Strong in spoken & written English

About DigiFT

DigiFT makes it easy for Web3 companies to invest in TradFi assets by providing on-chain access to institutional-grade assets. With our Tier-1 regulatory license, we ensure that investments are not just protected, but secure and transparent.
For asset owners, particularly financial institutions, DigiFT enables them to issue blockchain-based security tokens that investors can trade with continuous liquidity using an Automated Market Maker (AMM).

DigiFT is Asia's first regulatory-compliant exchange for on-chain real-world assets to be licensed by the Monetary Authority of Singapore as a Recognised Market Operator and Capital Markets Services provider. Established in Singapore in 2021, DigiFT is dedicated to meeting regulatory requirements in the markets it operates in, while delivering innovative yet responsible financial solutions that push the boundaries of financial services.

Role Description

The Group Risk Officer will be responsible for overseeing and managing the overall risk management strategy for DigiFT, ensuring that all risks across operational, financial, compliance, and strategic areas are identified, assessed, and mitigated. The role will involve working closely with senior leadership to ensure that risk management processes are aligned with the company’s objectives and regulatory requirements.

Key Responsibilities:

• Develop, implement, and maintain the company’s risk management framework and policies to identify, assess, manage, and mitigate risks.
• Oversee risk management across all areas including financial, operational, compliance, cyber, strategic, and reputational risks.
• Lead the company’s efforts to ensure that risk management processes are aligned with best practices and regulatory standards.
• Advise the senior management team and the board on emerging risks and the effectiveness of risk mitigation strategies.
• Work closely with internal departments to ensure a culture of risk awareness and compliance across the organization.
• Lead and conduct risk assessments for new projects, products, services, and market expansions.
• Prepare regular risk reports and dashboards for the board, management, and other stakeholders.
• Monitor external risk factors, including regulatory changes, industry developments, and market trends, and recommend proactive strategies to mitigate potential risks.
• Ensure the development of crisis management plans, business continuity strategies, and other frameworks to handle unforeseen risks and events.
• Develop and implement risk training programs to raise awareness and educate employees about risk management principles and procedures.

Key Requirements:

• Bachelor’s degree in Business, Finance, Risk Management, or related field (Master’s degree or professional certification in risk management preferred).
• Proven experience (7+ years) in risk management, internal controls, or compliance, preferably in the tech, financial, or fintech industry.
• Strong understanding of risk management frameworks, industry regulations, and compliance standards.
• Excellent analytical, problem-solving, and decision-making skills.
• Proven ability to work independently and as part of a cross-functional leadership team.
• Excellent communication and presentation skills, with the ability to engage and influence senior leadership and board members.
• High level of integrity, accountability, and attention to detail.
• Strong project management skills with the ability to handle multiple initiatives simultaneously.
• Familiarity with risk management software and tools.

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.

We are seeking an experienced AWS Security Engineer to design, evaluate, and enhance the security of our cloud infrastructure. The ideal candidate will be well-versed in AWS services, with a focus on securing containerized architectures (ECS, EKS) and cloud-based services (EC2, S3, IAM).

Responsibilities:

• Develop and implement security strategies and best practices for AWS services, including ECS, EKS, and EC2.
• Configure and maintain IAM roles and policies with a principle of least privilege.
• Regularly audit and evaluate AWS account security, including S3 encryption, network access controls, and logging.
• Ensure the security of containers (Docker) and orchestration platforms (ECS, EKS).
• Implement container image scanning to identify and remediate vulnerabilities.
• Manage and optimize runtime security configurations for containerized environments.
• Configure and maintain AWS native security services such as GuardDuty, Inspector, and Security Hub.
• Design and implement real-time intrusion detection and incident response processes.
• Investigate and mitigate security incidents, providing post-incident analysis and recommendations.
• Design secure VPC architectures, including subnet isolation, security groups, and NACL configurations.
• Configure Web Application Firewalls (WAF) to protect against common attacks such as SQL injection and XSS.
• Optimize AWS Shield and other DDoS protection mechanisms.
• Conduct regular security audits and generate reports to assist with third-party assessments.
• Develop and maintain automation scripts (Python, Shell) to streamline security tasks.
• Integrate security checks into CI/CD pipelines.

Requirements:

• Degree in IT/Computer Science/Engineering or equivalent.
• Expertise in AWS cloud security, Proficiency in Docker and container orchestration security.
• Familiarity with vulnerability scanning, penetration testing, and compliance tools.

• Position: Desktop Support Engineer (Band 1)
• Working Location: Tuasx2 / Jurong / Changi (Client Site)
• Working Days : 5 Days ( Mon- Fri)
• Working Hours: 8am-5pm
• Salary Range: $2,700-$3,200

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

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.

To develop and execute content strategies that drive brand awareness, engagement, and growth.

Key Responsibilities-

• Content Strategy & Creation:

1. Develop and implement content strategies aimed at driving awareness, engagement, and virality across digital platforms.
2. Design and create high-quality creative materials for various digital platforms (web, social media, email) and print, ensuring alignment with brand identity and business objectives.

• Audience Engagement:

1. Manage and expand the audience across owned media channels, including social media and email marketing.
2. Analyse content performance and audience insights to optimise future content strategies and improve engagement metrics.

• Cross-Functional Collaboration:

1. Collaborate closely with internal teams such as business, product, sales, and operations to deliver cohesive solutions that meet project requirements and deadlines.
2. Ensure all content aligns with the broader company goals and supports marketing campaigns.

• Support & Administrative Tasks:

1. Assist in organizing and managing marketing-related meetings, including taking minutes and preparing reports as needed.
2. Provide general support to the marketing team, including project coordination and task management.

Requirements:

• Proven experience in executing marketing strategies, including social media, email marketing, and content marketing, with familiarity in tools such as Google Analytics and social media management platforms.
• Basic skills in motion design and video production to enhance content creation for digital platforms.
• Strong ability to analyse content performance and implement improvements based on data-driven insights.
• Ability to manage multiple tasks and meet strict deadlines, while maintaining high-quality output.

About DigiFT

DigiFT makes it easy for Web3 companies to invest in TradFi assets by providing on-chain access to institutional-grade assets. With our Tier-1 regulatory license, we ensure that investments are not just protected, but secure and transparent.
For asset owners, particularly financial institutions, DigiFT enables them to issue blockchain-based security tokens that investors can trade with continuous liquidity using an Automated Market Maker (AMM).

DigiFT is Asia's first regulatory-compliant exchange for on-chain real-world assets to be licensed by the Monetary Authority of Singapore as a Recognised Market Operator and Capital Markets Services provider. Established in Singapore in 2021, DigiFT is dedicated to meeting regulatory requirements in the markets it operates in, while delivering innovative yet responsible financial solutions that push the boundaries of financial services.

Role Description:

We are seeking a motivated, sales exeutive to join our team. We offer a highy unique opportunity to work directly with our core leadership team to formulate and drive customer acquisition strategies, go-to-market plans, as well as institutional partnership initiatives. Working alongside a small but diverse group of high-caliber professional team members, you will be empowered to grow, develop and own critical go-to-market initiatives. You will be expected to be a self-starter in a hyper-growth industry, creating investment opportunities for prospective clients, using both online and in-person conferences events to generate investor interest in both DigiFT regulated platform and it’s regulated listed and traded assets.

Key Responsibilities

• Work with Head of Sales and Marketing teams.
• Assist with the design and build the sales capabilities to support the growth of DigiFT.
• Help develop and implement sales strategies to acquire new institutional and accredited investors through a strong personal network as well as DigiFT’s resources.
• Manage all aspects of client relationships, including from helping with client product queries, account opening and working with clients to define a digital asset strategy
• Work with key internal stakeholders, e.g. product, marketing, legal, and compliance, to ensure smooth go-to-market launch in different markets.
• Represent DigiFT at key events and conferences to generate sales leads and customer pipeline, build brand awareness as well as co-ordinate with eco-system partners for referrals.

Qualifications

• Degree in any discipline.
• Preferably 2+ years’ experience in traditional finance and/or DeFi sales with a proven track record.
• Self-motivated, self-starter, ability to self-educate and able to work in a result-oriented, fast-paced environment.
• Excellent communication and presentation skills.
• Multi-lingual is a plus (English and Mandarin) as you will be working across different cultures and geographies.
• Authorized representative to sell securities under Singapore MAS or Hong Kong SFC considered a big benefit for consideration.

We are looking for an energetic enthusiast to join our team in our Singapore office as our operations and the industry continue to grow. You will work cohesively with experienced business development teams to manage the digital asset portfolio and counterparty relationships.

Responsibilities

• Daily and monthly report submission and Portfolio Analysis Report submission.
• Develop and implement investment strategies, frameworks, and tactics.
• Utilize market pricing and congestion knowledge to support asset sales and maximize returns.
• Evaluate investment opportunities with a comprehensive understanding of risk, reward, and overall portfolio construction.
• Manage daily investment activities, ensuring adherence to investment SOPs and operational workflows.
• Assist in other strategic initiatives and activities as assigned by your line manager.

What we offer:

• Be a part of the future of finance technology.
• Fast-moving, challenging and unique business problems.
• International work environment and flat organisation.
• Great career development opportunities in a growing company.
• Competitive salary.

The Profile

• Bachelor's degree in Finance, Economics, Business, or a related field.
• At least 3 years of working experience in a similar role within Financial Services.
• Knowledge of digital assets, blockchain and trading or finance/ banking/ payments industry.
• Proven experience in investment management or a related field.
• Ability to work independently and manage multiple tasks simultaneously.
• Strong analytical skills and attention to detail.
• Excellent communication and public engagement skills.
• Proficiency in investment software and tools.
• Strong understanding of market trends and investment strategies.
• Highly motivated and have the highest level of integrity.
• Possess strong analytical skills and are comfortable dealing with numerical data.
• Highly goal-driven and works well in fast-paced environments.
• Well-organised, detail-oriented with excellent communication skills and patience.
• Strong team player, project management skills, ability to prioritise and build scalable processes.
• Possess excellent verbal and written communication skills in English, and the ability to speak in Mandarin is a strong advantage.

BitDATA Exchange is growing our institutional sales team and looking for passionate, driven individuals with experience liaising with institutional clients.

This role will leverage relationship development and account management skills, process creation and management ability to educate, introduce and inspire new investment with major institutional clients and high-net-worth individuals from a global market.

What you will do:

· Acquiring and developing trust relationships with a portfolio of major clients (global institutional/VIP clients)

· Expanding the relationships with existing customers by sustained communication, understanding of their needs

· Building key customer service processes and systems, formulating management rules, and tracking the status of key customers

· Analysis of user behaviour, finding hidden needs, writing key customer analysis reports, and communicating with various departments to provide optimal key customer service solutions

The Candidate:

· At least 3 years of working experience in sales and client services function with an international financial background in banking, investment etc.

· Client portfolio including institutional clients, HNW individuals, private bank customers with brokers, futures institutions or commercial banks etc.

· Strong communication, ability to be flexible in various situations, excellent relationship maintenance and sales skills, and ability to work under pressure.

· Detail-oriented, results focused individual who can work with minimal supervision.

· A good understanding of assets/ blockchain space.

· Good proficiency of English, and conversational Mandarin is required to liaise with counter parties.

Conditions

• Be a part of the future of finance technology

• International work environment and flat organisation

• Great career development opportunities in a growing company

• Competitive salary and commission structure

• Hybrid work arrangement