Overview: This is an exceptional opportunity to join a unique and dynamic Data Team driving transformative change in data analytics and operations.

This role will be to act as an all encompassing IT Data/Business Analyst to support the business as well as its users in harnessing the power of internal and external data for commercial decision-making and operational excellence within the company.

This role is looking for an exceptional candidate to join this exclusive team but coming from a solid Commodities or Financial background to understand quickly Commercial requirements that would benefit the business throughout.

Responsibilities:

• Advanced provision of Support and troubleshooting for users from a technical and functional perspective
• Assist users in setup and utilization of the data platform and maximise understanding of datasets made for decision making.
• Analysing data with tools, such as DataBricks, SQL, Python
• Act as a Data Steward, ensuring data governance and access control.
• Conduct Business Analysis for small changes and projects, collaborating closely with users and IT teams.
• Drive Agile delivery as a Product Owner, from concept through testing and training.

Qualifications:

• Bachelor’s degree in a numerate subject or equivalent.
• 5+ years’ experience as an IT Business Analyst or similar role in finance or commodities trading.
• Proficiency in SQL, Python, Power BI, and Azure Databricks.
• Strong Analytical skills with attention to detail and methodical approach.

Attributes:

• Excellent communication skills with a professional and approachable demeanor.

Benefits:

• Competitive compensation package
• Opportunities for professional development
• Allowances for personal development and lifestyle
• Collaborative and inclusive work culture

Hall of Goods Pte Ltd is a distributor and reseller of lifestyle brands from around the world. While our company is based in Singapore, our brands are distributed and sold in many parts of Asia. We pride ourselves in being a true partner to the brand owners because we believe that it is equally as important to grow the equity of the brands we carry as it is to increase penetration and sales of their products in Asia.

Hall of Goods Pte Ltd invests in grooming our people as well as building strong partnerships with our suppliers and agencies. In that way, we create an eco-system that enables us to grow more effectively and efficiently.

While our structure is lean, we constantly look for talent that has the same values and principles as we do but can add new perspective at the same time. The values at Hall of Goods are simple.

1. Don’t be afraid to learn new things

2. Make sure everything you is done because you believe it has real value to the consumer and to the business

Roles & Responsibilities

Data entry and administrative assistant role

Responsibilities include consolidating and entering data from sales statements and providing administrative support to ensure efficient operations in the Company.

Job Responsibilities:

· Answer all enquiries via social media, phone call

· Entering of data entry, preparation and generating of invoices

· Assist with Management on any ad-hoc duties

. Flexible Working hours: 9am to 5pm. Minimum 3 working days a week. Working days can be discussed further

Job Requirement:

1. Minimum GCE ‘O’ Levels with working experience

2. Experience in data entry would be an advantage

3. Proficient in Microsoft Office

4. Good interpersonal and communication skills

5. Diligent, organised, self-driven, resourceful and fast learner

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing exceptional customer support to our clients.

Our Team:

The Global Data Analytics Team is the frontline customer service provider for Bloomberg's Data clients. We deliver knowledgeable and dedicated service to our customers addressing data related inquiries. We liaise with data’s domain based teams to help confirm and support data related inquiries through the “ADSK” system. We solve complex problems and provide accurate and timely solutions in order to consistently surpass the expectations of our clients.

The team is structured into domain based teams across three asset classes with Equity, Fixed Income and Multi Asset teams across the globe with generalists across each group. These teams are directly aligned to domain based ADSK groups and partners among Data’s departments, Companies, Securities, Managed Investment and Benchmarks, Content Acquisition, and the Data Management Lab teams.

What’s the role?

Our Data Analysts are the front line of customer service for Data supporting both internal and external clients. In this role your core responsibility will be supporting Bloomberg clients through our Help Desk, which will allow you to develop general financial markets understanding and knowledge of the inner workings of Bloomberg's customer service technology. You will also use your project management skills and problem solving abilities to assist in the implementation of strategic solutions to improve client experience and team workflows and procedures. We are a large team that interacts with all areas of the business, therefore the ability to effectively connect with partners in different regions and roles is essential.

We'll trust you to:

• Leverage your customer service skills to provide exceptional customer service to Bloomberg clients via our Help Desk (ADSK)
• Use your customer service skills and subject matter expertise to educate and inform our clients
• Build and maintain relationships with key internal and external Stakeholders (such as Enterprise Support, Analytics, and Data Product Teams)
• Use problem solving and data analysis skills to find insights that assist in the implementation of strategic solutions to improve the client experience
• Enhance customer operational performance by using Help Desk resources
• Actively seek out opportunities for self-improvement, keeping up with new product training and process knowledge
• Make independent decisions to resolve customer issues with strong problem solving skills

You’ll need to have:

• 1-3 years of work experience in the financial services industry, including exchanges, market data providers, financial technology or financial institutions
• Proficiency in data analytics tools such as QlikSense, or Tableau
• Experience working in a customer service roles where you're interacting with both internal and external clients, eg customer support or helpdesk roles
• A bachelor's degree or higher in relevant data technology or financial field, or degree-equivalent qualifications
• Ability to adapt within a fast-paced and dynamic environment, and desire to work on multidisciplinary teams
• Demonstrated ability to take a logical approach and apply critical thinking skills in order to solve problems
• Ability to work independently & in a team environment under deadlines, demonstrating self-motivation
• Demonstrated continuous career growth within an organisation
• Excellent written and verbal communication skill in English

We’d love to see:

• Proficiency in another Asian language as this role will require coverage across Asia
• Proficiency in Microsoft Office suite & Google Drive

If this sounds like you:

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: https://www.bloomberg.com/professional

Responsibilities:

1. Setup and Configure Reporting Platform: Collaborate with business stakeholders to understand and translate business and functional requirements into precise technical specifications.
   Develop, implement, and manage Extract, Transform, Load (ETL) scripts for data integration and migration tasks.
   Create complex queries and develop comprehensive reports to present data insights effectively.
   Conduct unit testing, troubleshoot, and resolve any defects to ensure seamless reporting and data integration.
   

Skills and Experience Requirements:

Must-Have:

1. Azure Data Factory (ADF): At least 2-3 years of experience with ADF, including developing pipelines to migrate and transform data.
   Skilled in creating complex ADF jobs involving the transformation of multiple tables.
   Familiarity with ADF terminologies and coding standards to ensure best practices are followed.
   
2. Azure Synapse: Solid understanding of Azure Synapse databases, including data distribution, indexing, and record processing.
   Experience configuring Synapse databases for concurrent processing of large datasets and integrating with ADF pipelines.
   Knowledge of access control setups, including the use of service accounts for secure database access.
   
3. Power BI SaaS: Minimum of 2-3 years of experience with Power BI, including the use of Power BI Desktop and builder tools to develop and enhance paginated reports.
   Proficiency in creating complex, interactive dashboards that provide valuable business insights.
   In-depth understanding of Power BI licensing models (Free, Pro, Premium) and workspace access management.
   Experience setting up and configuring Power BI Gateways for secure and reliable data connections.
   

Good to Have:

• Strong problem-solving skills and the ability to optimize data processes for performance and efficiency.
• Experience with cloud platforms and data integration tools.
• Understanding of data warehousing concepts and database management systems.
• Ability to communicate effectively with cross-functional teams and present technical concepts to non-technical stakeholders.

This position requires a self-starter who can adapt to changing requirements and work independently or as part of a team to deliver high-quality data solutions.

EA License Number : 11C4879

Key Responsibilities:

• Modeling and Documentation: Create, manage, and update BIM models using Revit and Archicad to support project requirements from design through to construction.
• Collaboration: Work closely with architects, engineers, and other stakeholders to ensure accurate and timely delivery of project models and documentation.
• Coordination: Facilitate the coordination of BIM models across multiple disciplines, ensuring clash detection and resolution.
• Standards Compliance: Adhere to and help develop company and project-specific BIM standards and workflows.
• Quality Control: Perform regular audits on models to ensure compliance with project standards and industry best practices.
• Training and Support: Provide training and support to team members on Revit and Archicad software and BIM processes.
• Project Management: Assist in project management tasks, including scheduling, resource allocation, and progress tracking.
• Innovation: Stay updated with the latest BIM trends, tools, and technologies, and recommend improvements to current practices.

Qualifications:

• Education: Bachelor’s degree in Architecture, Engineering, or a related field.
• Experience: Minimum of 3-5 years of experience in BIM modeling with proficiency in Revit and Archicad.
• Technical Skills: Strong proficiency in Revit and Archicad, including family creation, parametric modeling, and project setup.
• Software Proficiency: Familiarity with other BIM-related software such as Navisworks, Dynamo, Solibri, and BIM 360.
• Knowledge: Understanding of construction methods, building systems, and industry standards such as ISO 19650.
• Communication: Excellent verbal and written communication skills, with the ability to convey complex information clearly and concisely.
• Problem-Solving: Strong analytical and problem-solving skills, with a keen eye for detail.
• Team Player: Ability to work collaboratively in a team environment and adapt to changing project requirements.

Preferred Qualifications:

• Certifications: Professional certifications such as Autodesk Certified Professional in Revit or Archicad certification.
• Experience: Previous experience in a multi-disciplinary environment and involvement in large-scale projects.

We are seeking a skilled Cloud Infrastructure Engineer to manage and support our cloud infrastructure on AWS and HCC Cloud. This role is essential for ensuring high availability, performance, and security across our cloud environments. The ideal candidate will have extensive experience in cloud operations, Infrastructure as Code (IaC), disaster recovery, and continuous improvement initiatives to drive cost efficiency and scalability.

Key Responsibilities:

• Manage and support cloud infrastructure on AWS and HCC Cloud, ensuring optimal availability, performance, and security.
• Oversee and troubleshoot critical issues within cloud environments, providing Tier 2 and Tier 3 support as needed.
• Implement and manage Infrastructure as Code (IaC) using tools like AWS CloudFormation and Terraform.
• Define, implement, and test disaster recovery and business continuity plans.
• Drive continuous improvement by optimizing cloud infrastructure for cost efficiency and scalability.
• Ensure network security, including managing VPNs, firewalls, VPCs, and IAM configurations across AWS and HCC Cloud.
• Collaborate closely with development, operations, and security teams to establish CI/CD pipelines and adopt best DevOps practices.
• Monitor system performance, conduct capacity planning, and maintain thorough documentation of all infrastructure components.
• Possess a deep understanding of AWS services, including EC2, S3, RDS, VPC, IAM, CloudWatch, Lambda, and networking concepts.
• Proficiency in monitoring tools (e.g., CloudWatch, Prometheus) and security practices to manage VPNs, firewalls, and VPCs effectively.

Qualifications:

• Minimum 10 years+ years of experience
• Required: AWS Certified Solutions Architect (Professional)
• Required: AWS Certified SysOps Administrator (Associate)
• Preferred: AWS Certified DevOps Engineer (Professional)
• Strong expertise in cloud operations and IaC using AWS CloudFormation, Terraform, or similar tools.
• Demonstrated experience in disaster recovery and business continuity planning.
• Proficient in implementing and managing network security protocols across cloud environments.
• Excellent collaboration skills for working with cross-functional teams in a CI/CD and DevOps framework.
• Familiarity with monitoring and security tools, particularly AWS CloudWatch and Prometheus.

Job Purpose

The Pre-Sales Team of ICE Data Services provides professional, detailed, customer-focused support to position ICE in providing pricing and analytics data solutions to the buy side, sell side and other financial institutions within APAC. The specialist role is to act as a product and delivery system expert as well as providing support at every stage of the sales and implementation process. This role will have primary ownership for assigned opportunities to ensure proposed solutions are implemented according to best practices, meet the business and technical requirements of the customer and ultimately result in a successful sale.

The Pre-Sales specialist is expected to become a technical expert in ICE Data Services Pricing and Analytics product offerings and to act as a consultant to the Sales organization as well as other internal and external groups. Technical discussions and presentations to clients will all be an integral part of the role, as well as interacting with internal teams on technical aspects of the solution.

Responsibilities

The role’s core responsibilities center around the technical support of the sales life cycle including:

• Work with the customer to understand and document their requirements, and design the most effective solution for their needs, based on the platforms and services that ICE has to offer.
• Mapping out client requirements including qualification and documentation of prospect’s coverage and internal systems, including third party software.
• Perform coverage checks upon initial requirement gathering with the client.
• Proposal and presentation of market data solution. The process will include determination of correct data delivery method and compliment the data gathering function. The output will include content coverage spreadsheets, flow diagrams and other supporting materials.
• Support any trial and proof-of-concept efforts to help a prospect through the evaluation phase.
• Maintain clear record of activity, track and report progress when needed.
• Respond to all technical client queries in a prompt and informative matter; lead or attend client calls/ meetings as needed.
• Assist the Sales team in the contractual process and providing the relevant supporting technical documentation/ information.
• Upon contract closure, coordinate the effort across a range of teams globally to implement the solution; working alongside product teams, business development teams and network teams; eventually handing off to Client Services.
• Provide critical feedback to product management on product enhancements
• Market and product training internally and to clients on a continuous basis
• Being a self-learner and keeping up to date with products & solutions offered by ICE Data Services
• Develop and maintain a deep technical understanding of the various platforms and services available within the region and be able to effectively discuss all the products we can offer, including customized data services and the underlying platforms
• Performing product demonstrations for Clients and managing following-up discussions on ICE’s pricing and analytics desktop solutions.

Knowledge and Experience

• Spoken and written fluency in English and Korean is a requirement. Knowledge of any additional Asian language is an advantage
• A minimum 3 years of experience at financial institutions
• Strong financial markets knowledge and experience working on different asset types: Fixed Income, Equities , Derivatives, Structured Products
• Experience and knowledge in one or more of the following data sets: Reference Data, Sustainable Finance, Corporate Actions, Evaluated Pricing, Listed market pricing
• Experience working on market data desktops/terminal solutions and successfully helping with solutions for Clients on their specific workflow requirements
• Proven track record in presales consulting role working through the whole sale life cycle - requirement gathering till the successful service implementation for Clients
• Good understanding of market data delivery mechanisms such as API, SFTP will be key for this role.
• Proven track record for understanding of the urgent nature of our business and the need to proactively find and fix problems quickly and effectively. Takes ownership and follows through on decisions; doesn’t minimize or forget about problems
• Proficient user of Microsoft Office
• Project management experience is a bonus
• Strong presentation skills
• Attention to detail and diligence in all aspects of work are essential
• Confident and professional communicator, both written and in front of senior executive audience
• Logical and methodical at troubleshooting
• Ability to multi-task and prioritize under pressure, while maintaining high quality output and meeting deadlines

Schedule

This role offers work from home flexibility of one day per week

Product area

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Job description

The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facilities Technicians at Google data centers operate, monitor and support physical facilities conditions. Some of these duties will include heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution and control and monitoring systems. You regularly help inspect, maintain and repair various data center systems such as piping and non-critical electrical or mechanical system components). You provide daily assistance to senior technicians as you read blueprints/schematics, conduct tours of systems and assess their working order.

As an advocate for best practices, you develop creative approaches to reducing operational costs while improving overall data center efficiency. You ensure that environmental and safety standards are consistently met, identifying problems and making repairs quickly. In emergency situations or abnormal conditions, you manage data center performance issues and outages to minimize the recovery time from failures.

Qualifications

Job responsibilities

• Regularly inspect, maintain, and repair various data center systems such as piping and non-critical electrical or mechanical system components. Provide daily assistance to senior technicians as you read blueprints/schematics, conduct tours of systems, and assess their working order.
• Be responsible for the uptime and maintenance of water pumps and treatment systems, HVAC, UPS, generators, electrical distribution, and Control and Monitoring Systems.
• Develop creative approaches to reducing operational costs, whilst improving efficiencies. Operate, monitor, maintain, and respond to abnormal conditions in the data center facilities systems and equipment.
• Provide tracking and trending operational characteristics. Support startup, commissioning, and integration of new equipment and systems into facilities infrastructure.
• Follow the site’s environmental health and safety policies. Availability to work on shifts including nights, weekends, and holidays.

Minimum qualifications

• Associate's degree, trade school certification, verifiable training in a relevant technical field, or equivalent practical experience.
• 2 years of experience in data center facilities.
• Experience in HVAC, Electrical Maintenance, Electrical Safety, Electrical Systems, Electrical Infrastructure Systems, Mechanical Maintenance, Mechanical Infrastructure Systems, Generators.
• Ability to lift and move 50 lbs of equipment, work on platforms, ladders, and under raised floors.

Preferred qualifications

• 3 years of experience in controls/automation or the equivalent in a critical/ construction/ high tech environment.
• Experience in data centers, hospitals, hotel industry, power plants, HV electrical substations, or other mission critical facility maintenance and operational experience.
• Knowledge of electrical, mechanical, and controls systems, including: Feeders, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDU/PMM units, Chillers, Air handling units and CRAC units.
• Knowledge of meters, devices, sensors, and troubleshooting utilizing standard hand tools, digital metering, or calibration/diagnostic equipment.

• CAT-1 cleared/eligible candidate is required for this role.
• Experience in data analysis.
• Experience in managing data reconciliation/quality checks (implementation, monitoring and troubleshooting).
• Hands-on experience with Oracle PL/SQL.
• Experience in performing UAT.
• Able to manage SLA and queries from end users.
• Experience in providing documentation support e.g. in technical/functional specifications.
• Possess finance domain knowledge.
• Good problem solving and logical thinking.

• CAT-1 cleared/eligible candidate is required for this role.
• Experience in data analysis.
• Experience in managing data reconciliation/quality checks (implementation, monitoring and troubleshooting).
• Hands-on experience with Oracle PL/SQL.
• Experience in performing UAT.
• Able to manage SLA and queries from end users.
• Experience in providing documentation support e.g. in technical/functional specifications.
• Possess finance domain knowledge.
• Good problem solving and logical thinking.

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Recruitment Consultant who can help support us through the next phase of the growth and development roadmap.

Job Highlights:

• Junior/ Entry (No experience required - Training Provided)

• Senior level positions from various sectors are available

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Attractive Incentives

Job Duties:

• An integral role as a recruiter in fulfilling clients' staffing needs.

• Handle full spectrum of recruitment and talent acquisition matters

• Conduct Interviews/phone screening and select potential candidates to meet clients' requirements.

• Coordinate interviews between candidates and clients

• Developing connections and new business and relationship management sources with existing accounts.

• Networking and building relationships with business partners and jobseekers

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

• Self-motivated, proactive personality, willing to work and achieve goals in a team.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only the shortlisted candidates will be notified.

Email Address: [email protected]

We are looking for candidates to drive new businesses, to SUPPORT and to INTRODUCE new customers to our clients.

This is an EXCELLENT opportunity for you, if you’re looking to make a huge impact in a HIGH- GROWTH environment. If you thrive on ownership and functioning creatively and collaboratively with teammates, this is the role for you!

What you'll bring to the table:

- Good communication skills
- A love for regular human interaction.

- Self-motivated.

- If the word "NO" just makes you more adamant to succeed at something.

What we HAVE:

- Supportive team who coach and developing talented salespeople.

- Realistic goals and activity-based bonuses, with competitive commissions.

- Regular company and team social events.

If you have what it takes, then we would definitely like to speak with you!

Job Description

• Data Entry
• General Admin Duties, Filing of Documents
• Provide Administrative Support to Account team
• Responding to incoming Email and Phone Enquiries
• Adhoc duties assigned by Management

Requirements:
• Required skill(s) : MS Excel, MS Office
• With/ Without Work Experience
• Willing to learn

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/eX39z4hd

• Strong support from management to invest in data
• Exposure to latest technology - Microsoft Azure Data

About the company
Our Client is an established company within their industry. With rapid expansion and technology investment plan, they are now looking for an Senior Data Engineer / Data Engineering ( Azure Data ) to join their team.

About the job

Your role involves:

• Establish and manage data pipelines for the transformation and loading of data from the data lake into Data Warehouse models.
• Collaborate with various global data sources to supply data to our Azure Cloud-based Global Data Analytics Platform.
• Develop, construct, and maintain Data Warehouse models to meet the data analytics needs of Company's global, regional, and local business units.
• Delving into data sets to uncover insights, pinpointing features and discrepancies, and effectively communicating findings to stakeholders.
• Stay updated on emerging trends and technologies in data engineering and recommend improvements to existing systems

Skills and experience required

As a successful applicant, you will be have at least 4 years of experience in azure data.

Proven track record in Azure Data Factory, Azure Synapse Analytics/Data Warehouse, Azure Analysis Services and Python will be highly preferred.

Whats on offer
This is an excellent opportunity to join an established company with high investment in data engineering. You will get the opportunity to work in a high performing team with exposure to latest technology.

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/eX39z4hd (EA: 94C3609/ R1219669)

Key Responsibilities:

• Develop and execute marketing campaigns across digital, social media, and offline channels.
• Coordinate with internal teams and external agencies to ensure timely and high-quality campaign execution.
• Track campaign performance, analyze results, and prepare reports to measure ROI and optimize future campaigns.
• Collaborate with influencers and industry partners to expand reach and engagement.
• Work closely with sales teams to develop targeted marketing strategies to drive conversions and retention.
• Establish partnerships with industry influencers, media outlets, and other stakeholders.
• Conduct market research and competitor analysis to stay updated on industry trends and adjust strategies.

Key Qualifications:

• Bachelor’s degree in Marketing, Business, Communications, or a related field.
• 2-5 years of experience in marketing, preferably within technology, media, or consumer industries.
• Proven experience in executing marketing campaigns, managing social media channels, and creating engaging content.
• Strong knowledge of digital marketing tools, CRM systems, and social media platforms.
• Excellent interpersonal and communication skills, with a client-focused approach.

As a Network Architect you'll provide solutions across the company's datacenters and global colocation estate across the world encompassing all aspects related to collocation sites: site access, equipment procurement, logistics, capacity management (power, space, servers, network ports, etc.), performance management, service availability, connectivity, compute and market data delivery.

You will architect, engineer and deploy ultra-low latency network infrastructure including overseeing and carrying-out installation, monitoring, maintenance, support, optimization and documentation of all network hardware, security hardware, software and connectivity. You will also get involved with managing\participating in multiple projects and be responsible for configuring / optimizing the network to ensure ultra-low\low latency is achieved for intraday trading and direct market access systems, providing exchange, broker and managed service providers connectivity to support market data delivery and order execution.

Driven by technology this company is able to offer a remote interview and onboarding process during the current social distancing measures.

Keywords :

Experience Trading related platforms/Infrastructure.

Major NW and application platforms...
Seasoned Technical Resource & Solid Soft skills.

Requirements:

*20+ years plus experience (we prefer experienced, disciplined and mature candidates)

*Strong knowledge on Electronic and Algo Trading Platforms, Feed Handlers, Order Routers, Smart Order Routers, FIX protocol.

*Exchange binary FIX protocols such as OUCH, ITCH.
*Strong Network engineering and project delivery experience
*Advanced knowledge of routing and switching protocols;
*Experience with Unicast: EIGRP, OSPF, BGP, NAT, IPSEC and GRE
*Heavy experience with Multicast: PIM, RP, MSDP, IGMP v2, v3
*Experience with Switching: STP, PC/vPC/MLAG, CDP/LLDP, QoS, HSRP/VRRP, VLAN/VxLAN, Spine and Leaf infrastructures.
*In-depth experience with Cisco Nexus network switching, routing hardware and software
*Knowledge of network monitoring PCAP decoding tools landscape (Corvil, SFlow, timestamping (PTP) preferred but not required)
*Knowledge of Algorithmic/DMA/HFT and trading platforms and how the trade lifecycle operates
*Solid understanding of market venue, exchange protocols (binary, FIX, ITCH,OUCH, Pillar, etc.) and trading systems across multiple asset classes
*Strong scripting and automation experience (Python preferred but not required)
*Excellent communication skills; ability to perform under pressure and detail oriented
*** While certification are interesting, they are not required as we value experience over certification

Model Development and Deployment:

· Design, build, and deploy machine learning models for credit scoring, risk assessment, fraud detection, and customer segmentation.

· Calibrate model parameters and optimise existing business logic and parameters

· Ensure models are robust, interpretable, and provide actionable insights.

Data Analysis and Insights:

· Conduct thorough data analysis to identify trends, patterns, and opportunities to enhance existing scorecards and processes.

· Develop and maintain dashboards and reports to track model key performance metrics and provide actionable insights to stakeholders.

Model Infrastructure and MLOps:

· Develop and maintain model infrastructure to support the lifecycle of machine learning models from development to production.

· Automate workflows for model training, validation, deployment, testing and monitoring to ensure efficiency and reliability.

Mentorship and Leadership:

· Mentor and provide guidance to junior data scientists and analysts in the team.

· Lead data science projects from inception to completion, ensuring timely delivery and alignment with business goals.

Requirements:

· 5+ years of experience in data science, preferably within the fintech or financial services industry.

· Proven experience in developing and deploying machine learning models in a production environment.

· Strong background in statistical analysis and machine learning.

· Expert in credit modelling and risk management would be an added advantage

Responsibilities

. Report to Academic Head (Higher Education)

· Prepare and develop teaching and learning materials according to module descriptor

· Develop lesson plan and create assessment brief

· Complete marking of all assessment papers and to moderate academic results

· Conduct lesson to be delivered face-to-face

· Adopt the use of Information Technology tools to enhance learning by students

· Regular feedback to Academic Head regarding students’ academic performance and behaviour

Requirements:

· Possess Master’s or Doctorate Degrees in IT, Computing, Data Science and AI

· With at least 5 years of relevant working or teaching experience in data science field

· Possess strong interpersonal and communications skills, passionate in sharing knowledge and interacting with students

· Strong sense of professionalism and commitment in completing assigned tasks efficiently and in a timely manner

Company Overview:

Traveloka is a leading technology company that provides a one-stop travel and lifestyle platform for customers in Southeast Asia. Our platform offers a wide range of travel-related services, including flight and hotel bookings, activities, attractions, and more. With a mission to empower travelers with seamless experiences, we're committed to pushing the boundaries of technology and innovation in the travel industry.

It's fun to work in a company where people truly BELIEVE in what they're doing!

About the Role:

As a Data Manager, you will spearhead the data group dedicated to supporting the commercial teams for our Travel business. Your expertise will drive strategic insights, enhance data-driven decision-making, and optimize commercial performance. This role requires a blend of technical prowess, leadership, and a deep understanding of supply commercial optimization.

Responsibilities:

• Led a team of data analysts and engineers, ensuring they have the data repository, tools, resources, and training to deliver high-quality data analysis and reporting.
• Partner with commercial stakeholders (market managers, ) to understand their business needs and translate them into actionable data requests.
• Develop and implement a data strategy for the commercial team that is aligned with the overall company objectives.
• Design, build, and maintain data pipelines and dashboards to track key performance indicators (KPIs) and measure the effectiveness of commercial campaigns and treatments
• Conduct in-depth data analysis to identify trends, opportunities, and areas for improvement in hotel and flight acquisition, conversion, and revenue.
• Communicate complex data insights in a clear, concise, and actionable way to both technical and non-technical audiences
• Stay up-to-date on the latest data science trends and technologies and implement them to improve data analysis capabilities.
• Foster a collaborative and data-driven culture within the commercial team.

Requirements (Education, Technical Skills, Relevant Experiences)

• Minimum 7+ years of experience in a data leadership role, preferably within the travel or supply chain industry.
• Proven experience in managing and mentoring data analysts.
• Strong understanding of data analysis methodologies, including SQL, statistics, and machine learning (a plus).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Experience working with data pipelines and cloud platforms (e.g., GCP) (a plus).
• Excellent communication and presentation skills, with the ability to translate complex data insights into clear and actionable recommendations for non-technical audiences.
• Strong leadership skills, with the ability to motivate and inspire a team.
• Strategic thinking and problem-solving skills.
• A passion for the travel industry and a deep understanding of online travel agent (OTA) business models (a plus).

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

JD:

Model Development and Analysis:

· Dive into real-world data to design and develop machine learning models for credit scoring, risk assessment, fraud detection, and more

· Support the calibration of model parameters and the optimisation of business logic

· Ensure models provide meaningful, actionable insights that help drive key business decisions

Data Exploration and Insights:

· Analyse datasets to identify trends, patterns and opportunities for improving existing models, scorecards, and processes

· Collaborate with the team to create automated reports and dashboards that track how models are performing and provide valuable insights to stakeholders

Model Infrastructure and Automation:

· Maintain and improve the infrastructure supporting the development, deployment, and production lifecycle of machine learning models

· Participate in automating workflows for tasks like model training, validation, and monitoring

Requirements

· 1-3 years of experience in data science or related fields.

· Proven experience as a model developer in machine learning and statistical analysis projects

· Familiarity with programming languages like Python and SQL

· Interest and experience in fintech and credit modelling is a bonus

Others:

· Strong analytical mindset with attention to detail and a problem-solving attitude

· Eager to collaborate and grow in a team that values proactivity, creativity, and continuous learning

Great communication skills, both for discussing technical solutions and presenting insights to non-technical stakeholders

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

• Lead and grow the data science practice in Mediacorp, including guiding and mentoring a team of data scientists
• Analyse and translate large amounts of data into meaningful, actionable insights for commercial purposes by applying various machine-learning and deep learning techniques
• Lead, design and implement quantitative analytical models, including forecasting and predictive models, identity graphs, recommendations and various performance optimization initiatives to enhance business outcomes
• Establish internal benchmarks and best practices in data science approaches
• Support product development effort including understanding business needs, documenting data and data integration requirements, and resolving conflicting business/data architecture rules.
• Become an internal authority on Mediacorp's data tools and data science output
• Support ad-hoc data science strategic initiatives

• PhD or MS degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science or related field
• Minimum 10 years hands-on experience in machine learning or advanced analytics, including designing, developing and deploying data science models
• Relevant team management experience will be essential
• Strong technical capabilities. Proven expertise in developing and implementing a full range of analytical techniques to address commercial challenges
• Proficiency in at least one statistical analysis tool
• Proficiency in at least one programming language (preferably Java, C++, Python)
• Critical thinking and problem-solving skills are essential for this role
• Strong written and spoken communication skills
• Able to present findings to internal and external business stakeholders confidently
• Basic knowledge of data engineering principles and architecture

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities

• Deploy, administer, and support database and data lake infrastructures.
• Formulate and execute plans for high availability, backup, recovery, and disaster preparedness.
• Diagnose and resolve database issues and optimize performance.
• Enforce industry-standard security measures, policies, and best practices.
• Enhance clients' data warehouses and data lakes, and maintain comprehensive documentation.

Requirements

• Proficiency in Database Administration.
• Experience with Linux operating systems and scripting.
• Practical experience with at least one of the following: Hadoop Distributions, Relational Databases, or NoSQL Databases.
• Advantageous knowledge in one or more of the following areas: Data Virtualization tools, Scripting languages, Cloud platforms, and Docker/Kubernetes environments.

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Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants
Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Responsibilities

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

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Why Join Us

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make an impact happen with a career at TikTok.

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About the team

The strategy team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and user engagement, which includes:

1. Build prediction/uplift NN model to improve LIVE feature intelligence;

2. Mine and interfere with potential crowds to gain a higher ROI operation for both LIVE streamer and watcher;

3. Make detailed analysis on user data and system data to find out user experience optimization zoom;

4. Other work like user growth strategy, cold-start strategy, etc.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

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Requirements:

1. Responsible for data science work related to the product and operation strategy of TikTok LIVE.

2. Analyse business data in different markets, formulate targeted strategies, and evaluate strategic benefits.

3. Build insights into different strategy scenarios, use data skills to deepen scenario understanding and promote decision quality.

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Qualifications

1. Mathematics, statistics, computer science related majors, have experience of internet business.

2. Excellent thinking framework and scenaios understanding ability, good at using data analysis and other means to solve business problems.

3. Experience of casual inference, evaluation framework, data mining is preferred.

4. Understanding the principle of machine learning and recommendation algorithms is preferred.

Preferred Qualification

Experience from a large-scale internet business

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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.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at [email protected].

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor XIA Yingcun on Statistical learning of complicated health data under a project on Tensor dimension reduction for multimodal data and its application in EEG analysis.

Qualifications

• Qualifications / Discipline: PhD in Statistics and Data Science.

• Skills: The successful candidate needs to have experience in large-scale data analysis, advanced probability and statistical techniques, and strong computer programming skills.

• Experience: 2 years of research experience in machine learning methods.

Responsibilities

• Creation and maintenance of static data in Treasury systems. Static data includes set up of customer records, settlement instruction and instruments.
• Ensure team Service Level Agreements are met and all requests are completed accurately and timely
• Ensure a continued and effective on-going daily process when covering the duties of co-partner
• Support global entities’ static requests
• Check and prepare the section’s daily reports
• Attend to internal and external customers' queries
• Drives process improvement and system automation
• Ensure compliance to Department and Bank’s operational risk and regulatory requirements.

Skills/Requirement

· Good knowledge and understanding in treasury products or processing

· Good knowledge of MS Office Suite, including proficiency in Excel

· Meticulous and accurate in work

· Ability to focus on high quality work while under pressure

· At least 1 year of relevant experience in static data management preferred

· May need to work on weekends / SG public holidays (where required)

· Good knowledge of programming skills especially on C++