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

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

Job Info:

• Salary: Basic up to $4000 + AWS + VB
• Working Hours: Monday - Friday (8:30am - 5:30pm)
• Location: Toh Guan Road

Job Scope:

• Responsible for handling invoicing tasks, ensuring smooth coordination of all billing activities, including addressing billing-related inquiries across different departments
• Generate daily invoices for new customers and monthly invoices for recurring customers
• Prepare and send statements of account (SOA) to customers promptly
• Maintain and update the customer database
• Assist in the preparation of spreadsheets, reports, and correspondence, and perform reporting activities in accordance with specific deadlines
• Reconcile daily e-payments and apply them against individual invoices
• Process credit card and GIRO applications, and communicate with clients and banks regarding failed deductions
• Handle billing and payment inquiries through hotline, inbound emails, and internal department transfers
• Assist in coordinating and resolving disputes related to account receivables, both internally and externally
• Perform other ad-hoc finance-related tasks as needed

Please submit your updated resume by using the APPLY NOW BUTTON

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*We regret to inform you that only shortlisted candidates would be notified*

We wish you all the best in your career search.

You are welcome to visit our website at http://www.rkgroup.sg/

RK Recruitment Pte Ltd | EA License No.: 20C0280

Chou Jia Hooi | EA Personnel No.: R23115147

Duration: ASAP - Feb / March 2025

Salary: $11/ hr

Working Hours: 5.5 days office hours

Location: Orchard

Job Scope:

• Patient registration

• Chaperon in consultation room

• Schedule appointment

• Collecting payment

Job Requirements:

• Min. A level/ Diploma in any field

• Keen in clinic/ healthcare positions

For interested applicants, please send your updated resume to: [email protected]
All candidates’ information will be treated with the strictest confidence
Melissa Zhang Zhiqi (Mezzo)
R2197564
Recruit Express Pte Ltd
99C4599

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 ID: 740906]

Non-experienced candidates with relevant educational background in business or economics are welcome to apply.

Responsibilities:

• Market and Sales Trend Monitoring: Analyze the country's automotive market using data and factors like the economy, policies, seasonality, historical trends, and competition to make informed decisions.
• Sales Plan Evaluation: Identify key changes and plan assumptions to optimize opportunities and mitigate risks in short- to mid-term sales plans.
• Production Order Management: Ensure an efficient supply chain by managing production order plans with tools like Excel "rundown."
• Consensus Building: Collaborate and build agreements with distributors for both short- and mid- to long-term planning.
• Project Support and Coordination: Contribute to country-specific projects by coordinating stakeholders, sharing best practices, and applying demand and supply knowledge, taking on specific roles when necessary.

Requirements:
Non-experienced candidates are welcomed.

• Proficiency in MS Office specifically Excel and PowerPoint to run data analysis & visualization will be required
• At least a Degree in Business, Economics or the equivalent
• Comfortable to work overtime and travel overseas when required

Thank you for your interest, we regret that only shortlisted candidates will be notified.
However, rest assured that all applications will be updated to our resume bank for future opportunities.
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EA Personnel Name: Yap Zia Xin
EA Personnel Reg. No.: R22109263
EA Licence No.: 07C5771

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)

Company benefits:

• Guaranteed AWS
• Fixed monthly attendance allowance + OT pay eligible
• Performance bonus
• Increment after probation (subject to performance)
• 1 year cash completion bonus

Work location: Kranji

Working hours: 12 hours shift work, (4 days work, 3 days off | 3 days work 4 days off)

Job Responsibilities:

• New & old parts arrangement & logistic (maintenance room, store to tool side).
• Preparation & housekeeping of PM jigs & tools.
• Perform robot PM: parts cleaning & greasing, replacement of sensors, motors, motor drivers etc.
• Installation of vacuum valves, fore line pipes, heater jackets.
• Support tool owner engineer to do technical activities in fab: trouble shoot, modification, installation, de-installation.
• Support 6S & logistic activities (parts cleaning, arrangement, labelling, housekeeping.

Requirements:

• Min. NITEC in any Engineering field or equivalent certification
• Willing to do hands-on work and comfortable to be in cleanroom suit
• Work experience in semiconductor industry will be an added advantage
• Able to work on weekends

*Able to start work within short notice will be highly advantageous.*

Interested applicants, Please submit your updated resume in MS Words format by using the APPLY NOW BUTTON or whatsapp to wa.me/6587853279

By submitting your personal data and/or resume, you give consent to the collection, use, and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

**Please be notified that only shortlisted candidates will be notified**

EA Personnel Name: TOH SHIQI

EA Personnel No: R23119083

EA License No: 21C0845

Full time role

Attractive Annual leaves + Insurance coverage

Responsibilities:

· Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives

· Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions

· Ensure data quality and integrity throughout the data processing lifecycle

· Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques

· Optimize data engineering workflows for containerized deployment and efficient resource utilization

· Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability

· Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance

· Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements

· Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure

· Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference

· Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps

· Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank

Requirements:

· Bachelor's degree in Computer Science, Information Technology, or a related field

· 1-2 yrs experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments

· Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)

· Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes

· Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java

· Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)

· Experience with Graphana, Prometheus, Splunk will be an added benefit

· Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges

· Excellent collaboration and communication skills to work effectively with cross-functional teams

· Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment

· Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus

Rajkumar Renganathan

EA Licence Number: 23C2060

Registration ID is R1983662

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

Job Responsibilities

• File and organize documents
• Order office supplies
• Help with basic data entry and paperwork

Requirement:

• Min Diploma in any course

All qualified applicants, please click “ APPLY NOW”

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

Working location: Orchard

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

• Collect and gather data from internal and external sources, including databases, spreadsheets, APIs, and other data repositories
• Ensure the accuracy, completeness, and integrity of data by performing data validation, cleansing, and normalization procedures
• Collaborate with stakeholders to define data requirements, objectives, and key performance indicators (KPIs) for analysis
• Analyze large datasets using statistical and data analysis techniques to identify patterns, trends, and correlations
• Design and create reports, dashboards, and data visualizations using data visualization tools
• Prepare and deliver regular reports and presentations to communicate findings, insights, and recommendations to management and cross-functional teams
• Manage and update databases, data warehouses, and data repositories to ensure data accuracy, consistency, and accessibility
• Implement data validation and verification procedures to ensure accuracy
• Ensure compliance with data protection regulations and company policies

JOB REQUIREMENTS

• Minimum Diploma and above
• Strong analytical and problem-solving skills, with the ability to work with complex datasets and derive meaningful insights
• Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

First Konnection, the authorized education recruitment partner for this role, is collaborating with a cutting-edge education centre that leverages technology and data analytics to transform how Math is taught and learned.

The centre's unique curriculum, crafted by experienced educators and enhanced with real-time learning insights, aims to empower students to achieve their fullest potential.

We are seeking enthusiastic Primary Math Teachers who are passionate about using data to personalize learning experiences and foster a deep understanding of mathematical concepts in primary school students.

If you’re excited about utilizing innovative teaching methods and want to be part of a dynamic and forward-thinking team, we encourage you to apply.

Why Join Us?

• Pioneering Educational Environment: Be part of a centre that’s redefining Math education through a data-driven approach.
• Professional Growth: Benefit from continuous training and the opportunity to progress into leadership roles through our Management Associate Programme.
• Supportive Culture: Work in a collaborative and growth-focused environment that values professional development.

Location:
Parkway Parade, Marine Parade

Your Role:

• Teach 10 to 12 classes weekly (2 hours per class) and inspire a love for Math in primary school students.
• Utilize our proprietary analytics platform to track student progress and provide individualized feedback to optimize learning outcomes.
• Share detailed progress reports with parents, offering actionable insights to support students’ academic development.
• Collaborate with fellow educators to refine the curriculum and contribute fresh ideas to enhance teaching standards.
• Participate in regular meetings and training sessions to stay updated on best practices.
• Maintain a safe and engaging classroom environment that supports the holistic development of every student.

Qualifications & Requirements:

• Bachelor’s Degree in Mathematics, Education, or a related field. (Local university graduates preferred).
• Strong familiarity with the local MOE curriculum.
• High level of enthusiasm, adaptability, and a commitment to nurturing young minds.
• Excellent communication skills and the ability to build positive relationships with students and parents.

Benefits:

• Annual Leave: 2 weeks of centre closure at the end of the academic year (Last 2 weeks of December) + 10 days of Annual Leave.
• Professional Development: Access ongoing training and career advancement opportunities through our Management Associate Programme.
• Work-Life Balance: Join a supportive team with a balanced work environment.

Ready to Make a Lasting Impact?

If you're eager to inspire a love for learning in young minds and want to be part of a progressive, data-driven team, we’d love to hear from you!

Submit your application here or through MyCareersFuture to kickstart a fulfilling career journey with us.

EA Registration No.: R23111820 (Ben Chang)
EA Licence No.: 22C1307 (First Konnection Pte. Ltd.)

Job Description

• Industry/ Organization Type: Telecommunication Services
• Position Title: Facilities Technician (Data Center)
• Working Location: New Tech Park & Techlink
• Working Hours: Rotating 8-hour shifts
• Salary Package: Basic Salary + Shift Allowance ($300) + Variable Bonus + Medical & Flexi Benefits
• Duration: Permanent

Key Responsibilities

• Maintain and service building facilities, including electrical and mechanical systems.
• Perform minor repairs and improvements to buildings and equipment.
• Conduct routine preventive maintenance on building systems and infrastructure.
• Manage and oversee contractors and vendors to ensure cost-effective, quality repairs and maintenance.
• Provide engineering support during weekends, public holidays, or extended hours when necessary.
• To standby 24 hours on duty roster (will provide additional standby allowance).

APPLY NOW!!!

• Minimum ITE Certificate/Diploma in Mechanical/ Electrical Engineering, Facilities Management or related fields.
• With hands-on skill set in mechanical (ACMV) and electrical systems, with proficiency in maintenance, troubleshooting, and repair.
• Prior work in critical environments like Data Centres, Cleanrooms, or Semiconductor plants is an added advantage.
• Effective communication skills and ability to work as part of a team.
• Competent in using Microsoft Excel and Word.
• Good understanding of facility M&E (Mechanical & Electrical) systems.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #64875 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Overall Function

Reporting to the Head of Data Centre, the incumbent will primarily be involved in the day-to-day operations of the NETS Data Centre.

Key Responsibilities

• Perform day-to-day data centre/ computer operations (batch processing, printing reports, systems backup, tape management, server reboots, facilities and infrastructure checks in the data centre)
• Pro-actively monitor the data centre systems’ uptime and connectivity to ensure system availability to prevent any down time, and coordinate problem resolution with vendor or second level support groups.
• To log and submit problem management record and assign to appropriate party
• Ensure physical security procedures are followed strictly
• Performs escorting of personnel to and fro the Data Centres for both Kim Chuan & Bedok

Requirements

• Minimum Nitec/ Higher Nitec/ Diploma in Computer Science/ Information Technology or equivalent
• Able to perform 24-hours rotational shifts (3 shifts)
• Strong initiative and able to work independently
• Good knowledge with Windows server / UNIX / AIX
• Minimum 1-2 years of relevant working experience in a Data Centre environment

Responsibilities

• Perform statistical analyses and derive business insights for Trading, Execution, and Sales at finance Markets.
• Develop quantitative models for Market Making, Order Execution, and Delta One desks.
• Build data pipelines and dashboards associated to distinct use cases on the Trading floor.
• Ensure data quality, including mining, cleansing, and analyzing large datasets for use-case development.
• Develop well-documented code, mainly in Python, for optimizing and automating trading flow.
• Assist with the business development and vision of Markets Data Analytics, including liaising with external vendors, scheduling and monitoring teamwork, preparing reports, and building business presentations.
• Assist with the creation of software applications, user interfaces, APIs, and automated reports for business users.
• Present insights associated to business results and Data-Science methodologies to key stakeholders.
• Assist, when needed, with the development of Data Analytics platform, including Databases and Data Lake.
• Collaborate with Data Scientists, Developers, and Traders to jointly meet deadlines.

Qualifications & Skills

• Master or PhD in a technical field, such as Statistics, Mathematics, Physics, Engineering, Economics, or alike.
• 4+ years of work experience as a Quantitative Analyst or Data Analyst in a financial firm.
• Advanced coding skills in Python.
• Advanced knowledge of Power BI, Tableau, and VBA / Power Query.
• Proven experience in Quantitative Trading and/or Algorithmic Trading.
• Knowledge of Machine Learning methodologies, including Clustering techniques, Factor Modelling, Reinforcement Learning, and Advanced Statistics.
• Certain knowledge of Mathematical Finance and Financial Markets, for example Algorithmic Trading, Derivative Pricing, Portfolio and Risk Management, Dynamic Programming, and Numerical Methods.
• Knowledge of Scrum methodology, Agile framework, and Jira.
• Knowledge of Git, SQL, Spark, and Dash (or similar).
• Familiarity with cloud services such as Microsoft Fabric, Azure Synapse, Databricks, and Snowflake.
• Experience with Business Development is a plus.
• Experience with MLOps tools (e.g. Dataiku or similar) and with programming languages such us R and Scala is a plus.
• Collaborative, team player, open minded, and easy to work with.
• Proficient presentation skills and high attention to detail.
• Able to explain technical results to non-technical audiences.

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

Key Responsibilities:

Team Leadership:

1. Oversee and manage a team of field service technicians, ensuring they are well-trained, motivated, and equipped to deliver high-quality service.
2. Provide guidance, support, and mentorship to team members.
3. Assign tasks and monitor progress to ensure deadlines are met.
4. Evaluate team performance and provide feedback。

Technical Leadership and Training:

1. Develop and deliver technical training programs for junior engineers and ongoing professional development for existing engineers.
2. Stay up-to-date with industry trends and technological advancements, including servers from Inspur, Dell, HP, Lenovo, etc.
3. Assist in the development and implementation of technical standards and procedures.

Operations Management:

1. Coordinate field service activities, including scheduling, dispatching, and resource allocation.
2. Monitor and track key performance indicators (KPIs) to measure team efficiency and effectiveness.
3. Identify and implement process improvements to optimize field service operations.
4. Manage inventory of parts and equipment. oEnsure compliance with safety regulations and company policies.

Customer Relationship Management:

1. Build and maintain positive relationships with customers.
2. Address customer concerns and resolve issues promptly.
3. Ensure customer satisfaction through excellent service delivery.

Backup and Support:

1. Provide coverage for team members in case of emergencies or urgent leave.
2. Handle complex and challenging technical issues that require advanced troubleshooting.

Technical Proficiency:

1. Demonstrate proficiency in Linux-based commands and scripting.
2. Collaborate with project managers on deployment projects, providing technical expertise and support.

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

• Processing vendor/visitor DC security clearance.
• Escort vendor/visitor into DC.
• Escalation and attending to alert notification (after office hours).
• Support monthly, quarterly, yearly maintenance and Building management maintenance, E.g. power shutdown, aircon, UPS.
• Support and coordinate for hardware disposal, E.g. Harddisk, media, backup tapes.
• Load/Unload backup tapes and prepare to send off-site.
• Maintain and update hardware inventory and rack system.
• Conduct daily checks to ensure DC temperature at acceptable level, unusual blinking light and sound generated from devices.
• Raise incident in ITSM and monitor till closure.
• Prepare daily/monthly report to customer.

Mandatory Skill: Enterprise Monitoring

Work Location: Sin Ming

Shift Work: Yes, 12 Hours shift (8.00AM to 8.00PM or 8.00PM to 8.00AM)

Rotating shift – work 2 days and 2 days off

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

Overview

If you wish to work for an up-and-coming deeptech company, this could be your opportunity.

AgileAlgo stands for Agility-in-Algorithm. We seek to address the problem of insufficient data scientists and engineers to support AI work for small to mid size companies. We will harness deeptech in the space of Software Engineering.

We focus on Graph Neural Networks, a deeper form of Machine Learning, to develop our platform. We have created a natural language AI code generator that support self-serve AI to end customers. This allows our business to scale through the self-serve approach. Our platform is like a Jira + Github for AI Codes. It is fully integrated from written requirements to codes, generativeAI style. We envision to use AI to create AI, System to create System, to significantly improve the way software is being developed.

We are seeking internship candidates to join a like-minded highly talented team to create and operate the world 1st Virtual System Implementer Platform.

What we expect from you

For this role, the intern must be highly skilled in Python

• You will pick up Knowledge Graph Data Science
• It is advantageous to have understanding of other AI techniques including BigData Analytics, LLM and Computer Vision etc.
• You will assist to create and extend the company’s platform and AI engines
• You would have utilized established development tools, guidelines and conventions for your projects
• Your coding always produced clean and testable outcomes and are well documented
• You must be a quick learner to investigate and develop skills in new technologies

Your education and personal skills

• Studying for a Bachelor’s Degree in Mathematics or a related field
• Effective communication with non-technical audiences

Why now?

• The time is ripe to disrupt the software engineering space. AI can help revolutionise this. We will lead the way.
• We will be a listed company very soon.

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

Job Description

• Work with stakeholders including customers, partners and colleagues on data-related technical issues and support their data infrastructure needs
• Work closely with data scientists to solicit data requirements to support modeling works
• Design, develop, document, manage and maintain data models, ETL processes, data warehouse, data management and pipeline solutions for large volume of structured/unstructured data from disparate sources and with different latencies (e.g. on-demand, batch, real-time, near-real-time)
• Define, monitor and report SLAs for data pipelines and data products
• Understand data security and governance standards or requirements to implement solutions that ensure adherence to these standards or meet such requirements
• Drive/execute data quality assurance practices
• Support data management solutions pre-sales initiatives, proposal development and provide post-sales support.

Technical Knowledge/Skills/Competencies

• Technical expertise in:
  • Relational/non-relational/NoSQL database and enterprise data warehouse/mart;
  • Big data technologies e.g. Hadoop, Spark, Hive, HBase etc.
  • Data ingestion technologies e.g. Flume, Kafka, NiFi etc. and
  • Scripting, programming and software development using e.g. Java, C/C++, Python, R, MATLAB, Scala, SQL etc. for Windows or Linux environments.
• Experience in master data management, data governance, data lifecycle management etc
• Experience in designing, documenting, implementing and supporting data management solutions
• Experience in using software engineering best practices in development, programming, testing, version control etc.
• Knowledge of data privacy and security assurance
• Knowledge of machine learning, computer vision and large languagemodels will be advantageous.

Soft Skills

• Excellent written and verbal communications skills
• Highly organised, motivated, independent and resourceful team player
• Strong analytical thinking, interpersonal and problem-solving skills and
• Able to work productively in a matrix reporting and fast-paced environment

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to [email protected] for immediate processing.

(EA Reg No: 20C0312)