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

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

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

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

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

Join us.

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About the team

The Live Platform Intelligence team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and creator engagement, which includes: Build models for automated and intelligent operations to improve the efficiency and effectiveness of TT Live supply end, as well as discover and handle inappropriate user behavior and business anomaly, to assure the steady and persistent running of TT Live business. Spearheading analytical excellence with a penchant for creative problem-solving, our team functions at the intersection of data science and live content, ensuring an engaging and personalized experience for our global community of creators and viewers.

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Responsibilities

- Drive understanding of product usage and user behavior in the field of Live ecosystem.

- Establish and refine key product metrics, set scaled and attainable goals, forecast outcomes, and closely monitor trends to precisely gauge the success of our product initiatives.

- Collaborate proactively with Product Managers, Engineers, MLE and other cross-functional teams, providing data-backed perspectives that shape our product decisions, deliver insights and excute strategy.

- Design and measure experiments to verify hypotheses and opportunities in product growth, and consult on directions for improvement

Qualifications

Minimum Qualifications

- Bachelor's degree in Statistics, Mathematics, Data Science, or equivalent practical experience.

- A minimum of 3 years of work experience in analytics.

- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or data visualisation tools (e.g. Tableau).

- Excellent problem-solving and critical thinking skills.

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Preferred Qualifications

- Preferably with experience working on products, user growth, or live streaming 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.

Permanent, 5.5days, Paya Lebar

Product:

Heating, ventilation, air conditioning (Hvac)solution for data center

Our client

MNC in air conditioning and humidification system solution serving high tech industry

Years in business: > 50 yrs worldwide

Area of business: Global

Job scope

- Carry out Hands on service, maintenance, commissioning, troubleshooting, repair of data center Aircon/Hvac/ CRAC (computer room aircon)

-Documentation of pre work risk assessement n post work service reports in a timely manner.

- person in the service office.

- Supervise subcontractors

- Mentor junior technician.

- Adhere to safety sop

Requirements:

- Min Nitec Building Services, Electrical or Mechanical Engineering

- Min 2 years’ experience in the M&E industry

-Proficient with documentation for example, Job method statement, permit to work, risk assessement.

Added advantage:

Data center aircon servicing

We believe that effective risk management will help us safely navigate the volatile and complex business and regulatory environments to achieve success. In Income, our Risk Management and Compliance Departments drive risk management and compliance agenda, ensure sound and effective risk management and compliance framework and promote risk culture. We work in close partnerships with our business and other stakeholders to achieve the desired business and risk outcomes. We stay relevant and therefore, getting better and sharper at what we do is the constant. We are looking for a pro-active individual and a strong team player, who wants to grow with Income, to join us.

Description for Internal Candidates

You will play pivotal role within Risk and Compliance Innovation team and partner with the leadership team across the Risk and Compliance Departments to support the Chief Risk Officer to achieve the risk and compliance goals of Income. In your role, you will be responsible for:

• Developing models and data analytics capabilities to strengthen risk insights in monitoring key risk profiles.
• Identifying emerging trends or potential threats and supporting business strategies through data-driven analysis.
• Working closely with the Risk Management and Analytics Centre of Excellence, supported by a group of data science teams within Income, to enhance risk management effectiveness. This will be done through:Reviewing areas that are best supported by technology
  Greater use of analytics in evaluation
  Development and usage of meaningful key risk indicators
  
• Implementing or being involved in the implementation of changes and conducting necessary training.
• Providing high-quality and insightful reports to board and management.
• Assisting in the development and maintenance of quantitative risk models, including involvement in stress testing and capital allocation models to support ORSA reporting and annual risk appetite reviews.
• Implementing and maintaining data pipelines and workflows using tools like Kedro and AWS services (Redshift, S3) to ensure efficient data processing and analysis.
• Developing predictive models using machine learning techniques to improve risk assessment.
• Creating insightful dashboards and visualizations using Tableau to communicate complex risk information effectively.
• Collaborating with cross-functional teams to integrate data analytics outputs into risk management strategies and decision-making processes.

Qualifications

• Bachelor's/Master’s degree in Statistics, Financial Mathematics, Computer Science, or a related quantitative field.
• About 5 years of experience as a data analyst, preferably in a major insurance company or similar financial institution.
• Strong track record of using data mining and analytics to highlight risks and improve efficiencies.
• Proficient in Python and SQL, with experience using Jupyter Notebooks for analysis and model development.
• Knowledge of models and algorithms used for data analytics, including machine learning techniques.
• Experience working with large datasets in cloud environments (e.g., AWS Redshift).
• Familiarity with data pipeline tools such as Kedro.
• Strong expertise in data visualization and dashboard creation using business intelligence tools (Tableau, Power BI, Qlik, etc.).
• Understanding of financial risk management principles and familiarity with quantitative risk modelling concepts.
• Strategic mindset and strong analytical and problem-solving skills, able to consider risks/issues and implications to business holistically.
• Ability to analyse large datasets with attention to detail.
• Strong communication skills with the ability to explain complex or technical matters in a clear and concise manner.
• Excellent internal and external relationship-building skills.
• Ability to work effectively in a collaborative team environment

Data Engineer - Cloud

SCOPE OF THE ROLE

You will be responsible for the end-to-end software development and support for all work related to projects, quarterly change requests, L3 production fixes. This includes software product implementation and administration, application design, development, implementation, testing and support. You will be expected to work on Kubernetes based platforms.

You will also be responsible for quality assurance of the team’s delivery in conformance with the Bank-defined software delivery methodology and tools. You will partner with other technology functions to help deliver required technology solutions.

Other responsibilities include:

1. Create frameworks, technical features which helps in faster implementation of OpenShift Kubernetes based applicationsCarry out POCs involving new data technologies, new container platforms, sidecars, daemonsets
2. Design and develop application frameworks for container integration
3. Create technical documents such as solution design, program specifications for target solutions
4. Perform design and development of applications which may not be limited to: Software Applications, Data Integration, User Interfaces, Automation
5. Maintain and recommend software improvements to ensure a platform centric management of software applications
6. Performance tuning
7. Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing
8. Perform tasks as part of a cross functional development team using agile or other methodologies and utilising project management software
9. Independently install, customise and integrate software packages, programs, product releases

Functional skillsets

Hands-on experience in implementing large scale data warehouse & analytics platforms in financial services industry with good functional knowledge of products & services offered in Retail bank / Wholesale / Global Markets covering some of the following analytics domains:

1. Experience in deploying stateless, stateful workloads on OpenShift Kubernetes based platformExperience in developing microservices applications using node js, React, Java, RabbitMQ, Akka framework, Apache Consul, Apache Geode, Redis
2. Experience in developing frameworks using Spark, Scala, Java, PythonExperience in working with in-memory applications
3. Strong knowledge of Operating Systems
4. Experience in container deployment management using either Helm Package manager or Kustomize
5. Experience in integrating container applications with an external security vault such as CyberArk Conjur, AAM
6. Experience in deployment automation of container applications using Jenkins, Jfrog, Gradle, Bitbucket, Groovy

Expertise in implementing appropriate security of data (SSL, Encryption)

Expertise in Load balancing and replication, scheduling

1. Good knowledge of Custom Resources, Docker, Taints & tolerances, Node affinity, ConfigMapsExperience in Shell scripting, Control-MExpertise in design of role based fine grained access control
2. Supporting application failures, planning for resiliency, Back-up Recovery

Technical skillsets

Cloud Engineer

1. Platforms provided by IBM Cloud Pak for Data (CP4D) Kubernetes based platforms such as OpenShift, AWS, Azure, GCPSoftware defined storage (ODF)IBM Storage FusionS3 compatible storage options (Dell ECS, HCP)Node js, React, Java, RabbitMQ, Akka framework, Apache Consul, Apache Geode, Redis
2. Scala, Java, PythonHelm Package manager, Kustomize
3. Jenkins, Jfrog, Gradle, Bitbucket, Groovy Shell scripting, Docker

Splunk, Prometheus, Geneous

At least, 2 to 3 technical certifications in any of the below technologies:

1. OpenShiftKubernetes, DockerLanguage – SQL, Java, Python, ScalaAutomation / scripting – CtrlM, Shell Scripting, Groovy

Additional Experience required for all teams to create an added advantage:

1. CI/CD software, Testing Tools - Jenkins, SonarQube
2. Version Control Tool - Aldon+LMe, CA Endeavor
3. Deployment Tool kit -Jenkins
4. Service or Incident Management (IcM) Tools - Remedy
5. Source Code Repository Tool - Bitbucket
6. Scheduling Tool - Control-M
7. Defect Management Tool - JIRA
8. Application Testing tool – QuerySurge
9. Cloud certification

Position: Quantitative Data Analyst

Duration: 12 months , renewable

Location: Central, SG

JD

• Perform statistical analyses and derive business insights for Trading, Execution, and Sales

• 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.

Requirement

• 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.

APPLY to this ad or email your CV at [email protected]

Job Description:

• Development and maintenance of Huawei Big Data Stack. Extraction of structured and unstructured data from different sources and create structured Data Models. Daily work will be on Hive, Spark & Hadoop and other related tools and technologies.
• Develop features for recommendation to improve the business metrics like CTR, CVR etc.
• Develop reports from the data based on the business requirements. Develop and Maintain systems for Self-Analytics and other Visualization requirements.
• Maintain and Manage the daily running of the ETL jobs and fix the data pipeline issues, focus on “cost, compute, storage” optimization tasks on day to day basis.
• Deploy Deep Learning Models, maintain and improve their prediction accuracy through data quality, feature enhancement and hyperparameter tuning.

Skills / Qualifications:

• Master Degree/Bachelors in Computer Science or other related fields with coding and development background in the data base queries and related products.
• Strong Working Experience with Hive, SQL, data modeling, and at least one programming language (Python, Java, Scala).
• Strong working experience in big data technologies such as Apache Spark, Hive, Hadoop and Linux.
• Strong capability to coalesce and present complex data sets from different sources to different data consumers.
• Working Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy.
• Working experience in determining and implementing the security models based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
• Solve data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
• Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
• Maintain the data ensure data is valid, avoid data duplicates before exposing.
• Experience in data visualization and report generation, for AB Test and Model Performance.

Interested candidate who wish to apply for this position, please click on APPLY NOW

EA License No.: 01C4394 | PERSOLKELLY Singapore Pte Ltd

EA Registration No.: R23117518 | Heah Sian Wei

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its local and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services, complying with Government’s COVID-19 health advisories and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an email to let us know. Please feel free to contact us if you have any queries.

• Position: Senior / Laboratory Assistant
• Working Hours: 5days (Mon-Fri), 8 am to 4.30 pm.
• Work location: Jurong Island (Transport provided at Jurong East)
• Salary : 1,900 to $3,200 + Site allowance

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

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

The Laboratory Assistant is responsible for conducting of laboratory tests and samples and quality inspections assigned to them by the Supervisor.
They are expected to be knowledgeable on all equipment operating procedures as well as all quality control procedures and competent on the use of laboratory equipment.

Other responsibilities include:

• Raw material process and finished product quality control analysis
• Advance maintenance, calibration and troubleshooting of assigned laboratory equipment
• Maintenance of chemicals and consumables inventory, preparation and standardization of chemical reagents and waste management.
• Maintenance of quality records and development of quality procedures
• Training of junior laboratory or chemical technicians
• Calibration of equipment
• Conduct and contribute to risk assessment, Quality Procedures and Decision making on quality & maintenance
• Procurement of materials and budget controls
• Implementing QA & Safety Activities

Requirement:

• 1 – 2 years or more than 5 years’ experience in conducting Manual Wet Chemistry or Manual Lab Testing.

Embark on a Career That Impacts Lives

Doesn't matter if you are fresh to the industry, seeking a dynamic role in a fast-growing field or already in the Financial Advisory industry? Join as a Financial Advisor, where flexibility, entrepreneurial spirit, and unlimited earning potential converge. All we need is your energy and we will sculpt you into a success, not just using old methods, but also innovative methodologies. #WorkSmartNotHard

Key Responsibilities:

- Assess and craft financial strategies to meet clients' goals.

- Guide clients on retirement, education, and investment planning.

- Client Relationship Management.

- Interpret financial summaries and projections.

- Grow and maintain a strong client base.

Benefits & Rewards:

- Sign-On Bonus: S$500 upon career kick-off.

- Tailored Training: Gain essential certifications and skills with ongoing support.

- Funding Programme: Corporate financing for the first 24 months of your career.

- Attractive Rewards: Incentive trips and a 'work hard, play hard' ethos.

- Flexible Income Structure: Uncapped earnings through commissions, incentives, and bonuses.

Qualifications:

- Polytechnic diploma, JC cert, or degree in any field.

- Results-driven, motivated by performance rewards.

- Strong interpersonal skills with a passion for financial empowerment.

- Ideal for Career-Switchers / Fresh Entry / Less Than 2 Years of Experience within Financial Advisory Industry.

Entrepreneurial Experience: Learn to grow your own business.

Mentorship: Guided by successful mentors, who have strong teamwork and responsible ethos. #NoManLeftBehind

Join us to build a fulfilling career and make a meaningful impact. Apply now and start shaping your future!

Salary: up to $3820

Working Days & Hours: Mon-Fri Office Hours

Location: Simei

Job Description:

* Provide social casework management, conducting psychosocial and financial assessment, counselling and recommending appropriate intervention in the management of patient care

* Facilitate discharge care planning

* Participate in multi-disciplinary team meetings and facilitate family conferences

* Network with relevant organisations, social service agencies and individuals to activate social and financial resources to meet patient’s needs

* Conduct home-visits

* Organise and run psycho-emotional-social group activities for patients

Job Requirements: Min Degree in Social Work

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

Responsibilities

• Ensures that all unsecured and secured applications are processed with accuracy in accordance to the guidelines set by the bank, and within stipulated SLAs.
• This includes and are not limited to:
• Process and verify authentication checks &/or data entries
• Perform and verify accurate income computation
• Ensure accurate input/output to enable good customer service delivery
• Documentation of procedures to ensure compliance with group policies in procedures.
• Conduct internal reviews / tests to ensure compliance Assist with data analysis, report findings, recommend corrective actions and preventive actions for review.
• Handle administrative duties that include but are not limited to filing, printing, scanning, archiving

Skills/Requirement

Job Requirements

• Ability to think objectively and 'think outside the box' when analyzing issues
• Possess a strong analytical and problem-solving skills with excellent verbal/written communication and interpersonal skills
• Proficient in the use of Microsoft Excel, powerpoint and macro

• German MNC - Biomedical industry
• Entry level, training provided
• Gross salary (Basic $2,500 + Shift allowance $180 + Transport allowance $110)
• Contract 6 months - Subjected to extension/conversion

Location: East

Working hours:

Shift 1: 655am to 305pm

Shift 2: 255pm to 1105pm

Job scope:

• Perform assembly of medical device using microscope in a cleanroom environment

Job requirement:
Singaporean only

Interested candidate may apply via email to spkp(at)scientecpersonnel.com (Indicating Job ID J47303 for faster processing). All job applications will be processed with strict confidence and only shortlisted candidate will be contacted.

Poh Tze Qi (Kayley) | R2197837

ScienTec Consulting Pte Ltd | 11C5781

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

Job Highlights

5 Days Work Week

Medical & Dental benefits

Dynamic and Vibrant Working Environment

Summary

We are seeking a highly skilled and analytical Data Analyst to join our team. In this role, you will leverage data to support product development and quality control, offering valuable insights through trend analysis. You will play a critical role in optimizing processes and interpreting complex datasets to drive continuous improvement.

Responsibilities:

• Collaborate with internal and external stakeholders to understand data needs in order to provide data-driven recommendations for product development and process optimization.
• Develop, maintain and enhance dashboards, reports and visualization using Power BI and other tools for product quality and process efficiency.
• Stay current with the latest data trends and technologies and AI applications in the food industry to drive innovation and improvement.

Requirements:

• Bachelor’s degree or higher in a relevant field such as Food Science, Chemistry, Nutrition, Data Analytics or IT.
• Minimum 1 year of experience in data analytics.
• Proficiency in data analysis and visualization tools such as Excel, Power BI and other relevant software.
• Strong written and verbal communication skills, with the ability to communicate in Chinese.
• Excellent problem-solving and analytical skills, with keen attention to detail.
• Ability to work independently and collaboratively in a team environment.
• Only Singaporeans may apply.

Qualified or interested candidates, please click "Apply " & send your updated resume stating the following:-

1. Reason for leaving past and present employment

2. Current/ last drawn salaries

3. Expected Salary

4. Date of availability and/or Notice Period

Data & Innovation

• Gather, analyze, and interpret data to provide actionable insights
• Identify opportunities for automation and AI integration to improve internal processes
• Ability to explain complex technical concepts to non-technical stakeholders
• Collaborate with IT and business teams to implement AI and data-driven solutions
• Adept at problem-solving and be able to address challenges related to data analysis and AI implementation

Industry Engagement and Management

• Engage strategic accounts and engage companies to diagnose gaps and identify opportunities
• Consult with employers to promote adoption of WSG programmes and progressive human resource practices to address their manpower needs
• Develop deep understanding of employers' hiring demands and recommend suitable candidate profiles to meet their needs
• Coordinate with employers on the hiring outcome and monitor closely on the sector hiring demand
• Analyse industry related information to evaluate and make recommendations for management decision making

Requirements

• Proficient in data analysis and visualisation tools (e.g. Stata, R, Python, Tableau)
• Experience in exploring and implementing AI technologies such as Robotic Process Automation (RPA) and generative AI
• Relevant experience in industry engagement, account/ project management and/or consultancy roles is a bonus
• Salary will commensurate with experience

All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.

Job Title: Document Scanning and Data Entry Assistant

Working Hours/Days: Monday - Friday, 9:00 PM - 6:30 AM

Job Type: 3 months contract until 30 December 2024

Job Description:

• Scanning of documents
• Ensure accuracy and timely completion of scanning tasks
• Data entry and general administrative duties as required

Requirements:

• Minimum N-Level qualification
• Proficient in Microsoft Office Suite

Our client is a Multinational Bank

Responsibilities:

· Analyse Business requirement based on prioritization given by PO.

· Support functional knowledge of the team with the help of the PO.

· Research to determine if solutions currently exist in or outside the team.

· Understand technical constraints and participate to the software design.

Ensure integration of the software in the IS in sync with the functional architect

Skills/Requirement

· Proven Experience as a business analyst in a financial organization and more specifically on Market Data administration domain.

· Relevant experience in FPML format

· Relevant experience on Asset Control software

· Exposure to the Capital Markets with proficiency in financial instruments (Bonds, Rates, Equity, etc..), trading lifecycle and specifically market data.

· Relevant experience with working with external source like Bloomberg, Reuters

· Expertise in static market data with knowledge of data types, sources, and uses within financial systems, including reference data, price data.

Proven experience in technical proficiency with strong skills in SQL, Excel and possibility programming languages like Python or R.

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

PERSOLKELLY Singapore Pte Ltd • EA License No. 01C4394 • EA Registration No. R1551626 (SUJA THERESA FRANCIS)

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

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

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About the Client:

Our client is a reputed IT Services Company

Responsibilities:

• As a Senior Techno-Functional within Market Data, Financial Markets Regulatory program, you will be involved in critical regulatory projects, working in a dynamic global team with software engineers, other project managers, business stakeholders, Operational partners and other technical experts globally.
• Perform in-depth analysis around key requirements of the project and regulatory changes
• Identify risks & issues and communicate them to the relevant people in a timely manner – assist with proposing & planning mitigating steps.
• Determine Strategic Solutions / Proposals – focusing on long term efficiency, risk reduction and regulatory compliance
• Responsible for financial targets and stakeholder management with senior management across Treasury, Markets, Operations, Wealth and PB.
• Review of existing systems logic and data lineage to legacy reporting systems, including but not limited to review of XML/FpML messages.

Requirements:

• Bachelor’s degree in Information Technology/Computer Science/Programming & Systems Analysis or related course
• Strong experience in Trade, Treasury, Markets, Operations, Wealth
• Experience in Market data Management and transaction reporting
• Minimum 12+ Years of experience in business analysis and Investment Banking with direct experience in front-to-back trading, order processing and regulatory reporting. More the experience, the better. Senior profiles highly preferred.
• Strong experience in Regulatory Reporting/ Trade Transaction Reporting/Trade Reporting
• Familiarity with financial products - listed and OTC (IRS, Equities, FX, Fixed Income, swaps and rates/credit derivatives). Excellent understanding of Trade Life Cycle.
• Prior demonstrable Experience on Regulatory reporting regimes specifically in he EU (viz: MiFID II, Dodd Frank, EMIR etc) SQL skills for data interrogation and analysis. XML and FPML expertise are preferred.

Interested candidates, who wish to apply for the above position, please send in your resume to [email protected]

We regret to inform that only shortlisted candidates will be contacted

PERSOLKELLY Singapore Pte LtdEA License No. 01C4394 EA Reg No: R1551772 (Kankanala Lakshmi Prasanna)

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The information contained in this e-mail and any accompanying documents may contain information that is confidential or otherwise protected from disclosure. If you are not the intended recipient of this message, or if this message has been addressed to you in error, please immediately alert the sender by reply e-mail and then delete this message, including any attachments. Any dissemination, distribution or other use of the contents of this message by anyone other than the intended recipient is strictly prohibited.

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its local and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an emailto let us know. Please feel free to contact us if you have any queries.

All parties involved in any form of workforce engagement are to strictly adhere to prevailing regulations and laws that govern local fair employment practices, and to invest reasonable efforts in building a strong Singaporean core workforce, recruit and select candidates based on merit and prohibit discrimination based on age, race, gender, religion, marital status and family responsibility or disability. For more information, please refer to MOM and TAFEP websites.

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Responsibilities

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

Why Join Us

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

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

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

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

Join us.

Team Introduction

The TikTok privacy governance team is affiliated with the TikTok PDPO (Privacy and Data Protection Office), providing operational support for TikTok privacy security construction and privacy risk governance projects, including data security, APP security, application security, etc., and is committed to high-quality and efficient operation execution .

Job Responsibilities:

1. Support data classification and taxonomy methods and standards, understand business, cooperate with data team. Support analysis, identification and marking various data samples in storage, and ensure accuracy and recall rate.

2. Support AI team to improve algorithm recognition and machine learning ability, analyze badcase of algorithm recommended data labels, put forward suggestions and basis for annotation/labelling, and participate in the discussion of algorithm model improvement solutions

3. Deeply understand the business, investigate the data samples of each business line, and improve the classification standard of data labels and sample database

4. Improve the data annotation operation process, optimize the label sampling and review mechanism, and improve the efficiency of manual or automated standards

5. Participate in the functional optimization design of the annotation platform

Qualifications

1. Majored in Computer Science or IT related, with research and development in testing, data analyst or DBA experience, familiar with common data storage technologies.

2. Excellent communication and analysis skills and good reasoning skills, able to quickly understand the business and judge the sample type according to the business attributes

3. Be able to effectively do repetitive tasks and effectively with a minimum of errors

4. Knowledge of artificial intelligence and machine learning. Strong interest is preferred

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

As a Data Analyst in D-SIMLAB, you will get exposure in both technical and soft skills development. The role does not limit to only software development, but also involves in providing professional consultation services to customers, with the following key responsibilities:

Work together with a team of highly skilled Software Engineers and Data Scientists in software product deployment and delivery, at world leading semiconductor manufacturers.
Actively involved in product enhancement (in the area of visualization and algorithms) which improves the quality of D-SIMLAB product.
Responsible for key software components development.
Construct ETL to interface with data sources to feed d-simcon data model
Analyse data for consistency, completeness and correctness in the context of simulation modelling.
Identify factors associated with performance gaps between plan and actual.
Propose strategies to improve production line performance
Write codes for data analysis and got experience in wafer fabs will be a great advantage
We are looking for candidates fulfil the following criteria:

Bachelor/Master Degree specialises in Computer Science/Engineering or Industrial Engineering.
Diploma holders with relevant experience are encouraged to apply.
Enjoy working with experts with different cultural and technical backgrounds.
Love to travel the world and work on challenging projects.
Interest in career progression by strengthening your technical and soft skills.
Fresh graduates are welcome to apply.

Job Title: Data Engineer

Location: Tai Seng, Singapore

Job Type: Full-Time

Overview:
We are looking for a fresh graduate (degree or diploma) Data Engineer to join our growing team. In this role, you will design, build, and maintain data pipelines and infrastructure to support the collection, storage, and analysis of large volumes of data. The ideal candidate will have studied data engineering, cloud technologies, and have knowledge at optimizing data systems for performance and scalability. This position plays an important supporting role to our engineering team.

Key Responsibilities:

1. Data Pipeline Development:
   • Design, construct, and maintain scalable data pipelines that facilitate the extraction, transformation, and loading (ETL) of data from multiple sources.
   • Optimize data pipelines to ensure high availability, performance, and data accuracy.
   • Automate data workflows to streamline data processes and reduce manual interventions.
2. Data Infrastructure Management:
   • Develop, implement, and manage large-scale data processing systems using modern cloud platforms (e.g., AWS, Azure, Google Cloud).
   • Design and implement scalable data storage solutions such as data lakes, data warehouses, and databases (e.g., Redshift, Snowflake, BigQuery).
   • Monitor data systems for performance and scalability, making necessary improvements to infrastructure.
3. Collaboration with Stakeholders:
   • Work closely with data analysts, data scientists, and business teams to understand data requirements and deliver solutions that meet their needs.
   • Collaborate with software engineers and IT teams to integrate data systems with existing applications and services.
   • Ensure data architecture is aligned with the overall business strategy and technical environment.
4. Data Governance and Security:
   • Ensure data quality and reliability by implementing data validation, cleansing, and integrity checks throughout the pipeline.
   • Enforce data security best practices, ensuring that sensitive data is appropriately protected and compliant with regulations.
   • Implement data governance policies to manage metadata, data lineage, and access controls.
5. Performance Optimization:
   • Analyze and optimize query performance on large datasets, ensuring fast data retrieval and minimizing costs.
   • Implement monitoring and logging to identify bottlenecks and optimize resource usage.
6. Continuous Improvement:
   • Stay current with emerging data engineering technologies and techniques to keep systems at the cutting edge.
   • Continuously explore new ways to improve data architectures, pipelines, and processes to enhance efficiency and scalability.

Qualifications:

• Fresh graduates with Bachelor’s degree or Diploma in Computer Science, Information Technology, or a related field (or equivalent work experience).
• Proven experience as a Data Engineer or in a similar role, working with large-scale data systems.
• Strong proficiency in SQL, Python, or other programming languages used in data processing.
• Knowledge with cloud-based platforms and services (e.g., AWS, Azure, Google Cloud).
• Familiarity with distributed data processing frameworks such as Apache Spark, Hadoop, or Kafka.
• Knowledge with data warehousing and ETL tools (e.g., Snowflake, Redshift, Airflow, DBT).
• Strong understanding of database systems, both relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra).
• Knowledge of data modeling, data architecture, and data governance practices.

Preferred Skills:

• Knowledge with machine learning pipelines or real-time data processing.
• Familiarity with DevOps practices and CI/CD pipelines for data engineering.
• Knowledge with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment.

Benefits:

• Competitive salary and bonus structure.
• Opportunities for professional development and certification.

Application Process:
If you are passionate about building data systems that support impactful business decisions, we encourage you to apply. Please submit your resume and cover letter to [[email protected]].

Our Client:

• Electrical Equipment Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

About JobTech
JobTech is the world's leading artificial intelligence and big labour data analytics product company that empowers leaders to develop people for new work realities, driven by real labour market needs and individuals' personal aspirations. JobTech is growing rapidly with global big names customers from both private and public sectors.

About the Team
The JobTech team is an enthusiastic bunch obsessed with improving the jobs market by marrying technology and labour market intelligence. We embrace empowerment and appreciate the depth of every member’s area of expertise. We are hands-on dreamers that are willing to invest in projects and people. If you think you should be part of this awesome team looking to scale faster and better, don’t be shy and let us know!

Job Description

As a Data Scientist at JobTech, you will leverage your skills in machine learning, data analytics, and AI to build solutions that enhance our platform and provide real value to our users. In this role, you’ll collaborate closely with internal teams and clients, delivering data-driven insights that inform product decisions and client strategies. You’ll also be directly involved in client calls, where you will present findings, discuss analytical results, and ensure alignment with client objectives.

Key Responsibilities:

• Develop and Implement AI Models: Build and optimize machine learning models, focusing on natural language processing (NLP), recommendation engines, knowledge graphs, and information extraction to drive value for both our platform and clients.
• Cross-functional Collaboration: Work with product managers, engineers, and fellow data scientists to ensure machine learning and analytics solutions are aligned with business goals.
• Prototyping and Experimentation: Continuously experiment with new algorithms and data techniques. Prototype models, iterate, and test their performance to ensure they meet real-world needs.
• Data Integrity & Architecture: Collaborate with data engineers to design and maintain scalable data architectures, pipelines, and analytics systems.
• Model Deployment & Monitoring: Deploy machine learning models into production environments, monitor their performance, and iterate on improvements to enhance results.
• Data Analytics & Insights: Perform in-depth data analytics, turning raw data into actionable insights that inform product decisions and client strategies. Use statistical and machine learning models to identify trends, patterns, and opportunities for product improvement.
• Client Engagement: Participate in client calls to present your data-driven findings and recommendations. Collaborate with clients to understand their needs and ensure our analytics solutions meet their expectations.

Requirements

• Educational Background: Master’s or PhD in Data Science, Computer Science, Engineering, or a related quantitative field.
• Experience: 2+ years of experience in data science or analytics, with a proven track record of delivering machine learning solutions and driving value through data insights.
• Knowledge Graphs Expertise: Solid understanding and experience with knowledge graph representation and applications, particularly in improving information extraction and recommendation engines.
• Data Analytics Expertise: Strong experience in data analytics, including exploratory data analysis, statistical modeling, and delivering insights to business and client stakeholders.
• Client Communication Skills: Ability to communicate complex data insights to non-technical audiences and engage with clients to address their needs.

Technical Skills:

• Advanced proficiency in Python and familiarity with data analysis and machine learning libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
• Experience with SQL and relational databases. Experience with Java is a plus.
• Hands-on experience building and deploying machine learning pipelines.
• Knowledge of cloud platforms (e.g., AWS, GCP) and containerization tools like Docker is advantageous.

Compliance with our strict information security policies is mandatory

• Policy Compliance: Adhere to JobTech's information security policies and procedures.
• Risk Management: Identify, assess, and mitigate security risks to protect sensitive information.
• Incident Response: Participate in the detection, analysis, and response to security incidents.
• Security Training: Attend regular training on information security best practices.
• Data Protection: Ensure the confidentiality, integrity, and availability of JobTech data.
• Regulatory Compliance: Ensure compliance with relevant legal, regulatory, and contractual requirements related to information security.
• Team Collaboration: Work closely with other functional departments to ensure cohesive security measures.
• Confidentiality: Maintain the confidentiality of sensitive information and enforce data protection measures.
• Continuous Improvement: Stay updated on the latest security trends and continuously improve the JobTech's security posture.

Job Description:

• Recognised degree in Computer Science, IT or engineering with at least 5 years’ relevant experience in software development;
• Gone through at least one full software development lifecycle (SDLC) with experience in producing SDLC documentations;
• Extensive experience in analysing requirements, designing, development and delivering complex enterprise applications on UNIX / LINUX and Windows environment;
• Strong Database and SQL knowledge for writing complex queries and performance tuning;
• Extensive experience in Data Engineering and BI tools like IBM DataStage, Informatica, Cognos Analytics, Power BI;
• Strong understanding of OLAP, ETL/ELT and BI design concepts and best practices;
• Exposure in Cloud Data platforms like Snowflake, Databricks, AWS Redshift will be an advantage.
• Experience in Automatic Fare Collection (AFC) system will be an advantage;
• Strong analytical and problem-solving skills; and

• Good written and verbal communication skills in English.

We are looking for Data Specialist to be part of Regional Analytics Team supporting AP Analytics activities. In this role, you will be working with various stakeholders utilizing both internal and external data points to generate good and useful data sources that the Analytics Team can work on to provide Business Decision Reports.

Responsibilities

• Support regional field and partner analytics through rigorous data management- facilitating business success by ensuring data availability and accuracy, driving data projects to design and generate crucial information for different business needs and stakeholders where required
• Manage existing data to create consistent structure and improved accuracy, working from multiple data sources to synthesize and generate key datasets for KPI tracking (sales, prices, contracts, etc.)
• Establish rules for data consistency among regions and projects, preparing and distributing reports with key business information, or customer level product usage and contract requirements
• Provide data management on key information related to sales, prices, contracts, special agreements, agreement programs (rebates, admin fees, pricing reviews), customer affiliation and customer grouping in CRM systems, ensuring data integrity and accuracy
• Support implementation and operation of foundational functional infrastructure such as data pipelines between internal data sources and internal or external data marts
• Plan and execute projects to enable new capability, implement data tools, and design data visualizations for effective communication
• Act as data product owner for one or more capabilities delivered by the team—which include 1) providing support, subject matter expertise, and point of contact for our analytics tools and data assets, 2) driving strong activation and adoption of analytics capabilities, and 3) maintaining operation of platforms
• Work with analytics team stakeholders to understand analytics needs and apply our capabilities to those needs
• Promote best practices for data analysis, management, and insights communication
• Participate on cross-functional teams (internal and external vendors) to facilitate an enhanced understanding of available data, analyses, and systems

Responsibilities

• Developing and delivering consumer lines’ pricing & claims strategy by launching price experiments, monitoring them and using optimization techniques (including predictive modeling) to set prices that maximize the value generated through customer acquisition and retention.
• Execute all aspects of analytics initiatives including exploratory data analysis, launching experiments, model development, model evaluation and benefit estimation:Developing queries to extract modelling data from our warehouses, creative data exploration and feature engineering.
  Building, enhancing and assembling machine learning and statistical models to predict losses and customer behavior to improve our pricing.
  Using and developing pricing algorithms to deliver new price optimizations and tests.
  
• Research, recommend, and implement statistical and other mathematical methodologies appropriate for the given model or analysis.
• Create excellent working relationships with business partners across the Chubb organization, IT and analytics peer groups.
• Have displayed strong preference to work with business users to make use of data to add value to the day-to-day business.
• Have a strong business sense especially when it comes to knowing how to translate technical concepts into language easily understood by lay audience + aptitude in building slide decks
• Know how to build rapport with business users to quickly build trust and gain buy-in

Required experience

• Undergrad in quantitative discipline (e.g. analytics, actuarial, mathematics, statistics, engineering, economics).
• 3+ years work experience in an analytical, modelling or data science role with programming experience in Python required.
• SQL and experience working with large or complex datasets.
• Extensive experience of multiple statistical methods, tools and language e.g Python, R, etc.
• Hands-on experience with building and developing GLMs and machine learning models.
• Experience with version control, automation tools and ML Ops based deployment.
• Be a fast learner to understand our business, its value drivers and the data it generates.
• Have a customer focus to both spot profit opportunities and do the right thing.
• Think creatively to master and combine machine learning and statistical approaches.
• Document your work, build pipelines to automate and teach others how to maintain it.

Desired Experience:

• Experience in insurance, or customer-facing industries (financial, competitive subscription-based industries like cell phone, ISP, cable) is preferred.
• Insurance industry/actuarial experience
• Experience with Spark and knowledge of advanced machine learning techniques and frameworks (e.g. H2O)