ARE YOU SEEKING FOR GROWTH YET YOU WANT A FULFILLING CAREER?

Be ready to embark on a journey which offers you an exciting opportunity!

HERE’S A SHORT INTRO OF WHO WE ARE

Since 2005, finexis has been more than just a financial services provider – we are lifelong confidantes, guiding clients through every stage of their financial journey. As the largest and fastest growing independently-owned financial advisory firm in Singapore, we are proud to have over 900 consultants and staff, $1 billion in assets under advisory, and strategic partnerships, that establish us as a market leader in personalised financial services.

We deliver tailored financial solutions in wealth management, investment planning, and risk management, all driven by our mission to impact lives beyond finance.

WHAT TO EXPECT

This role includes reporting and data analytics, performance management, business partnering and decision-making support.

WHAT YOU'LL DO

• Support business performance management cycles, including planning & budgeting, target setting, performance review, providing management information and analytics (scheduled and ad-hoc), etc.
• Responsible for streamlining and controlling business and financial data processes to ensure the accuracy and reliability of reports and analysis
• Serve as subject matter expert in designing, building, and maintaining business intelligence tools and Tableau dashboards
• Conduct comprehensive market studies to generate actionable business intelligence and strategic insights
• Support initiatives to develop financial models, prepare business cases, and support the implementation of strategic initiatives
• Create and maintain reusable SQL scripts and macros to streamline data extraction, aggregation, and validation processes across multiple data sources
• Undertake special projects and assignments as and when required.

WHO YOU ARE

• Degree in Accountancy, Finance, or related disciplines
• 3 years of working experience in Big 4, financial services, or e-Commerce sectors with financial analyst exposure
• Hands-on experience with Tableau, SQL and Python are highly desirable
• Strong analytical and problem-solving skills, with the ability to exercise sound judgment and intuitive thinking
• In-depth understanding of data structures and data management
• Meticulous, problem solver with a can-do attitude and a desire to excel
• Team player with excellent verbal and written communication skills
• Ability to work in a fluid, dynamically changing, and results-oriented environment

Founded in Switzerland in 1968, Zühlke is owned by its partners and located across Europe and Asia. We are a global transformation partner, with engineering and innovation in our DNA. We're trusted to help clients envision and build their businesses for the future – to run smarter today while adapting for tomorrow’s markets, customers, and communities. Our multidisciplinary teams specialise in tech strategy and business innovation, digital solutions and applications, and device and systems engineering. We excel in complex, regulated spaces including health and finance, connecting strategy, tech implementation, and operational services to help clients become more effective, resilient businesses.

If you share our values and want to do the best work, for the right reasons, we can offer you the chance to do it on a global scale and play a real role in shaping our exciting journey.

• Being a trusted advisor, guiding our clients towards a successful solution to their data challenges.
• Taking part in early engagement to help create a compelling vision of an Agile, data-driven organisation.
• Guiding and de-risking the delivery of data projects, promoting working iteratively to incrementally add value. Mediating, resolving conflicts and escalating when necessary.
• Supporting cross-functional data teams delivering data platforms, products and services in the cloud and in clients’ data centres.
• Helping stakeholders define both functional and non-functional requirements and ensuring solutions meet these requirements for performance, scalability, availability, security, and manageability. and sustainability
• Aligning work across the client’s organisation and their data strategy, taking a key role in choosing appropriate technologies, preparing performance and cost estimates for various use cases.
• Providing expertise on data privacy and information security topics whilst keeping up to date with relevant legislation e.g., GDPR, ensuring our clients’ regulatory compliance.
• Building capability in the architecture community and collaborating with other data roles such as other Architects, Data Engineers, Data Analysts and Data Scientists (i.e. providing guidance, support, and knowledge-sharing opportunities through forums and talks)
• Keeping yourself technically sharp, being open to learning new and emerging technologies, approaches and paradigms
• Mastering the big data world and help our customers to make their own data fit for business or operational purpose, whether in the Cloud or in their own data center.
• Leading data and devops engineers within your teams
• Working collaboratively with colleagues and clients, be it onsite, in the Zuhlke office, or from home.
• Designing data pipelines.
• Travelling to various Zuhlke locations, e.g. in mainland Europe, for project work or for developing competencies across the Zuhlke group.

If you feel you don't meet all the requirements, we are still happy to get to know you, learn more about your ambitions and ideas and look forward to receiving your application!

We welcome people from all backgrounds, regardless of their gender, personality, national origin, race, religion, colour, sexual orientation, gender identity, age, marital status, disability or veteran status.

Our Company

Gentco Logistics is a leading international liquid chemical logistics provider with three core business units: chemical tankers (5th largest fleet globally), chemical tank containers (2nd largest fleet globally), and terminal storage tanks. Our global headquarters are in Shanghai, China, supported by a regional headquarters in Singapore and 40 operational offices across six continents. Gentco Logistics is wholly owned by the Junzheng Group (ticker 601216.SH).

The Opportunity

The Data Analyst (PowerBI)position is a part of the Global IT Department, which is directly overseen by the Group’s CIO. Our team currently comprises of over 40 IT, software, and data professionals primarily based in Shanghai and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team!

Job Responsibilities:

· Respond to user requests to modify our existing PowerBI resources (~10 workspaces, ~30 semantic models, ~100 dashboards); create new PowerBI resources when necessary

· Respond to other user requests outside of PowerBI by using SQL queries to directly interact with our data warehouse

· Regularly audit data quality and security on both our PowerBI and data warehouse environments (Azure stack)

· Understand recurrent business requirements, able to help data engineers refine data mart designs based on real user expectations; make suggestions to the data team as a whole about how to service the organization better

· Promote a culture of organizational learning by facilitating knowledge sharing and implementing best practices in documentation by ensuring that business requests, and any resulting data products, are well documented.

Requirements:

· 3+ years SQL experience

· 2+ years PowerBI experience

· Bachelor's or Master's degree in any field

· Professional fluency in both written and spoken English

· Proficiency in Mandarin is an added advantage to effectively liaise with Chinese-speaking counterparts.

Desirable Qualities:

· Previous work experience related to with B2B ERP/TMS systems

· Previous work experience related to container shipping, freight forwarding, or maritime logistics

Position Start Date: 1st January 2025

Responsibilities:

Key duties and responsibilities include, but are not limited to:

1. Application Development

• Analyze the needs and requirements, plan and execute application-related bug fixings, enhancements, or new projects, including testing, provisioning, training and deployment of new solutions and applications.
• Document IT solutions and applications design and configuration and keep the documentation up to date for operational reference.
• Assist with user onboarding and training on new applications.

2. Application Support:

• Provide technical support to staff and students regarding the school's various applications, including learning management systems (LMS), student information systems (SIS), and administrative software.
• Troubleshoot technical issues related to application access, functionality, and performance.
• Manage access and permission to IT applications and ensure only authorized users have access to IT solutions and data.

3. Data Management:

• Manage and maintain the school's student data, ensuring accuracy, integrity, and security.
• Generate reports and data visualizations to support informed decision-making by school administration.
• Assist with data migration projects and ensure compliance with relevant data privacy regulations.

4. System Administration & IT Support:

• Perform basic system administration tasks for applications and data storage systems, ensuring system uptime and availability.
• Install, configure, and maintain application software and related tools.
• Monitor system performance and identify potential issues.
• Provide IT support and solutions to end users within the school and provide AV support to teachers in classroom projection systems, Smart TVs and Audio Systems.
• Assist in troubleshooting (First Level) laptops and PCs. Analyses and recovers system when malfunction occurs or alerts the respective vendor for repair or replacement of affected parts if the item is under warranty.
• Perform other duties as directed by the Head of Information Technology or such people as the School may designate

Qualifications:

The eligible candidate must have:

• Bachelor’s degree in information technology, Computer Science, Data Analytics, or a related field (preferred).
• Good knowledge in the System Development Life Cycle (SDLC) and methodologies such as Agile and Waterfall in software development and project management.
• Past experience or exposure to applications and platforms, including school management solutions (e.g., PowerSchool, iSAMS, Firefly) and Microsoft Dynamics and Talend Data Integration Platform.
• Experience with data analysis tools (e.g., Excel, Google Sheets) and potentially programming languages (e.g., Python, R) for more advanced data manipulation.
• Experience in integrating different platforms such as PowerShell, Phyton, .NET, Java, SQL Server Integration Services, and Reporting Services in an International school environment will be preferred.

Job Description & Requirements

We are seeking a highly skilled Market Data Analyst Presales Engineer to join our dynamic team. In this role, you will play a pivotal role in driving sales by leveraging your deep understanding of market data and technical expertise. You will collaborate closely with the sales team to identify and qualify opportunities, conduct in-depth technical assessments, and deliver compelling product demonstrations.

Technical Expertise:

Develop a strong understanding of our products and services (Cryptocurrency, Investments, etc), including their technical specifications, capabilities, and benefits.

Stay up-to-date with industry trends, emerging technologies, and competitive landscapes.

Conduct in-depth technical assessments of client requirements and propose tailored solutions.

Contribute to the development of the investment strategy, focusing on emerging trends in Fintech and infrastructure.

Identify new areas for investment within the fintech space, particularly in Payment solutions and decentralized technologies.

Presales Support:

Collaborate with the sales team to identify potential opportunities and qualify leads.

Develop and deliver compelling product demonstrations, presentations, and technical proposals.

Address technical questions and concerns from prospective clients, providing clear and concise explanations.

Conduct proof-of-concept (POC) implementations and data analysis to showcase the value of our solutions.

Data Analysis and Insights:

Analyze market data to identify trends, opportunities, and potential challenges.

Leverage data analysis techniques to support sales efforts and provide valuable insights to clients.

Develop custom data analysis solutions to address specific client needs.

Required Skills:

Data Analysis, Market research, Presales

domain Skills:

Cryptocurrency, Investments, etc.

Portfolio management experience is preferred.

JOB DESCRIPTION

This role encompasses two primary responsibilities, the first involves data science activities and the second focus on full-stack development.

Data Science Responsibilities:

• Collect, clean, and preprocess large datasets
• Develop and deploy machine learning models to address challenges related to Keppel energy systems, including predictive modeling, classification, and clustering
• Apply statistical analysis to derive actionable insights and support data-driven decision-making
• Perform data visualization to effectively communicate findings to both technical and non-technical stakeholders
• Collaborate with data science and engineering teams to identify opportunities for leveraging data in product development and operations

Full Stack Development Responsibilities:

• Design, develop, and maintain scalable web applications, ensuring seamless integration with data pipelines and models
• Build APIs and microservices to serve machine learning models and integrate with front-end interfaces
• Implement responsive front-end interfaces using modern frameworks (e.g., React) to display data insights and support interactive user experiences
• Optimize back-end services for efficiency and scalability, ensuring secure data access and real-time performance
• Troubleshoot and debug issues across the full stack (front-end, back-end, and database layers)

Such other duties and responsibilities as may be reasonably requested by your immediate supervisor / the head of department from time to time.

JOB REQUIREMENTS

• Bachelor's degree in computer science, software engineering or related field
• Strong knowledge of machine learning algorithms, statistical analysis, and data mining techniques.
• Strong understanding of back-end frameworks and technologies (e.g., Node.js, Django, Flask, Express).
• Proficiency in programming languages such as Python for data science applications.
• Proficiency in front-end technologies
• Hands-on experience with databases and cloud-based data storage solutions.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud)
  

Our client, a well-known company is looking for candidates for the position of Demand and Supply Specialist.

SUMMARY

• Function as Demand & Supply Specialist to manage monthly operations, mid-long term sales forecasting for Indonesia
• Work closely with counterparts such as Pricing colleagues, cross functional team and Distributor to maximize sales with appropriate production in Indonesia

RESPONSIBILITIES

• Create monthly Demand & Supply plan and negotiate with Distributor
• Explain Demand & Supply thinking way to cross function team so as to secure production allocation for future months
• Good overview of market, promotion activities and competitor situation to explain to internal stakeholders
• Visualize and summarize distributors requests for fleet / ad-hoc orders to ensure production supply
• Visit distributor and dealers regularly to gather feedback from frontline and improve forecast accuracy
• Monitor sales achievement daily/monthly and discuss countermeasure with Distributor or Function team to bridge the gap.

REQUIREMENTS

• Basic knowledge of demand & supply concept or working experience preferred in Automotive/Logistics
• Individuals with 1-2 years of relevant experience are preferred
• Proficient in MS Office (Excel/Powerpoint) to run analysis & visualization, reporting purposes etc.
• Flair for numbers, strong analytical skills with an eye for details
• Excellent communication skills and a team player
• Well organized with good time management abilities to meet deadlines and schedules
• Determined and takes strong ownership in task
• Able to travel overseas as and when required by business
• Open to work overtime when required

EA License No.: 01C4394 (PERSOLKELLY Singapore PTE LTD)

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

TikTok will be prioritizing applicants who have a current right to work in Singapore and do not require TikTok's sponsorship of a visa.

About TikTok

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.

About The Team

The TikTok Data Ecosystem Team has the vital role of crafting and implementing a storage solution for offline data in TikTok's recommendation system, which caters to more than a billion users. Their primary objectives are to guarantee system reliability, uninterrupted service, and seamless performance. They aim to create a storage and computing infrastructure that can adapt to various data sources within the recommendation system, accommodating diverse storage needs. Their ultimate goal is to deliver efficient, affordable data storage with easy-to-use data management tools for the recommendation, search, and advertising functions.

What you will be doing:

1. Design and implement an offline/real-time data architecture for large-scale recommendation systems.

2. Design and implement a flexible, scalable, stable, and high-performance storage system and computation model.

3. Troubleshoot production systems, and design and implement necessary mechanisms and tools to ensure the overall stability of production systems.

4. Build industry-leading distributed systems such as offline and online storage, batch, and stream processing frameworks, providing reliable infrastructure for massive data and large-scale business systems.

Qualifications

What you should have:

- Bachelor's Degree or above, majoring in Computer Science, or related fields, with 1+ years of experience building scalable systems;

- Proficiency in common big data processing systems like Spark/Flink at the source code level is required, with a preference for experience in customizing or extending these systems;

- A deep understanding of the source code of at least one data lake technology, such as Hudi, Iceberg, or DeltaLake, is highly valuable and should be prominently showcased in your resume, especially if you have practical implementation or customisation experience;

- Knowledge of HDFS principles is expected, and familiarity with columnar storage formats like Parquet/ORC is an additional advantage;

- Prior experience in data warehousing modeling;

- Proficiency in programming languages such as Java, C++, and Scala is essential, along with strong coding skills and the ability to troubleshoot effectively;

- Experience with other big data systems/frameworks like Hive, HBase, or Kudu is a plus;

- A willingness to tackle challenging problems without clear solutions, a strong enthusiasm for learning new technologies, and prior experience in managing large-scale data (in the petabyte range) are all advantageous qualities.

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.

TikTok will be prioritizing applicants who have a current right to work in Singapore and do not require TikTok's sponsorship of a visa.

About TikTok

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.

About The Team

The TikTok Data Ecosystem Team has the vital role of crafting and implementing a storage solution for offline data in TikTok's recommendation system, which caters to more than a billion users. Their primary objectives are to guarantee system reliability, uninterrupted service, and seamless performance. They aim to create a storage and computing infrastructure that can adapt to various data sources within the recommendation system, accommodating diverse storage needs. Their ultimate goal is to deliver efficient, affordable data storage with easy-to-use data management tools for the recommendation, search, and advertising functions.

What you will be doing:

1. Design and implement an offline/real-time data architecture for large-scale recommendation systems.

2. Design and implement a flexible, scalable, stable, and high-performance storage system and computation model.

3. Troubleshoot production systems, and design and implement necessary mechanisms and tools to ensure the overall stability of production systems.

4. Build industry-leading distributed systems such as offline and online storage, batch, and stream processing frameworks, providing reliable infrastructure for massive data and large-scale business systems.

Qualifications

What you should have:

- Bachelor's Degree or above, majoring in Computer Science, or related fields, with 3+ years of experience building scalable systems;

- Proficiency in common big data processing systems like Spark/Flink at the source code level is required, with a preference for experience in customizing or extending these systems;

- A deep understanding of the source code of at least one data lake technology, such as Hudi, Iceberg, or DeltaLake, is highly valuable and should be prominently showcased in your resume, especially if you have practical implementation or customisation experience;

- Knowledge of HDFS principles is expected, and familiarity with columnar storage formats like Parquet/ORC is an additional advantage;

- Prior experience in data warehousing modeling;

- Proficiency in programming languages such as Java, C++, and Scala is essential, along with strong coding skills and the ability to troubleshoot effectively;

- Experience with other big data systems/frameworks like Hive, HBase, or Kudu is a plus;

- A willingness to tackle challenging problems without clear solutions, a strong enthusiasm for learning new technologies, and prior experience in managing large-scale data (in the petabyte range) are all advantageous qualities.

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.

❗️Our company is expanding and we want YOU❗️

We are a bunch of dynamic individuals who works towards being the Leader in the Events Marketing Industry

We are looking for a dynamic and enthusiastic individuals to join our team. Being part in a multinational marketing company across Asia, we represent a vast of accredited brands worldwide. This is an excellent opportunity for someone passionate to gain hands-on experience in a fast-paced environment.

Your Responsibilities:
- Create awareness for clients' brands/products and services through face-to-face marketing.
- Drive clients' revenue growth, delivering profitable strategies.
- Develop team leadership skills to coach and drive standards.
- Coordinating operations and organization expansion plans.

Your Requirements:
- Driven and hardworking individuals.
- Ability to work in a team.
- A high desire for self-development.
- Having a great learning attitude and mentality.

Your Benefits:
- Coaching and 1-on-1 guidance provided along the way. Entry level welcome.
- Overseas exposure opportunities and international development workshops.
- Vibrant and collaborative team environment.
- Well structured career development/progression.

JOIN US NOW!

Looking for a stepping-stone to explore and excel in the events and marketing industry?

We are an outsourced events and marketing company that pride ourselves by working with the pace setters and leaders of various industries. As we are representing all the reputable clients, we have a proven coaching system to ensure all our people are well equipped with the right skills set to carry out campaigns for different projects.

Your rewards and benefits:

• Global and regional travel opportunities
• Performance based – Not based on seniority
• Fair and transparent advancement structure
• Progressive skill set and personal development program

We want you if you are:

• Humble and willing to learn
• Professional but not boring
• Love working in a team based environment
• Passionate in meeting new people

Do send in your application and resume to start your journey with us!

As part of our recruiting process, we would like to request all interested applicants to apply directly through TD's Careers Site at:

https://td.wd3.myworkdayjobs.com/en-US/TD_Bank_Careers/job/Senior-Manager--Data-Scientist_R_1374555-1

Job Description:

Provide technical leadership across the Analytics function supporting fraud and financial crimes with an enterprise mandate. Role generally provides deep technical knowledge and expertise in customer interactions and financial crimes (including Fraud and AML) to explain complex data analysis and drive insights in a compelling manner to support a growth mandate and inform strategic change.

KEY ACCOUNTABILITIES

• Provide deep technical leadership and expertise to support and define future direction in one or more specialized areas or lead strategic development efforts on new or emerging data science related projects
• Work closely with business owners to identify opportunities and serve as an ambassador for data science
• Play a lead role on cross functional teams of data scientists, data and IT engineers, and business process owners to build cutting edge analytic solutions
• Design and deliver enterprise analytic solutions to our customers
• Develop powerful business insights from customer behavioural data and signals using advanced machine learning techniques
• Build complex statistical models that learn from and scale to petabytes of data.
• Provide analytical thought leadership and staying current on developments in data exploration and the application of data science
• Provide thought leadership and/or broad industry knowledge across multiple business / functional areas or across the enterprise
• Apply industry / analytical expertise to provide innovative and sound solutions that increase business results and/or minimizes risk
• Identify new analytical trends / data needs and repeatable analytic solutions and works with stakeholders to generate hypothesis and create analytical models that help answer impactful business questions
• Accountable for creating and implementing processes and systems to extract knowledge or insights from data of various forms either structured or unstructured.
• Employ techniques and theories drawn on many fields within the broad areas of mathematics and statistics
• Be comfortable working through ambiguity and help make informed decisions
• Work in a highly interactive, team-oriented environment with Big Data developers and Visualization experts
• Act as a lead or top technical data scientist and work closely with senior leadership on significant data and analytics projects
• Support a positive work environment that promotes service to the business, quality, innovation, and teamwork; ensure timely communication of issues/ points of interest
• Develop creative and innovative data driven analytical solutions to optimize operational efficiencies and leverage synergies to support overall business strategies
• Work effectively as a team, supporting other members of the team in achieving business objectives and providing client services
• Participate in knowledge transfer within the team and other business units, including participation in cross-functional groups or committees (e.g., Data Councils)
• Deliver advanced analytical capabilities above and beyond existing methods
• Exceptionally lead and run analytical projects autonomously and create and effectively deliver analytical presentations for executive audiences/stakeholders
• Showcase advance level peer leadership, impact and influence partner, and may mentor / coach peers
• Extensive understanding of the business supported and the overall bank with deep expertise and highly specialized knowledge of analytical concepts and techniques
• Act as a key business partner, guide and collaborate with business leaders to prioritize and identify key business needs and provide impactful analytical insights

EXPERIENCE & EDUCATION

• Undergraduate degree or technical certificate
• 12+ years relevant experience
• 3+ years managing a team supporting advanced machine learning
• Advanced coding skills (python, pyspark preferred)

As part of our recruiting process, we would like to request all interested applicants to apply directly through TD's Careers Site at:

https://td.wd3.myworkdayjobs.com/en-US/TD_Bank_Careers/job/Manager--Data-Scientist_R_1374551

Job Description:

Provide technical leadership across the Analytics function supporting fraud and financial crimes with an enterprise mandate. Role generally provides deep technical knowledge and expertise in customer interactions and financial crimes (including Fraud and AML) to explain complex data analysis and drive insights in a compelling manner to support a growth mandate and inform strategic change.

KEY ACCOUNTABILITIES

• Provide deep technical leadership and expertise to support and define future direction in one or more specialized areas or lead strategic development efforts on new or emerging data science related projects
• Work closely with business owners to identify opportunities and serve as an ambassador for data science
• Play a lead role on cross functional teams of data scientists, data and IT engineers, and business process owners to build cutting edge analytic solutions
• Design and deliver enterprise analytic solutions to our customers
• Develop powerful business insights from customer behavioural data and signals using advanced machine learning techniques
• Build complex statistical models that learn from and scale to petabytes of data.
• Provide analytical thought leadership and staying current on developments in data exploration and the application of data science
• Provide thought leadership and/or broad industry knowledge across multiple business / functional areas or across the enterprise
• Apply industry / analytical expertise to provide innovative and sound solutions that increase business results and/or minimizes risk
• Identify new analytical trends / data needs and repeatable analytic solutions and works with stakeholders to generate hypothesis and create analytical models that help answer impactful business questions
• Accountable for creating and implementing processes and systems to extract knowledge or insights from data of various forms either structured or unstructured.
• Employ techniques and theories drawn on many fields within the broad areas of mathematics and statistics
• Be comfortable working through ambiguity and help make informed decisions
• Work in a highly interactive, team-oriented environment with Big Data developers and Visualization experts
• Act as a lead or top technical data scientist and work closely with senior leadership on significant data and analytics projects
• Support a positive work environment that promotes service to the business, quality, innovation, and teamwork; ensure timely communication of issues/ points of interest
• Develop creative and innovative data driven analytical solutions to optimize operational efficiencies and leverage synergies to support overall business strategies
• Work effectively as a team, supporting other members of the team in achieving business objectives and providing client services
• Participate in knowledge transfer within the team and other business units, including participation in cross-functional groups or committees (e.g., Data Councils)

BREADTH & DEPTH

• Deliver advanced analytical capabilities above and beyond existing methods
• Exceptionally lead and run analytical projects autonomously and create and effectively deliver analytical presentations for executive audiences/stakeholders
• Extensive understanding of the business supported and the overall bank with deep expertise and highly specialized knowledge of analytical concepts and techniques

EXPERIENCE & EDUCATION

• Undergraduate degree or technical certificate
• 8+ years of relevant experience
• Comfortable and experienced with advanced coding (Python, pyspark preferred)

Job Description & Requirements

We are seeking a Senior Data Engineer with 7+ years of experience in software development and expertise in Big Data technologies. The ideal candidate will work on designing, developing, and maintaining scalable data pipelines and analytics platforms to meet diverse business requirements.

Responsibilities:

Build and optimize large-scale data pipelines using Hadoop, Spark (Core, SQL, Streaming), and PySpark.

Manage and process structured and semi-structured data using Hive, Sqoop, Impala, and Kudu.

Develop and implement streaming data solutions with Apache Kafka.

Collaborate with cross-functional teams to understand technical requirements and implement data-driven solutions.

Perform data validation, quality checks, and recon reports to ensure high data accuracy.

Work on AWS services (S3, Glue, Athena) for cloud-based data workflows and analytics.

Translate legacy systems to open-source frameworks, leveraging technologies like Python and SQL.

Optimize performance and scalability for data processing and storage systems.

Utilize Java/J2EE, Hibernate, and Struts frameworks for backend application development.

Provide mentorship to team members and support in troubleshooting and debugging complex data issues.

Requirements:

Proficiency in Big Data ecosystems, Spark, Hadoop, and related technologies.

Strong experience with PySpark, data transformation, and aggregation techniques.

Hands-on with AWS services and cloud-native data pipelines.

Solid understanding of SQL, RDBMS, and data integration tools.

Expertise in Java/J2EE frameworks and application development.

Strong communication and problem-solving skills.

Principal data strategists at Thoughtworks are experienced consultants who work with clients to create winning data solutions that meet business goals. They play a pivotal role in developing modern data architecture approaches that directly address our clients' key business objectives. Their responsibilities span from conducting in-depth reviews of current data and technology strategy and coming up with targeted data strategy, guiding clients to unlock the full potential of data and providing high-level road-maps.

This role entails a mix of advisory responsibilities in data strategy and governance, as well as the commercial growth of the business. Being able to grow the Data and AI business in the region and develop compelling cross functional proposals using a mixture of consulting and technology services will be a necessity.

Job responsibilities

• You will be responsible for the commercial growth of the business within your region, collaborating with the business to meet personal revenue and growth targets.
• You will collaborate closely with clients to understand their business ecosystem and goals, and leverage this understanding to co-create data and technology strategies aligned with their objectives.
• You will help define a clear vision for the client enterprise to become data-driven and aligned with the overall business strategy.
• You will also consult on complex data programs, providing technical leadership and guidance as a data subject matter expert.
• You will lead and interact with clients across various domains, addressing a spectrum of challenging problems, and collaborate with sales to turn them into viable solutions.
• You will leverage your expertise to act as a translator between business, data and IT, and communicate data strategy to senior client stakeholders, including C-level.
• You will own the creation of end-to-end viable data solutions keeping in mind long-term impacts and overseeing program inceptions for new product development.
• You will be responsible for formulating data governance strategies addressing security, privacy and compliance requirements.
• You will enable capability building in data strategy and governance, growing the next generation of data strategists.
• You will create differentiated assets in data strategy and governance to take to market.
• You will represent Thoughtworks in various online and offline forums, including events and conferences.

Job qualifications

Technical skills

• You have extensive experience as a consultant, with a proven track record of creating data strategy and solutions that drive business value.
• You have solid experience with data platforms and technologies.
• You have experience in providing advisory and consultative guidance for clients and cross-delivery teams.
• You have experience in engaging with C-level stakeholders to influence and enable the operationalization of an enterprise-wide data strategy.
• You have demonstrated leadership abilities, with the capacity to lead technical teams and drive projects to successful completion.
• You are flexible and adaptable to work on a variety of projects, leveraging technical expertise and leadership skills to maximize impact.
• You have a track record of ensuring proper data governance policies, including data lineage, quality checks and classification.
• You are familiar with AI and ML use cases and landscapes to influence the build of the right solutions to harness insights from data.
• You have experience in building high-level solution frameworks, leveraging various paradigms such as data-as-a-product, federated governance, et al, where needed.
• You have experience with data governance, data security and data privacy supporting business requirements.
• You are able to identify new business opportunities and develop differentiated Go-To-Market strategies to grow the Data and AI client and revenue base in the SEA market.
• You are able to work alongside our cloud partners to bring an informed perspective to accelerate new client acquisitions.

Professional skills

• You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
• You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
• You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
• You coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
• You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
• Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.
• Ideate and work with marketing to develop go to market materials, campaigns and sales initiatives to increase brand awareness and drive revenue growth.

Role Purpose

The Construction Quality Data Clerk is assigned to Construction Yard, reports to Construction Quality Manager and is responsible for:

• Supporting and liaising with Construction Quality Manager for Quality KPI and tracking CQ documentation readiness,
• Database management (input, analysis and output) related to project CQ data,
• Contribute to the Construction Quality Department software developments,
• Coordinate project final documentation completion.

Education, Experience and Certification

• University degree or technical college diploma in Engineering or Data Analysis.
• Certification of auditor is beneficial while not mandatory.

Functional Competencies

• Experience in data analysis, with particular emphasis on database and deliverables, preferably with a Quality Control background but not mandatory,
• Strong knowledge in Excel and Power BI
• Experience in PIMS, Go-Tech, Hexagon, SQL Server, Access, VB.Net and C/C++ will be a plus
• Strong analytical and problem-solving skills.

Our client is actively searching for a Data Analyst/ Senior Data Analyst to join their team!
If you are a dynamic individual seeking a new career opportunity, read further!

You will be a member of the Department of Infectious Diseases, where you will provide support in the areas of data collection, management and analysis. Your main responsibility will be in supporting the ICU Multidisciplinary Infectious Diseases (IMI) service, Haematology-Infectious Diseases clinical service and other related services, where you will be responsible for collecting, organizing and analyzing relevant data.

It will involve the administration of current data management systems, as well as planning and developing new databases, as and when required. You should have the skills and ability to manage electronic information in multiple formats, and to process and analyze this data for reporting and presentation. Your work requires proficiency with databases, analytical and reporting tools, an ability to learn quantitative tools/software and methodologies, and use of presentation software and good communication skills. You will have the opportunity to be a part of multidisciplinary teams for a different range of projects including research, quality improvement and education. In addition, prior experience in healthcare settings is preferable.

The responsibilities of this role are:

• Manage existing databases, including extracting, cleaning, processing and analyzing data for routine and ad-hoc reports, and trouble-shooting of existing data systems
• Develop new and ad-hoc databases for clinical audits, surveillance programmes and research projects
• Develop a methodology and system for managing and extracting complex data from various databases or sources, which will require proficiency in logical data models and developing data dictionaries
• Produce documentation of new or existing systems and data-management support documents like standards, best practices, policies and procedures etc
• Conduct presentations describing data structures, data analysis methods, and results of data analysis
• Preparation of quarterly to annual reports related to IMI service or other related services
• Support other related research activities as directed by Head of IMI service
• Be a member of multidisciplinary teams which may involve ICU physicians or other specialty physicians, ID physicians, microbiologists, pharmacists
• Perform general administrative duties as required
• Participate actively as a team member in quality improvement projects at hospital-wide and departmental levels
• Work beyond routine work responsibilities, in the exigencies of services e.g. during infectious disease outbreaks
• Carry out any other duties or responsibilities assigned by the Supervisor and/or the Head of Department
• Applicants must have high integrity, a strong commitment to maintaining patient data confidentiality, be eager to learn and be proactive in contributing to the team

The ideal candidate will need to have the following qualities and experience:

• Minimum Bachelor's degree in Computer Engineering, Software Engineering or equivalent with at least two (2) years of experience.
• Proficient in programming languages such as Python (e.g., Flask, Django), R (e.g., Shiny), SQL.
• Experience in managing AI/ML products is highly desirable.
• Experience in SharePoint, Excel (Visual Basic), HTML, XML, Java preferred.
• Knowledge in Data anonymization, de-identification and re-identification process and techniques is preferred.
• Possess skills in statistical modeling and machine learning with experience in data storage, processing, analytics and distribution software and platforms.
• Strong communication/people skills required to interact with data scientists, engineers, business end-users and vendors to design and develop solutions.
• Ability to write clear documentation of procedures, and ability to write specifications for data models to be developed.
• Participate actively as a team member in organizational development and quality improvement.
• Be a change agent and inculcate mindset for change for hospital-wide and departmental- level.
• Able to work beyond routine work responsibilities and office hours, in the exigencies of services e.g., during infectious disease outbreaks.

CTES Consulting PTE LTD

EA License No.: 07C3481

EA Personnel Registration No.: R1104237 (Jaclyn Tan)

An exciting career awaits the right candidate! Click "Quick Apply" to register your interest now.

All applicants' CV will be treated with the strictest confidentiality. We regret to inform that only shortlisted candidates will be contacted.

Aon is in the business of better decisions

At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed.

What the day will look like

As the Head of Data & Analytics APAC, you will manage a team to deliver Data & Analytic capabilities to the Aon business. You will lead, develop and maintain the data and analytics strategy for the region working to enhance efficiency, execution and colleague experience. Working as part of a global function, this role involves building stakeholder relationships, driving a modernisation of data analytic tools, as well as driving the development, implementation and promotion of data governance and quality frameworks and strategies.

Stakeholder Relationships

• Collaborate with senior stakeholders to align analytics initiatives with business objectives and requests and work closely to achieve delivery of quality outputs
• Supervise team performance, development, and task delegation

Data Governance

• Work with business teams to understand & define their key data needs to support analytics and operational delivery for clients
• Work with Aon’s Central Data Office to develop, implement, and maintain data governance policies, procedures, and standards in alignment with industry practices and regulatory requirements
• Support with establishing the framework and operating model that enables effective data governance & management locally in the region
• Collaborate with multi-functional teams to define data governance roles and responsibilities and promote a culture of data stewardship and accountability
• Help to identify and assign data stewards within the region
• Supervise the data steward & business/data analyst activities, provide guidance/support
• Establish and implement data quality standards, critical metrics and processes to ensure accuracy, completeness, and consistency of data across all systems and platforms
• Report progress on data cleaning / data quality activities
• Support regional and global MDM activities and outcome/critical metric delivery
• Prioritize and coordinate data governance & management initiatives within region helping provide the vital resources to carry them out
• Participate in global and regional data governance forums

Analytics and Operational Reporting Delivery

• Drive the automation and self-service approach for operational reporting
• Providing data quality analysis of issues to stakeholders
• Lead analytics projects and generate actionable insights through advanced analytics, data modeling, and segmentation. Your work will optimize business outcomes and drive critical initiatives.
• Driving data integrity and reporting quality

Data Operations

• Ensure key data operation tasks are maintained to ensure business continuity
• Collaborate with other teams to leverage capabilities and respond to organizational needs.

Skills and Experience that will lead to success

• Experience in BI, analytics, data analytics with at least 3 years in a leadership role
• Experience within finance / insurance preferred.
• Experience working in a large, complex environment, with a range of stakeholders, across multiple business units
• Background in data-related field: data analysis and visualisation, data quality, data warehousing, data engineering, financial reporting.
• Strong affinity with, and interest in new trends in AI & Data (including Data Governance and quality)
• Superb communication skills with the ability to simplify complex information optimally
• Expertise with relational databases, warehousing and lake-house technology - SQL Server, Oracle, Databricks, Snowflake, Azure Blob Storage / AWS S3.
• Extensive understanding of data management. Including awareness of the security, privacy, ethics and quality requirements for data, and data analysis techniques.
• Experience in logical and physical data model design and broader data architecture design.
• Prior development experience in some of SQL, python for data processing, PowerBI, Qlik.
• Experience in technical accounting solutions for insurance policy management, or in financial systems such as Workday Accounting, Oracle TM1 etc. a plus.
• Bachelor degree or equivalent in IT-related field.

How we support our colleagues

In addition to our comprehensive benefits package, we encourage a diverse workforce. Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two “Global Wellbeing Days” each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions, but we also recognise that flexibility goes beyond just the place of work... and we are all for it. We call this Smart Working!

Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued.

We provide individuals with disabilities reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment in accordance with applicable law. Please contact us to request an accommodation on [email protected]

Aon values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.

About Bytedance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

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

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

Join us.

About the Team

The mission of our AML team is to push next-generation machine learning algorithms and platform for the recommendation system, ads ranking and search ranking in our company. We also drive substantial impact for core businesses of the company.

- Build an effective toolchain to improve development performance;

- Introduce new AI technologies to our online system, support billions of users all over the world;

- Improve the reliability of the system, manage the challenges of scale and complexity;

- Squeeze extreme performance from hardware and handle huge amount of requests;

- Research, design, and develop computer and network software or specialised utility programs;

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis;

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures;

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements;

Qualifications

- Bachelor's degree or above, majoring in Computer Science, Engineering or related fields.

- Strong programming and coding experience with at least one modern language such as C/C++, Golang, Python

- Experience contributing to the large scale distributed systems, multi-tenant systems (architecture, reliability and scaling)

- Strong analytical abilities and problem solving

- Good communication, self-motivation, engineering practice, documentation, etc.

- At least 3 years of relevant experience.

Preferred Qualifications

- Familiar with large-scale distributed systems like Spark and Elasticsearch;

- Familiar with the web technologies, such as Django / Flask / React.JS etc.

Bytedance 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 Bytedance, 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.

about company

I am currently working with a global IoT leader with strategic investments from Temasek Holdings. They deliver cutting-edge, sustainable IoT and AI technologies that power smart cities and industries worldwide.

Salary structure: Base + AWS. 3 rounds of interview to offer stage. 5 days in office at CBD.

about job

You are responsible for analyzing energy consumption data and developing automated solutions that enhance energy efficiency and sustainability. This role combines data analysis with AI-driven automation to identify patterns, predict energy needs, and implement proactive optimization measures. The ideal candidate will leverage advanced analytics, machine learning, and automation techniques to support organizational goals around energy conservation and cost savings. Gather and process large datasets from energy monitoring systems, IoT sensors, and other sources to create a comprehensive view of energy consumption.

skills and requirements

• Bachelor’s degree in Data Science, Computer Science, Engineering, Environmental Science, or a related field.

• Min 3 years of experience in energy data analysis, with a focus on AI and machine learning applications.

• Proficiency in Python, R, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch).

• Knowledge of energy management principles, IoT data sources, and smart grid technology.

• Strong analytical skills with a proven ability to apply AI to complex energy datasets.

• Design, implement, and optimize machine learning models to predict energy demand, forecast costs, and identify anomalies in energy usage.

• Develop AI-powered algorithms for automated energy control and real-time optimization based on consumption trends and environmental data.

• Chinese speaking required as you need to liaise with Chinese stakeholders who can only speak and write in Chinese

To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)

Meta seeks a highly motivated, well-organized, team player to join our Privacy policy team in the APAC region. The position will lead the Privacy Policy team work on strategic engagement and outreach with privacy, AI and data protection policy stakeholders in APAC.

The ideal candidate has a strong background in privacy and data protection, with a strong grasp on the privacy and AI developments in the key countries in the region. The candidate should also have deep knowledge of and relationships with regulators, key advocacy groups, policymakers, academics, and researchers in the region. The candidate should have excellent analytical skills and be a strong writer, with experience in developing materials for internal audiences as well as privacy regulators, policymakers and other relevant stakeholders. The candidate should also have a proven record of managing high-perfoming teams and interacting with senior management of a large organization. Finally, the candidate should be comfortable working in a fast-paced, cross-functional work environment and presenting to internal and external audiences. This is a great opportunity to work on novel privacy policy issues in an exciting environment.

Responsibilities

• Managing a team of privacy policy experts in the region.
• Lead engagement activities in the APAC region, working closely with the APAC policy teams, and presenting on behalf of Meta regarding privacy and AI issues, including in external meetings and conferences.
• Assess policy impact of legislative and regulatory proposals concerning privacy, Ai, data protection, data security and other related technology issues.
• Work with cross-functional teams to develop and articulate the company's positions on key privacy and data protection issues in the form of internal briefing documents , position papers, and related documents.
• Lead the design and execution of high impact privacy policy and AI strategies and programmatic initiatives in the region.

Minimum Qualifications

• 12+ years experience working on data protection and privacy legal and policy issues in a privacy regulator, law firm, company, non-profit or similar organization
• Bachelor's degree.
• Knowledge of regional privacy policy and legislative frameworks (including AI).
• Experience managing complex cross-functional projects and prioritizing multiple simultaneous projects.
• 5+ years Experience managing a team.
• Proven track record in engaging with privacy experts from civil society, academia, and government.
• Experience working directly with senior business executives and/or high-ranking government officials.
• Effective communication skills and collaborative work ethic.

Preferred Qualifications

• JD or Master’s degree or equivalent in relevant subject.
• Experience advising on or building consumer technology products and services
• Fluent in key regional languages.

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Within data management office, we govern the use of data across the Group and provide guidance for data management and usage. This optimises the value of data to enable smarter, faster, and more accurate decision-making as well as improve operational efficiency. Above all, we ensure adherence to all data governance standards as determined by regulators.

In analytics transformation office, we help accelerate data monetization initiatives by empowering analytics transformation for the bank.

Job Responsibilities

This role reports to the Head of Data Discovery within the Enterprise Data Management (EDM) Team. Key responsibilities are:

· Project Planning and Tracking: represent Enterprise Data Management and work with the stakeholders to develop and manage project pipeline, project plan, ensuring that business objectives, timelines and milestones are met. Also ensure relevant project management artefacts and documentations are generated.

· Stakeholder Communication: facilitate effective communication among stakeholders, including business users, IT teams, and executives, to provide regular updates on project progress and address any concerns

· Risk Management: Identify potential risks and proactively develop mitigation strategies in collaborations with the project team to minimize disruptions and delays

· Change Management: Develop and execute change management strategies to promote user adoption. Be an agent of change and incubate data monetization culture and agile development methodology across the Bank’s business as well as stakeholders within DMO and the business

· Inquisitive: proactively understand overall business objective for data monetization initiatives as well as the end-to-end data landscape including systems, business process and data flows to support data monetization initiatives

Job Requirements

· Degree holder with 3 to 6 years of relevant working experience, with 2 years spent with Product, Analytics or Artificial/noBusiness Intelligence functions

· Experience in meeting facilitation and preparation of meeting notes

· Demonstrated ability to meet milestones, tight deadlines and communicate effectively on concurrent projects

· Hands on and creative problem-solving skills; project and time management skills

· Willingness to learn new technology and work in creating template, documents and increase efficiency of the department

· Knowledge of big data ecosystems (e.g. Hue, Hive, Impala), SQL, data warehousing, and data modelling a strong plus

· Good IT Skills, MS Suite including Sharepoint

· Inquisitive, pro-active in seeking solutions

Position: Operations Analyst (Banking)
Contract: 12 months
Location: Jurong East
Salary: $3,200 - $3,700

Essential Job Functions:

1. Provide end-to-end OTC transaction life-cycle reporting support for T&M derivatives products to fulfill regulatory reporting obligations.
2. Ensure data accuracy and timely reporting.
3. Ensure risk control, risk architecture, and completeness are adhered to.
4. Be data-driven, build, and measure TMO performance service, quality, and data analysis via DDOM (Data Driven Operating Model) Dashboards.
5. Review legacy processes and exception handling to eliminate inefficiencies and promote changes in behavior across FO & L&C.

Trade Repository (TR) Reporting:

1. Validate daily TR reports for House and/or Client Delegation.
2. Investigate discrepancies and perform root cause analysis.
3. Monitor report acknowledgment and investigate any rejected trades.
4. Review successfully submitted reports and ensure EOD completeness.
5. Engage in the development of TR Reporting (new, revised, and updated).
6. Stay up-to-date with regulatory updates.
7. Support NPA (New Product Agreement) & Lite (inclusive of PIR), review all NPAs related to TR, identify any deviations for execution, and monitor until launch and sign-offs.
8. Support delegate reporting for CFTC end-to-end, from issuing of SLA to tagging of systems and ensuring reporting obligations are met.

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