Working Location: Central

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

Your role:

• Interact with community members and customers in a professional, personable, and timely manner to grow and keep the community alive
• Work with the marketing, creative, and customer experience team to create high quality, engaging, relevant, and timely content
• Foster and strengthen new relationships with key influencers within the community
• Deploy social listening tools to monitor positive/negative comments and topic trends, and strive to boost engagement and resolve any potential conflicts that may affect brand reputation
• Generate comprehensive reports on overall community sentiment and notable trends and provide meaningful feedback

Requirements

• Minimum Diploma and above
• Prior experience in the marketing field will be an advantage
• Results-oriented, ambitious and positive working attitude

EA Reg Number: R2094147

EA License Number: 22C1278

Working Location: Central

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

Your role:

• Creating a project schedule;
• Streamlining processes so that project can meet deadlines;
• Communicating with other departments regarding project schedules and any possible changes;
• Using computer technology relating to enterprise resource planning (ERP).

Requirements

• Minimum Diploma and above
• Prior experience in the marketing field will be an advantage
• Results-oriented, ambitious and positive working attitude

EA Reg Number: R2094147

EA License Number: 22C1278

Working Location: Central

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

Your role:

• Event planning, design and production while managing all project delivery elements within time limits
• Liaise with clients to identify their needs and to ensure customer satisfaction
• Conduct market research, gather information and negotiate contracts prior to closing any deals
• Provide feedback and periodic reports to stakeholders
• Propose ideas to improve provided services and event quality
• Organize facilities and manage all event’s details such as decor, catering, entertainment, transportation, location, invitee list, special guests, equipment, promotional material etc

Requirements

• Minimum Diploma and above
• Prior experience in the marketing field will be an advantage
• Results-oriented, ambitious and positive working attitude

EA Reg Number: R2094147

EA License Number: 22C1278

Working Location: Central

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

Your role:

• Manage daily administrative tasks to ensure the marketing department runs smoothly
• Conduct market research to identify new opportunities
• Create reports on marketing and sales metrics, like conversion rates
• Assist with organizing promotional events
• Coordinate with the marketing design and content teams to create advertising material (e.g., brochures and newsletters)
• Prepare regular sales forecasting reports
• Monitor competitors’ marketing activities

Requirements

• Minimum Diploma and above
• Prior experience in the marketing field will be an advantage
• Results-oriented, ambitious and positive working attitude

EA Reg Number: R2094147

EA License Number: 22C1278

Working Location: Central

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

Your role:

• Event planning, design and production while managing all project delivery elements within time limits
• Liaise with clients to identify their needs and to ensure customer satisfaction
• Conduct market research, gather information and negotiate contracts prior to closing any deals
• Provide feedback and periodic reports to stakeholders
• Propose ideas to improve provided services and event quality
• Organize facilities and manage all event’s details such as decor, catering, entertainment, transportation, location, invitee list, special guests, equipment, promotional material etc

Requirements

• Minimum Diploma and above
• Prior experience in the marketing field will be an advantage
• Results-oriented, ambitious and positive working attitude

EA Reg Number: R2094147

EA License Number: 22C1278

Working Location: Central

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

Your role:

• Liaise with other managers to determine staffing requirements
• Use internal and external systems to advertise job vacancies as appropriate
• Ensure compliance with employment and data protection related legal requirements
• Assist other managers to process job applications and respond to queries
• Organize and take part in interview procedures as required
• Develop and keep up to date policies relating to employment and other human resources issues

Requirements

• Minimum Diploma and above
• Prior experience in the marketing field will be an advantage
• Results-oriented, ambitious and positive working attitude

EA Reg Number: R2094147

EA License Number: 22C1278

Working Location: Central

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

Your role:

• Developing policies and strategies for acquiring new talent
• Analyzing the company’s hiring and talent needs to anticipate hiring
• Using various channels to source candidates
• Working with hiring managers to anticipate needs and fill positions
• Managing the screening process, including resume screening and interviewing
• Building relationships with applicants and past employees
• Researching talent acquisition trends to improve the process
• Representing the organization at job fairs and recruiting events

Requirements

• Minimum Diploma and above
• Prior experience in the marketing field will be an advantage
• Results-oriented, ambitious and positive working attitude

EA Reg Number: R2094147

EA License Number: 22C1278

Working Location: Central

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

Your role:

• Develop and execute social media strategies to increase brand awareness and engagement
• Create and curate engaging content for multiple social media platforms.
• Monitor social media channels for trends and opportunities.
• Analyze social media performance and provide regular reports and insights.
• Collaborate with marketing and sales teams to ensure alignment of social media strategies with overall business goals
• Stay up to date with the latest social media trends and best practices

Requirements

• Minimum Diploma and above
• Prior experience in the marketing field will be an advantage
• Results-oriented, ambitious and positive working attitude

EA Reg Number: R2094147

EA License Number: 22C1278

• Candidate with no experience is welcome
• Passionate about gaming industry
• Japanese MNC

Responsibilities

• Coordinate global game tournaments from inception to conclusion.
• Propose and implement creative enhancements to enhance publicity and engagement for diverse events.
• Oversee shop tournaments and handle PR materials for events.
• Manage event budgets, expenses, and negotiate favorable rates.
• Support various events, including mobile gaming.
• Collaborate with internal and external stakeholders for seamless event execution.

Requirements:

• Candidate must possess at least Diploma in Marketing
• Candidates with 3 years of relevant working experience would be considered as
• Excellent communication skills in English, both written and oral
• Must have basic knowledge of social media management

If you are interested, kindly apply through mycareersfuture.

I regret to share that only shortlisted candidates will be notified.

www.dadaconsultants.com

EA Registration Number: R21100604

Data provided is for recruitment purposes only

Business Registration Number: 201735941W.

Licence Number: 18S9037

Main responsibilities

• Able to lead in terms of technology and conceptualize, propose design and architectural evolution.
• Contributing to development of high quality fully tested source code complying with deadlines, schedule and coding standards.
• Liaise with business analysts for clarification and understanding of requirements.
• Organize and keep up to date detailed technical documentation
• Develop tests strategy in coordination with project manager / Business Analysts
• Provide technical assistance during user acceptance test
• Support applications in production - analyze and resolve issues as they arise as well as propose optimizations for future.

Qualifications and Profile

The successful candidate will definitely have:

• At least 6 years of software development experience
• At least 5 years’ experience working with Java.
• Strong knowledge on various design patterns
• A strong understanding of recent Java language features, such as lambdas, streams, and futures
• Good knowledge of algorithms and data structures, with strong fundamentals in complexity analysis
• Strong ability to analyze code – understand execution flow & debug even without access to a debugger
• Experience with Maven, Git, writing and maintaining integration tests
• Strong familiarity with Linux and bash
• Good knowledge of SQL or an SQL-inspired dialect such as HQL
• Experience in cloud native architecture.

An ideal candidate will also have expertise in some or all of the following:

• Jenkins and Ansible with exposure to devops culture
• Jira or a similar issue-tracking system
• The Spring framework and IoC, and particularly Spring Boot and Swagger for restful web services
• Messaging technology such as kafka, MQ

Additionally, knowledge of the following would be helpful although it is not required:

• Web development fundamentals (HTML, Javascript, jQuery, ReactJS, etc)
• Docker/Kubernetes, Microservices
• ElasticSearch
• General knowledge and understanding of investment banking domain, capital market FO/BO environment is an advantage
• Understanding or interest in finance & financial markets, particularly interest rate derivatives in their many forms (Forwards, Futures, Swaps, Swaptions, etc)

Other Professional Skills and Mindset

• Excellent written and verbal communication skills for both team mates and management
• Strong analytical and problem solving skills
• Proficient software development life cycle
• Appetite to follow technology trend and participate to communities
• Passion for sharing expertise and grow team members’s skills
• Interest in mentoring and guiding junior team members on the path of high quality deliverables.

Education Requirements

At least a Bachelor’s degree in any of these faculties:

• Computer Science
• Information Technology
• Programming & Systems Analysis
• Science (Computer Studies)

Job Scope

EDMS (Electronic Document Management System): (Main Mission)

a. Link EDMS to SAP functional locations

b. Uploading manually technical documentation on Hard drive to SharePoint EDMS

c. Improve the searching function in EDMS for vendor data books & test reports, by splitting the documents into smaller pieces.

Requirements

• 'A' level / Poly undergraduate / University undergraduate / 'O' level with 5 years of admin experience
• Proficient in excel.
• Good in Microsoft 365 environment (excel, sharepoint, Teams) is an added advantage
• Good communication skills
• Knoweldge of SAP is advantageous

PRODUCT AREA

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

JOB DESCRIPTION

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

ADDITIONAL JOB DESCRIPTION

In this role, you will exercise domain expertise and drive engagements with both internal and external audiences. You will stay up-to-date on technology in analytics space, and make things happen through influence, passion and willingness to harness customer business opportunities, and deliver complex data analytics solutions.

Qualifications

JOB RESPONSIBILITIES

• Partner with the Data Analytics Specialists Leaders (i.e., Sales and Customer Engineering), Product Leaders and Executive Leadership to ensure solutions alignment with engineering, product priorities, and Go-To-Market (GTM) priorities.
• Work with Customer Engineering Leadership to develop and motivate a team of engineers spanning across APAC specialists in the areas of focus and assist in the delivery of published materials aligned to the specific specialist focus area, supporting Google Cloud solutions and use cases.
• Reflect the APAC customers, partners and field to influence a data-driven goal and direction for technology, solutions and use case development at Google Cloud.
• Travel up to 30% of the time as needed.

MINIMUM QUALIFICATIONS

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 6 years of experience in a customer-facing role in the enterprise space, translating customer business needs into cloud centric solutions in the field of data analytics and big data.
• Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (e.g., ETL/ELT), data migrations, data visualization tools and data governance on cloud native architectures.

PREFERRED QUALIFICATIONS

• Understanding of Data Analytics and the business issues in adopting Data Analytics solutions.
• Ability to collaborate across organizational boundaries, build relationships, and import and export talent and ideas to achieve a broader organizational goal.
• Ability to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space.
• Excellent presentation skills, with the ability to deliver a professional business and technical pitch to the C-level and Board levels.

Life at Grab

At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.

Get to know our Team:

Grab’s Fulfilment-Dispatch Data Science team works on challenging and fascinating problems surrounding Grab’s allocation capabilities — ensuring our passengers, driver-partners, consumers and merchants enjoy a reliable fulfilment experience.

Allocation is simply this question: “Given a new booking request, which driver-partner is the best match for this booking, accounting for all other pending bookings now, and all potential bookings and driver-partner movements in the future?” Efficiently solving this problem requires working on domains and techniques such as statistical/machine/deep-learning-based prediction, optimization, simulation, graph theory, offline and online learning of contextual parameters, and geospatial data mining. We apply these techniques on our high-volume high-velocity datasets to drive optimal business outcomes.

We foster a culture where we enjoy raising the bar constantly for ourselves and others, and that strongly supports the freedom to explore and innovate. We are looking for candidates who are excited to work on challenging problems, who can apply their breadth and depth of knowledge to design innovative solutions, and who push boundaries in improving the growing suite of allocation-related services for our users.

Get to know the role:

• Design creative scalable allocation methods that adapt to changing market conditions
• Understand business needs, identify areas for investigation, translate them to technical problems to be solved
• Build, deploy and own production-grade models and services as they serve millions of requests every day
• Iterate on existing allocation features to drive continual improvement

The day-to-day activities:

• Research, analyze high-volume high-velocity data, build quick prototypes, and engineer them into production
• Design data pipelines and conduct experiments to measure the impact of your work
• Effectively communicate results and their implications to business/product stakeholders

The must haves:

• PhD or Master’s degree in Computer Science, Electrical/Computer Engineering, Industrial & Systems Engineering, Operations Research, Mathematics/Statistics, Transportation Engineering, or related technical disciplines with 3+ years of DS work at a technology company; or equivalent experience
• Strong Machine Learning fundamentals:

1. Understanding of machine learning algorithms and their ecosystem (data, model persistence, tooling, development lifecycle)
2. Experience in developing production-grade ML systems including exploratory analysis, feature engineering, developing data pipelines, observability and maintenance etc.

• Strong aptitude in statistics and large-scale data analytics:

1. Understanding of probability and statistics (e.g. hypothesis testing, modeling distributions / regressions, Bayesian statistics etc)
2. Experienced in running live experiments (A/B tests, randomized controlled trials) and analyzing their results
3. Experienced with relational databases, SQL, and distributed computing frameworks (Spark, Kafka stream processing)

• Strong software development skills:

1. Proficient in Python. Skill in Golang, Scala or Rust is an advantage.
2. Familiar with Git-based source control, code reviews, test-driven development, cloud-based development (AWS/Azure)

• Self-motivated, independent learner, and willing to share knowledge with the team
• Detail-oriented and efficient time manager in a dynamic working environment
• Able to communicate well in English both verbally and in written communication, as well as convey data insights and results with effective visualizations.

Nice to have:

• Experience in working with geospatial/mobility/logistics data
• Experience in designing probabilistic models at scale in production
• Familiar with modern data pipeline and warehousing stacks (e.g. Hive, Pinot, Airflow, Presto/Trino etc)
• Expertise in any of these specialized domains: graph theory/processing, optimization of stochastic problems, agent-based simulation, adaptive control, reinforcement learning
• Experience with designing, deploying and maintaining microservices (e.g. on Docker / Kubernetes) to serve production models is a big plus

Our Commitment

We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.

About Us:

Founded by Temasek & UST, Temus is a start-up on a mission to empower Singapore’s Smart Nation and enhance the lives of citizens.

Our services span from strategic advisory through to digital, data and AI delivery. We work across a wide variety of use cases from financial services, sustainability and environmental science to research, health and public sector. Our focus is on harnessing disruptive innovation to unlock economic and social value enabled by technology.

We are growing quickly, and we are recruiting strong and highly motivated people to join us on this mission.

Role Summary:

Join our international team of Data & AI consultants, working to build data platform to enable real-time operational systems, analytical systems and AI/ML systems. You will be working on one of our customer projects, working with the customer stakeholders to drive the best outcome using smart solutions and techniques. You will be working with wide range of existing & cutting-edge technologies to achieve this. We expect you to be active thinker, designer and implementer to make sure we collective build the best solutions possible.

Key Roles & Responsibilities:

Key Responsibilities:

• Design Data & AI Platforms: Use your experience and best practices to adapt to the customers and requirements needs.
• Data Pipeline Development: Design, construct, and maintain efficient and reliable data pipelines to support data analysis & AI using Python/R and tools like Docker and Jupyter Notebook.
• Container-based serviced development and Management: Utilize container tech (e.g., Kubernetes, OpenShift) to deploy and manage scalable, highly available data & ai infrastructure that supports genomic data processing and analysis.
• Collaboration and Innovation: Work closely with bioinformaticians, genomic scientists, and other stakeholders to understand data needs and deliver innovative data engineering solutions.
• Platform observability and maintenance design: Apply knowledge and experience in monitoring, logging, alerting, SRE (Servicer Reliability Engineering) to ensure platforms fulfilling the stakeholder expectations including proactive issue resolution.
• Continuous Learning and Improvement: Stay abreast of the latest developments in data engineering, & AI, SRE and related fields to improve data handling and pipeline efficiency continually.

Qualifications:

• Minimum 4 years of Proven experience in data engineering, designing, building and operationalizing data solutions and applications (with batch or streaming data)
• At least 2 years of experience with container technology platforms (Kubernetes, OpenShift …)
• At least 1 year experience with Cloudera or Teradata (for data extraction only)
• At least 2 years of experience in high regulatory environments like fintech
• Proficient in at least one core language: Python, Java, (Perl)
• Knowledge of Kafka for data streaming (producer, topics and consumers)
• Excellent understanding on SQL data storage structures and storage/query optimizations
• Mastered SQL querying to build any data presentations using joins, reference tables, groupings, statistics etc.
• Exposure to SRE (Servicer Reliability Engineering) teams or practices
• Exposure to concepts like Serverless computing, CI/CD, Containerization, Infrastructure as Code, code version control and automated testing

Nice to Have:

• Exposure to Jupyter Notebooks
• Exposure to JFrog Artifactory
• Experience in Spark
• Hands on experience on AI/ML projects

Further on soft skills:

• Strong ability to communicate with a broad range of clients, colleagues, and partners across a variety of contexts and formats.
• Strong ability to develop and maintain relationships amongst clients, colleagues, and partners
• Show active tracks of improving knowledge and skills (e.g. courses, podcasts, books, experimentation, open-source volunteering, tech meetups etc.)
• Ability to work independently with minimal guidance
• Ability to work as part of a large team
• Ability to work within an unstructured environment with ability to multitask well

Equal Opportunities

Temus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, partnership status, sexual orientation, or gender identity.

We see the diversity of our team as a strategic advantage, and we work actively to maintain it.

By applying for this role, you have read and acknowledge the data privacy statement via this link - temus.com/job-applicant-data-protection/

As a member of #TeamPSA, you will be part of a diverse and global team at the forefront of creating cargo solutions to enable more agile, resilient and sustainable supply chains. Experience first-hand and drive supply chain transformation from Singapore and through PSA’s global network of ports, logistics and supply chain solutions. Alongside, we can move the world!

• Develop Your Potential: We emphasise and offer exciting rotations, learning and development opportunities, which will fuel your career aspirations and complement your business exposure across our global network.
• Diverse, Equal Opportunity: We build a sustainable work culture where all our people feel welcome, valued, respected and able to express their ideas and beliefs freely. We believe that diversity of thought and approaches in our workplace makes us stronger as a team.
• Competitive Compensation & Benefits: We are committed to recognising and rewarding your contributions to the business. Our benefits packages aim to improve your quality of life by providing support for medical, dental, recreation, among others.

You will be engaged as a Data Engineer in PSA Group Data For Excellence (DFE), supporting PSA’s Data Analytics initiatives and PSA Global Data Analytics Platform (GDAP). Besides creating and maintaining data pipelines, data models; enhancing GDAP features; you will work with other DFE members to promote data culture and data analytics competency within PSA.

Job Description:

• Work with PSA business units globally to set up their data analytics needs within GDAP
• Enable the timely availability of good quality data to facilitate data oriented management decisions
• Work with new data sources from around the world to provide data to our Global Data Analytics Platform built on Azure Cloud
• Implement automated Data Quality measures to sieve out bad quality data for timely rectifications by data sources
• Design, construct and maintain Datawarehouse models to support PSA global, regional and local business units data analytics needs
• Create and maintain data pipelines to transform and load data from data lake into Datawarehouse models
• Create and maintain data science sandbox, machine learning tools, Databricks, data marts, data catalogue, data lineage, etc
• Continuous enhancement of GDAP to keep the platform relevant and ready
• Work and collaborate with PSA data analytics team at all stages of CRISP-DM Methodology
• Align to PSA data analytics policy, standards and best practices and document as required
• Jointly organize data analytics workshops and data seminars to promote data culture and data analytics competency within PSA

Technical Requirements:

• Degree from a recognised university, preferably in Data Analytics or Computer Science domain;
• Must have hands-on experience as a Data Engineer using Microsoft data tools;
• Must have knowledge of data warehouse concept (Star, snowflake or data vault) methodology and experience in designing data warehouse dimensional modelling;
• Must have hands-on experience in Azure Data Factory, Azure Synapse Analytics / Datawarehouse and Azure Analysis Services;
• Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate;
• Knowledge of Microsoft Power App, Azure Databricks, Azure HDInsight or Power BI or Microsoft MDS or R or .Net or C# or NoSQL or open source data analytics software will be advantageous.
• Fresh local graduate with relevant skillsets and hands-on experience will be considered.

Soft Skills Requirements:

• Analytical, meticulous, team player;
• Strong written and oral communication skills in English. Ability to communicate in additional languages is added advantage;
• Strong interpersonal skills to liaise effectively with users and stakeholders; overcoming challenges of language, cultural and time zones;
• Ability to work under pressure towards fixed deadlines without jeopardizing standard of work.

Who we are

Crédit Agricole Corporate and Investment Banking (Crédit Agricole CIB) is the corporate and investment banking arm of Crédit Agricole Group, world’s 10th largest bank by total assets.

Our Singapore center (“ISAP” or “Information Systems Asia Pacific”) is the 2nd largest IT setup (after Paris Head Office) for Crédit Agricole CIB's worldwide business. We work daily with international branches located in 30 markets by:

· Envisioning and preparing the Bank’s futures information systems

· Partnering and supporting core banking flagships and transverse areas in their large scale development projects

· Providing premium In-house Banking applications

This unique positioning empowers us to bring our core banking business a sustainable competitive advantage on the market.

We seek innovative and agile people sharing our mindset to support ambitious and forthcoming technological challenges.

Position

Data Security Expert- Data Security and Endpoint Security

Data Security Expert is a technical expert role within the Data Security Services team and will be responsible for managing, administration and supporting the Data Security and Endpoint Security technologies for the bank.

Person will be the technical point of contact for the Run team and the related activities to data security and will be the last level of escalation for the Security specialists in the team. He/She is also responsible for the technical transition and validation of Security services from other regions to Singapore. He/She will be involved in projects and POC’s that may involve security services. He/She works with continuous improvement principles. He/She is equivalent to the Subject Matter Expert on the technologies within data security.

Data Security Services team in Singapore is responsible for day-to-day operational services on the infrastructure of Europe (mainly France and UK) and Asia remotely from Singapore. France infrastructure represents approximately 80% of the worldwide production activities of CA-CIB in Singapore.

Team works in Europe time zones and this role will be aligned primarily to Paris working hours. Flexible rotations are followed based on the nature of duties.

The operational support of the team covers the following technical scope:

• Endpoint Security technologies – Anti-virus management, Host Intrusion Prevention System etc.
• Data Leak Prevention systems. - Email Prevent, Web Prevent, Endpoint Protect,
• Encryption Solutions: Disk Encryption, File and Folder encryption,
• Database Audit Monitoring solutions
• Email and Web Phishing Prevention solutions.
• Vulnerability Management

Detailed Job Responsibilities

The Expert has a wide spectrum of responsibilities and actions. Person will be responsible for following (but not limited to) responsibilities in day-to-day work:

As the Expert of the team, he/she:

• act as the last level of escalation for the team members
• own Incident,Problem and change management process for the team
• assigns technical tasks and manages delegation
• animates the team to encourage collaboration and sharing of practices
• participates to recruitment process for the team

As the Expert of his/her scope of activity, he/she:

• is actively involved in incident management (fault investigation, resolution escalations of all monitoring alerts and user initiated problem calls/tickets) and request management
• Is the final technical approver for any changes into Data Security systems and is accountable for any technical changes in the environment from a RUN/BAU perspective
• Is involved in projects like End of Life, New Builds, migrations and technical upgrades of the solution managed by the team
• Participates in global Infra events (like Power down and DR Tests)
• ensures activity is performed in compliance with norms, standards, processes and procedures
• gathering required evidence using multiple forensic tools to investigate any data leak incident, conducting interrogation if required, case closure and reporting
• ensures documentation is up to date and relevant for use
• lead the continuous improvement initiatives
• responsible to drive and deliver root cause for any high severity issues
• Focus on automation and optimum use of the team to improve efficiency
• Maintain appropriate knowledge to ensure to be fully qualified to undertake the role.
• Complete all mandatory training as required to attain and maintain competence
• Comply with all applicable legal, regulatory and internal Compliance requirements, including, but not limited to, the Singapore Compliance manual and Compliance policies and procedures as issued from time to time; Financial Security requirements, including, but not limited to, the prevention of Financial Crime and Fraud including reporting obligations to the Money Laundering Reporting Officer.

Work Schedule

• Work schedule is mainly focused to support Asia and EMEA (Paris) time zone; however, may have to support during non-offce hours for critical incidents or escalation as per the assigned on-call support requirements;
• Rotational Shift schedule is followed;
• Work Hours: 2 PM – 11 PM SGT (with 1 week of General shift 9 AM – 6 PM SGT).

Job Description, Roles, and Responsibilities (Commissioning Manager):

A Commissioning Manager effectively manages, leads and supervises the entire quality & commissioning process including contractual deliverables. Coordinate with all departments to ensure a smooth handover from construction through to commissioning and client hand over, including extensive follow-up with contractors, vendors, and the client site team.

ROLES AND RESPONSIBILITIES

• Chair weekly Commissioning meeting with vendors
• Chair daily site Commissioning Meeting following Power On
• Issue daily Notification of Energization (NoE) during Power ON phase
• Ensure the Calibration of ALL test equipment to be used is valid and in date.
• Oversee the correct implementation of the ESSW system including Lock Out Tag Out.
• Ensure registers are maintained for LOTO and related control measures (Lock Box, Authorized Persons).
• Coordinate with the site safety team to endure source of energy risks are covered in site awareness.
• Coordinate safety watch requirements for Commissioning activities.
• Coordinate room access control personnel for sign in, sign out registers and permit to work controls in Commissioning Areas. Assistance by Safety Team
• Ensure adequate safety signage is installed by the HSE team, including live warning labelling and contact persons for Electrical and Mechanical plant.
• Coordination with ALL vendors for documentation (RAMS, Red Line Drawings, Start Up Scripts, SAT)
• Plan Mobilization dates and resources for 3rd Party vendors and commissioning contractors
• Plan and manage the Testing & Balancing team activities.
• Assist Engineering in developing the Equipment Tagging Register for Equipment Labelling (Traffolyte / SS)
• Coordination of vendors/engineering for all inter connections between packages (HW & SW)
• Liaise with the QAQC Inspectors for progress updates during the installation process.
• Liaise closely with the ELV Lead for EPMS/BMS readiness, per package as per the commissioning program.
• Manage the QAQC snagging list and ensure follow up of closures with the Construction Managers, not to delay the commissioning schedule.
• Prepare and distribute a issues log, independently to the Completion Management System CIL for tracking issues or deficiencies during the installation phase.
• Coordinate the closure of all Commissioning Issues raised in the CMS during FAT, L2, L3, SAT and IST
• Manage closely the static testing of MV & LV power cabling, ensuring the installation adheres to approved drawings. Any “To/From” deviations to be escalated immediately.
• Prepare and issue a weekly Commissioning Dashboard report.
• Prepare and issue a 2-week static and pre-functional testing look ahead program - To be updated and issued on a weekly basis.
• Manages and motivates the QA/QC and Cx teams, acts as a champion for all policies and procedures and leads by example, particularly in the areas of work ethics, quality, health, and safety.
• Plan and arrange vendors to attend for System Level and Integrated System Testing Demonstrations
• Leads engineers involved in “hands on” System Level Testing and IST Demonstrations

QUALIFICATIONS & EXPERIENCE:

• Electrical, Instrumentation or Mechanical Engineer.
  BS. Degree or Equivalent in trade experience (15 Years) with a recognized trade certificate.
• 5+ years in area specific project experience.
• Multi-discipline understanding (Electrical & Mechanical, including ELV)
• Very good English language skills.
• Competent in the use of PC applications (Microsoft Office suit or equivalent).

AVN-Digital is an expert in providing technology enabled business solutions and services. Since inception, AVN-Digital has helped clients Cyber-security, Data Analytics and Robotic Process Automation to improve their operations and profitability, focus on core competencies and achieve business results such as increased agility, innovation and profitable growth. Our in-depth technical knowledge coupled with industry experience and our unique methodologies enable us to successfully deliver and meet our customer’s expectations.

We are seeking a highly skilled Data Engineer.

As a key member of our development team, you will play a crucial role in designing, implementing, and maintaining innovative web applications while ensuring their quality through effective testing practices. If you are passionate about creating robust and reliable software solutions and possess a solid foundation in both development and testing, we invite you to apply.

Job Type: One-year Renewable Contract

Responsibilities:

• Creating complex, enterprise-transforming applications on diverse, high-energy teams

• Working with the latest tools and techniques

• Hands-on coding, usually in a pair programming environment

• Working in highly collaborative teams and building quality code

• The candidate must exhibit a good understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.

• The candidate must have a good understanding of consumer financial products, data systems and data environments, and processes that are necessary for the implementation of Risk and Finance models

Requirements:

• Degree in computer science or a numerate subject (e.g. engineering, sciences, or mathematics)

or Bachelor's/master’s degree with 6 years of experience

• Hand-on Development experience with PySpark, Scala Spark and Distributed computing.

• Development and implementation experience of applications for 4-6 years.

• 4 to 6 years' experience designing and developing in Python.

• 4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

• 3 to 5 years' experience with Unix shell scripting

• 3 to 5 years' experience with SQL

• 2 to 3 years' experience with Spark programming.

• Knowledge of micro-services architecture and cloud will be added advantage.

• Knowledge of Java and Scala will be added advantage

Mandatory Skills

• Hand-on Development experience with PySpark, ScalaSpark and Distributed computing.

• Development and implementation experience of applications for 4-6 years.

• 4 to 6 years' experience designing and developing in Python.

• 4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

• 3 to 5 years' experience with Unix shell scripting

• 3 to 5 years' experience with SQL

• 2 to 3 years' experience with Spark programming

WHAT’S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

To submit your application, please apply online.

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.

Position

The Data Framework provides a central data store for all the Front Office Orders, RFQs, Transactions and Collateral information. It also provides Market Data sourcing, Data distribution, client, instrument and referential data and is driven by an electronic Data Dictionary application : Collibra. It acts as a source of data for different regulatory reporting (MIFID 2 , SFTR , MAR etc).

Main Responsibilities

• Delivery of comprehensive business analysis to provide solutions for business needs.
• Work with the project team including product owner, senior developers, architects, BA’s to deliver business requirements and improve business processes and systems.
• Work closely with stakeholders to define requirement and various artifacts around application development or enhancement.
• Specification of business rules for regulatory reporting, business operations and transformations.
• Functional design and testing of solutions.
• Maintenance and promotion of best practices around the data dictionary of the bank
• Interaction with developers to define implementation specs
• Interaction with other IT teams to explain and communicate on Data services
• Assisting with the daily operations through scrum, Jira and Kanban, techniques.

Qualifications and Profile

• Strong Communication to bring consensus on requirement.
• Strong functional knowledge of financial product & regulatory reporting
• Knowledge on the MIFID2/SFTR/EMIR / any APAC transaction regulatory reporting principles is desirable.
• Experience of capital market processes, e.g. Pricing, Sales/Trader workflow, etc
• Exposure to microservcies based architecture, Kibana, Collibra is a plus
• Strong problem solving skills with ability to think out of box.
• Excellent communications and proven documentation capabilities.
• Skilled in Data analysis using database queries (Sql/Oracle/Sybase),TSQL
• A knowledge of FPML & XML/XSLT/XPath would be an added advantage

Interested applicants, please email your resume to Shaun Quek Yew Meng

Email: [email protected]

CEI Reg No: R1660732

EA Licence No: 99C4599

The Position

The position is within the Capital Markets IT (CMI) division which manages information systems for capital markets activities which includes Front Office (FO) booking platforms, Sales, Risk Management (RM) control and regulatory reporting systems, financial product and contract valuation systems, and much more.

CMI teams are mainly located in Paris, London, New-York, Hong-Kong, India and Singapore. Current position is based out of Singapore and successful candidate will be able to work in an international context with distributed engineering teams striving for highest quality of delivery.

Mission Context

Must be able to understand the functionalities and enterprise-wide data flows of Capital Marketing banking systems. Should be able to understand the criticality of business processes. Well versed in different type of testing; Functional Testing, Sanity Testing, Regression Testing, User Acceptance Testing etc.

Key Responsibilities

• Develop test cases and execute them in every Non-Regression Testing cycle.
• Create test data to perform test case execution.
• Automate the manual test cases and ensure the maintenance of test scripts.
• Run the automated test cases within UFT and BDD Selenium framework.
• Maintain the build job in Jenkins
• Defect and root cause analysis.
• Identify and implement automations to improve efficiency.
• Interact with other teams to perform Integration testing and Participation testing.
• Develop documentation for application knowledge transition.
• Interact with stakeholders, Dev and BAs.
• Create and Send daily execution reports to the clients.
• Undertake any other duties of a similar level and responsibility as may be required from time to time.
• Research, design, and develop software.
• Analyse user needs and develop software solutions
• Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.
• Work with other engineers to integrate hardware and/or software systems
• Develop specifications and performance requirements.

Qualifications

• 6+ years’ experience in IT.
• Strong analytical and problem solving skills
• Must have Scripting languages – VB Script, Java, Selenium
• Must have Tools knowledge– HP ALM, Jenkins, Putty, Micro Focus UFT, BDD Cucumber
• Good to have DevOps Tools knowledge: GIT, Jenkins, Selenium, Maven,
• Must have SQL Server – Database and SQL Query knowledge
• Must have Capital Markets domain knowledge
• Able to interact with senior management in Business and Technology, as well as technical colleagues
• Knowledge and experience of agile methodologies
• Excellent presentation skills including oral and written communication skills
• Enthusiastic, motivated team player
• Industry standard certifications in ITIL and SCRUM methodologies would be beneficial

Besides having greater experience on quality assurance, as a senior analyst the candidate is expected to lead discussions with architectural teams(functional and technical), different stakeholders , investigate and provide solution to compex business issues and promote continuous improvements.

Education Requirements

At least a Bachelor’s degree in any of these faculties:

• Computer Science
• Information Technology
• Programming & Systems Analysis
• Science (Computer Studies)

Interested applicants, please email your resume to Shaun Quek Yew Meng

Email: [email protected]

CEI Reg No: R1660732

EA Licence No: 99C4599

Who Are We?

At HoYoverse, we are committed to creating immersive virtual world experiences for players around the world. In addition to game products such as Genshin Impact, Honkai Impact 3rd, Tears of Themis, and Honkai: Star Rail, HoYoverse also launched the dynamic desktop software N0va Desktop, the community product HoYoLAB, and created a variety of products such as animations, comics, music, novels, and merchandise around our original creative concept.

Adhering to our mission of Tech Otakus Save the World, we have always been committed to technology research and development, exploring cutting-edge technologies, and have accumulated leading technical capabilities in cartoon rendering, artificial intelligence, cloud gaming technology, and other fields.

HoYoverse is actively engaged in globalization, with offices in Singapore, Montreal, Los Angeles, Tokyo, Seoul, and other areas.

When you apply to a position with HoYoverse, we will process your personal data. To learn more about how we process your data, we encourage you to review our comprehensive Global Applicant and Candidate Privacy Policy. This policy provides detailed insights into how your information is collected, used, and protected throughout the application process.

What You Will Do:

• Build and enhance data analysis system for game project operations, providing daily data support for game-related activities including but not limited to game product analysis, market analysis, and sentiment analysis.
• Regularly monitor and analyze game version content, including but not limited to user value, retention, game ecosystem, event version effectiveness, and commercial analysis.
• Provide data analysis support for game market distribution, including but not limited to analyzing promotional effects, advertising monitoring, and tracking user behavior.
• Provide guidance for game design and product design by analyzing user behavior data and public opinion data through data mining and exploratory analysis.
• Responsible for building user behavior data indicators and related platforms, researching refined game operations such as user profile and behavioral analysis etc.

What We Are Looking For:

• At least 3 years' related work experience, with at least 2 years in game data analysis and a strong interest in data analysis.
• Sensitive to data, familiar with data collection and analysis methods, knowledgeable about data modeling principles and mining algorithms, and understanding of server architecture and database operations.
• Experience in the full-cycle of mobile game project data analysis and able to independently carry out research projects.
• Possess strong logical and analytical skills, and with excellent teamwork abilities.

We are an equal opportunity employer that believes diverse backgrounds are key to bringing our concepts to life. If you're looking to play a key role in creating the best immersive virtual world experience for our users, we invite you to join our team.

Role and Responsibilities:

• Mixed-Signal IC (MEMS Interface) Design Engineer will be responsible for the design and development of capacitive and/or piezoelectric MEMS interface ASICs, including the required amplifiers, ADCs, filters and control logic, with characteristic high impedance inputs, ultra low power, low noise circuits etc .
• The responsibility of the Senior Mixed-Signal IC Design Engineer includes scheduling, design, simulation and layout of mixed-signal circuit blocks, including pre- and post-silicon verification

Requirements:

• Minimum BSEE with hands-on experience in IC Design flow.
• Familiarity with modern EDA tools such as Cadence, Mentor, Synopsys etc.
• Have working knowledge in analog building blocks such as bandgap reference, LDO, amplifiers, low noise amplifiers
• Understanding of ADC topologies eg Delta-Sigma, SAR, flash, integrating etc … advantageous
• A good team player with good communication skills
• Enthusiastic and independent worker.
• Willing to work in Tampines

PRODUCT AREA

The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are a diverse, upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.

JOB DESCRIPTION

Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.

ADDITIONAL JOB DESCRIPTION

As Data Center Technician, you'll deploy and maintain Google's advanced Data Center Server and Network Infrastructure by installing, configuring, testing, troubleshooting, and repairing hardware and server software. You'll also take on the configuration of more complex components (e.g., networks, routers, bridges, and switches). You will participate in or lead local project teams on larger installations and develop project contingency plans.

In this role, duties range from the physical deployment of data center related technology to working closely with various stakeholders. You will ensure that our goals, missions, and projects are successfully delivered, and, more importantly, that they are repeatable across our global array of data centers. You will move and install equipment, and work with infrastructure to ensure Google Data Center quality and reliability.Qualifications

JOB RESPONSIBILITIES

• Contribute to efforts/projects in the deployment, maintenance, and support of current and new data center infrastructure.
• Assist in deploying, repairing, and troubleshooting next generation machine learning platforms, providing feedback to local deployment/project teams.
• Participate in complex troubleshooting and resolve critical technical issues. Test and troubleshoot new server and network hardware components and designs.
• Install and maintain switches, routers, and other large-scale networking gear.
• Configure and troubleshoot Linux OS related issues.

MINIMUM QUALIFICATIONS

• Bachelor's degree or equivalent practical experience.
• Experience with Data Centers, Networking, Communication, Hardware, Technical Troubleshooting, and Operating Systems.

PREFERRED QUALIFICATIONS

• Experience working with and troubleshooting hardware or network related issues using Linux-based tools.
• Experience working within a data center or networking operation center environment.
• Experience with maintenance and monitoring of server systems.
• Knowledge of advanced Networking, topology, and protocol.
• Ability to communicate in English fluently in order to effectively communicate with representatives.

Qualifications

JOB RESPONSIBILITIES

• Contribute to efforts/projects in the deployment, maintenance, and support of current and new data center infrastructure.
• Assist in deploying, repairing, and troubleshooting next generation machine learning platforms, providing feedback to local deployment/project teams.
• Participate in complex troubleshooting and resolve critical technical issues. Test and troubleshoot new server and network hardware components and designs.
• Install and maintain switches, routers, and other large-scale networking gear.
• Configure and troubleshoot Linux OS related issues.

MINIMUM QUALIFICATIONS

• Bachelor's degree or equivalent practical experience.
• Experience with Data Centers, Networking, Communication, Hardware, Technical Troubleshooting, and Operating Systems.

PREFERRED QUALIFICATIONS

• Experience working with and troubleshooting hardware or network related issues using Linux-based tools.
• Experience working within a data center or networking operation center environment.
• Experience with maintenance and monitoring of server systems.
• Knowledge of advanced Networking, topology, and protocol.
• Ability to communicate in English fluently in order to effectively communicate with representatives.

Humans are diverse, and this diversity influences the properties of our cells, as well as our developmental processes, and disease mechanisms, diagnoses, and treatments. The impact of population-specific genetic variation on disease risk and healthcare is widely appreciated, and this can contribute to health disparities. To build a single cell reference atlas suitable for diverse population groups, we seek to characterise the impact of genes and environment on molecular traits in cells from diverse individuals across the globe. Specifically, we aim to uncover the influence of genetics, ancestry, age and sex on human phenotypes in health and disease.

We are looking for team members who will develop cutting-edge AI/machine learning methods and pipelines to integrate and interrogate gene expression and regulatory profiles of >10 million cells from thousands of donors. Your work will help establish a healthy immune baseline for disease comparisons, and craft and curate atlases of human cells that will transform our understanding of human biology. Successful candidates for this position will have the opportunity to collaborate with, learn from, and contribute to teams across the world studying diverse donors and tissues, including the Human Cell Atlas bionetworks.

Requirements:

• PhD with experience in computational biology
• Mathematical sophistication
• Programming skills in R/Python
• Strong communication skills
• Post-doctoral candidates should have a strong track record, including impactful publications

To apply, please e-mail your CV and names of references to: [email protected], [email protected]

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

As a Cloud Data Architect in AIR Lab, you are seen by the members of your Data team to not only be a pillar of strength but a source of motivation and inspiration as well. You should be someone who enjoys designing, discussing topics around processing patterns like data quality control, streaming SQL, data sources/sinks and data synchronization; streaming-backfill, stream-to-stream joins etc. You should be someone who cares about the quality of the technical implementation and delivery as much as you care about the quality of delivery. You should be someone who enjoys working in a team of diverse people with multiple ethnic and cultural backgrounds. You should be someone who enjoys diving into the technical details of figuring out a problem and be able to communicate the solution back to the team so that the members can learn from it. You should be someone who loves learning new technologies and find innovative ways to apply newfound knowledge and be courageous to encourage fellow team members to be like YOU and enjoy participating in all aspects of engineering activities in the AIR Lab.

Responsibilities:

• Plan, maintain and improve the DataLake cybersecurity posture with regards to data governance and cybersecurity standards by working with other stakeholders (e.g., Data Assessment Office, Cybersecurity Office).
• Plan, maintain and improve the DataLake service levels for reliable data flow, health of infrastructure (i.e., computer and storage).
• Plan, maintain and improve the total-cost of ownership of the DataLake; this activity includes raising efficiencies around FinOps, CloudOps.
• Maintain and improve the architecture transforming data between the DataLake and a distributed search and analytics engine (e.g., ElasticSearch)
• Lead the evolution of the DataLake by conducting the following activities (non-exhaustively) exploring new methods, techniques, algorithms (e.g., data meshes, AI/MLOps infrastructure).
• Plan, maintain the data model, data catalogue (e.g., event data, batched data, persisted, ephemeral).
• Mentor and coach the data team.
• To implement features by defining test, develop feature and associated automated tests. If appropriate, implement security tests and load tests.
• Write and review the necessary technical and functional documentation in documentation repositories (e.g., backstage.io, JIRA, READMEs).
• Work in an agile, cross-functional multinational team, actively engaging to support the success of the team.

Requirements:

Education

• Bachelors in Computer Science or Information Technology
• Master’s degree in Computer Science or Data Science, if applicable

Essential Skills/Experience

• Proficiency in designing, implementing ETL data pipelines (with structured or unstructured data) using the frameworks like Apache Dataflow / Apache Beam, Apache Flink; proficient in deploying ETL pipelines into Kubernetes cluster in Azure cloud either as virtual machines or containerized workloads.
• Proficiency in designing, implementing data lifecycle management using scalable object-storage systems like MinIO (e.g., tiering, object expiration, multi-nodal approach)
• Demonstrated application of working with Continuous Integration and/or Continuous Delivery models; you are expected to be familiar with using Linux (e.g., shell commands)
• Proficiency in distributed source code management tools like GitLab, Github
• With respects to ETL pipelines, you are expected to demonstrate proficiency in the following.
  • pipeline configuration using Gitlab
  • environment management using Gitlab; it’s a bonus if you have demonstrated experience in deployment management (e.g., canary, blue/green rollouts) using Gitlab
• Familiar with cloud deployment strategies to public clouds (e.g., Azure Cloud, AWS, GCP) and Kubernetes using virtualized and containerized workloads (e.g., Kaniko, Docker, Virtual Machine)
• Good communication skills in English

Desirable Skills/Experience

• Working knowledge of designing application with a “shift-left” cybersecurity approach.
• Working knowledge of other languages (e.g., Python, Scala, Go, TypeScript, C, C++, Java)
• Implement event-driven processing pipelines using frameworks like Apache Kafka, Apache Samza
• Familiar with the cloud deployment models (e.g., public, private, community and hybrid)
• Familiar with the main cloud service models: Software as a Service, Platform as a Service and Infrastructure as a Service.
• Familiar with designing and/or implementing AI/MLOps pipelines in public cloud (e.g., Azure, AWS, GCP)

Essential / Desirable Traits

• Possess learning agility, flexibility and pro-activity
• Comfortable with agile teamwork and user engagement