About the role

Join our dynamic team at NTT DATA SERVICES SINGAPORE PTE. LTD. as a System Analyst (KYC/AML). You will play a pivotal role in supporting our organization's compliance and risk management initiatives within the Banking & Financial Services industry.

What you'll be doing

• Analyse and design solutions for Know Your Customer (KYC) and Anti-Money Laundering (AML) systems and processes
• Collaborate with cross-functional teams to identify and implement improvements to KYC/AML operations
• Perform system testing, configuration, and maintenance to ensure optimal performance of KYC/AML applications
• Develop and document standard operating procedures, user guides, and training materials
• Stay up-to-date with regulatory changes and industry best practices in KYC/AML compliance
• Proficiency in firewall, network, and security concepts to draft system diagrams and raise firewall connectivity
• Techno-functional skillset who can design technical solutions and operational processes

What we're looking for

• Relevant degree in Computer Science, Information Systems, or a related field
• Solid 8-10 yrs experience in Unix/Linux, Shell Scripting, SQL and database management is Must
• At least 6 years of hands-on experience in middleware (Apache, Jboss, and Maria database) installation, configuration and troubleshooting
• Strong understanding of KYC and AML regulations, processes, and systems
• Proficiency in analysing requirements, designing solutions, and implementing system enhancements
• Excellent problem-solving, critical thinking, and communication skills

Job description

1. Project: Manage life cycle management (LCM) and improvement projects for network, servers, storage, backup and voice infrastructure.
Be responsible for the execution (on scope, on time, on budget) of all assigned projects
As assigned, lead or assist in the planning, implementation and introduction of projects for new systems and technologies.
Drive IT changes and standardization aligned with the GIT and CPS IT strategy.
Track delivered benefits of the infrastructure programs.

2. Exploitation: Administer, Monitor and measure performance of infrastructures component.
Manage and monitor data backup on infrastructure component (Servers data, Network configuration …)
Patch and update infrastructure component (Servers …).

3. Support: Provide 2nd level support for network infrastructure, servers, voice infrastructure
Support plant information systems (shop floor network, Radio frequency equipment …)
Driving service improvement plans on ongoing basis.

4. Engagement: Building sustainable relationships with the Engineering and Manufacturing teams in his location to support business changes and standardization 10%

5. Assists in research and fact-finding to develop or modify information systems; assists in preparing detailed specifications from which programs will be written; analyzes existing system logic difficulties and documentation; may use CASE tools. Individual contributor representing the most common entry point for this career stream; works under direct supervision.

Company intro:

Maximus Org. leading face-to-face marketing company, we empower bright individuals like you and send them on a path to a successful career. We continue to aspires to become the top sales & marketing firm that grooms’ sales elites, to represent leading companies’ products & services with pride, confidence & conviction. As we expand globally, we're on the lookout for talented individuals like you to join us on our journey and become industry leaders.

Job description:

We are looking for a self-directed leader with a growth mindset and hunger to take ownership of the front of house and create a strong vision for Maximus Organisation. As we expand globally, we're on the lookout for talented individuals like you to join us on our journey and become industry leaders.

He/she is required to understand each facet of the business and begin to think strategically for the front of house. Individual must have high emotional intelligence, the ability to build strong relationships, grit, energy, attention to detail, and a strong passion to see the business succeed.

Responsibilities:

- Execute our lead generation plan, meeting or exceeding activity targets.

- Complete basic training to understand products and marketing for effective user acquisition.

- Enhance customer acquisition through in-person interactions.

- Manage and oversee campaigns and events.

Top benefits or perks:

- Fuel your personal and professional growth with ample opportunities for advancement.

- Opportunities to travel overseas; Regional and International.

- Mentoring program from performing leaders/individuals.

- Receive 1 to 1 mentorship to help you excel in the marketing industry.

Requirements:

- Complete basic training to understand products and marketing for effective user acquisition.

- Keen interest in a career in a high performing sales culture

- Comfortable engaging strangers, results-driven, self-motivated, with strong interpersonal skills.

- We'll handle the training - you just bring your enthusiasm!

- Flexible availability (including weekends)

Key responsibilities:

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

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

Other responsibilities include:

- Create frameworks, technical features which helps in faster implementation of OpenShift Kubernetes based applications

- Carry out POCs involving new data technologies, new container platforms, sidecars, daemonsets

- Design and develop application frameworks for container integration

- Create technical documents such as solution design, program specifications for target solutions

- Perform design and development of applications which may not be limited to: Software Applications, Data Integration, User Interfaces, Automation

- Maintain and recommend software improvements to ensure a platform centric management of software applications

- Performance tuning

- Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing

- Perform tasks as part of a cross functional development team using agile or other methodologies and utilising project management software

- Independently install, customise and integrate software packages, programs, product releases

Functional skillsets

- Degree holder or equivalent relevant qualification

- Should have more than 10 years of relevant experience.

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

- Experience in deploying stateless, stateful workloads on OpenShift Kubernetes based platform

- Experience in developing microservices applications using node js, React, Java, RabbitMQ, Akka framework, Apache Consul, Apache Geode, Redis

- Experience in developing frameworks using Spark, Scala, Java, Python

- Experience in working with in-memory applications

- Strong knowledge of Operating Systems

- Experience in container deployment management using either Helm Package manager or Kustomize

- Experience in integrating container applications with an external security vault such as CyberArk Conjur, AAM

- Experience in deployment automation of container applications using Jenkins, Jfrog, Gradle, Bitbucket, Groovy

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

- Expertise in Load balancing and replication, scheduling

- Good knowledge of Custom Resources, Docker, Taints & tolerances, Node affinity, ConfigMaps

- Experience in Shell scripting, Control-M

- Expertise in design of role based fine grained access control

- Supporting application failures, planning for resiliency, Back-up Recovery

Technical skillsets

- Platforms provided by IBM Cloud Pak for Data (CP4D)

- Kubernetes based platforms such as OpenShift, AWS, Azure, GCP

- Software defined storage (ODF)

- IBM Storage Fusion

- S3 compatible storage options (Dell ECS, HCP)

- Node js, React, Java, RabbitMQ, Akka framework, Apache Consul, Apache Geode, Redis

- Scala, Java, Python

- Helm Package manager, Kustomize

- Jenkins, Jfrog, Gradle, Bitbucket, Groovy

- Shell scripting, Docker

- Splunk, Prometheus, Geneous

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

1. OpenShift

2. Kubernetes, Docker

3. Language – SQL, Java, Python, Scala

4. Automation / scripting – CtrlM, Shell Scripting, Groovy

Job Description Summary:

We are seeking a skilled Cyber Analytics Engineer with a background in Machine Learning to join our Cybersecurity Operations team. This role is pivotal in developing advanced capabilities to support our Threat Detection Engineering, Cyber Defense Center, Cyber Threat Intelligence and Offensive Security teams. The ideal candidate will leverage data analytics and machine learning techniques to create innovative solutions that enable faster detection and automated response to emerging threats. If you are passionate about cybersecurity and have a strong background in data science, this is the opportunity for you to make a significant impact in protecting our organization.

Job Description:

As a member of our Cyber Data Science and Engineering team, this role will work with our Cybersecurity Operations team to identify opportunities to translate our data-at-scale to into actionable outcomes through data science and engineering approaches.

Supporting the following services, an ideal candidate will be able to:

Advanced Threat Detection:

• Design, develop, and implement machine learning models for detecting and responding to cyber threats across various data sources, including network traffic, user behavior, endpoint activity, and product web sessions.
• Continuously refine and enhance detection algorithms based on new threat intelligence and feedback from incident response teams.
• 
  

Threat Intelligence Integration:

• Analyze and apply threat intelligence data to improve detection capabilities, ensuring that models are trained on the latest threat actor behaviors and techniques.
• Collaborate with threat intelligence teams to integrate contextual data into services to all stakeholders, enhancing the accuracy and effectiveness of cyber operations.

Automated Response Solutions:

• Develop automated response systems that leverage machine learning outputs to initiate immediate actions against detected threats, reducing response times and mitigating risks.

Data Collection, Analysis and Visualization:

• Perform in-depth data analysis to uncover insights and trends related to cybersecurity incidents, leveraging statistical methods and visualization tools.
• Present findings and actionable recommendations to stakeholders, including technical teams and executive leadership.

Collaboration and Knowledge Sharing:

• Collaborate with cross-functional teams, including cybersecurity analysts, incident responders, and IT personnel, to ensure alignment on detection strategies and response protocols.
• Contribute to the development of best practices and documentation related to machine learning and data science applications in cybersecurity.

Skills we think will make you successful in this role include:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Cybersecurity, or a related field.
• 3+ years of experience in data science and machine learning, preferably within a cybersecurity context.
• Proficiency in programming languages such as Python or R, and experience with machine learning frameworks (e.g., MLlib, TensorFlow, PyTorch, Scikit-learn).
• Familiarity with cybersecurity concepts, threat detection methodologies, and threat intelligence frameworks.
• Strong analytical skills with the ability to translate complex data into actionable insights.
• Excellent communication skills, capable of conveying technical concepts to non-technical audiences.
• Excellent written and verbal technical communication skills, capability of communicating detailed machine learning concepts to other Machine Learning Engineers
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Experience designing new and working with existing deep learning models.
• Experience with NLP models like embedding models and transformer models.
• Experience working with time series data.
• Experience working with supervised, unsupervised, and semi-supervised machine learning settings.
• Experience developing and testing software services for production deployment.
• Experience working with data lake technology like Big Query and delta lake.

Primary Responsibilities:

• Product Information Management (PIM) system (e.g. InRiver software), strong in Excel and can handle high volume sku products
• Spearhead regional content enrichment initiatives with robust support from cross-functional teams.
• Ensure top-notch data quality and content integrity, proactively addressing gaps in our product offerings through consistent product information updates.
• Strategically manage and curate the regional product portfolio alongside key stakeholders.

Requirements:

• Completed studies in economics, informatics (with a focus on IT or e-commerce), or a related field, coupled with a solid marketing foundation.
• Demonstrated track record with at least 5 years in professional product data management within technical sectors, leveraging data management or content management systems.
• Known for a structured, solution-oriented work approach complemented by exceptional communication skills.
• Proficient in industry standards such as ETIM, eCl@ss, BMEcat, and adept in ERP, PLM, and e-commerce platforms.
• Essential previous experience with PIM systems; familiarity with platforms like InRiver or similar is preferred.
• Strong command of data management using spreadsheets and Excel, enhancing operational efficiency.
• Thrives in a multinational environment, ideally with exposure to e-commerce dynamics.
• Fluent in English with a keen technical grasp and a passion for technology-driven content.

Additional Attributes:

• Self-motivated with a dynamic, collaborative, and team-centric mindset.
• Exceptional organizational prowess, adept at multitasking and forging impactful networks.
• Proficient in project management and coordination, ensuring seamless execution.

Interested candidates who wish to apply for the advertised position, please click on “Apply”. We regret that only shortlisted candidates will be notified.

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We are partnered with an established organisation to search for a Sustainability Analyst for their Data Center foorprint

Responsibilities:

• Optimize Reporting Processes: Create and maintain systems that streamline sustainability reporting, improving data accuracy and impact. Partner with internal teams to meet their sustainability KPIs.
• Lead Sustainability Initiatives: Spearhead the development and implementation of sustainability goals, ensuring alignment with both environmental and financial objectives for the organization and Data Centre operations.
• Policy Implementation and Review: Formalize sustainability strategies through documentation, conducting quarterly reviews to ensure alignment with evolving standards.
• Track sustainability metrics, gather relevant data, and produce regular performance reports. Conduct audits to ensure ongoing adherence to sustainability goals.
• Stay Informed on Best Practices: Monitor industry trends and continuously incorporate leading sustainability practices into the organization.

Requirements:

• Degree in any discipline
• Familiar with global and local sustainability standards, such as SS564 Green Data Centre, ISO 14001 Environmental Management System, etc.
• Analytical mindset and project management skills for effective tracking and reporting of sustainability projects.

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

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 success of TikTok's data business model hinges on the supply of a large volume of high quality labeled data that will grow exponentially as our business scales up. However, the current cost of data labeling is excessively high. The Data Solutions team is built to understand data strategically at scale for all Global Business Solution (GBS) business needs. Data Solutions Team uses quantitative and qualitative data to guide and uncover insights, turning our findings into real products to power exponential growth. Data Solutions Team responsibility includes infrastructure construction, recognition capabilities management, global labeling delivery management.

About the role

As Data Engineer, you will be working on cutting-edge challenges in the big data and AI industry which requires strong passion and capability of innovation. You will collaborate closely with cross-functional teams to understand business requirements and translate them into technical solutions.

Responsibility

1. Architect efficient, scalable and reliable data pipelines and infrastructure for ingesting, processing, and transforming large volumes of data;

2. Define the technical strategy and roadmap for data engineering projects in alignment with business objectives, actively evaluate and bring in industry best practices and state-of-the-art technical approaches, and timely update the strategy according to the rapid change of the industry;

3. Own and drive data engineering projects by leveraging both internal and cross-functional resources, setting meaningful and challenging targets, and achieving them with innovative approaches;

Qualifications

Minimum Qualifications:

1. Bachelor's or Master's degree in Computer Science, Engineering, or related field;

2. Experience in data engineering, with demonstrated expertise in building scalable data pipelines and infrastructure;

3. Proficiency in programming languages such as Python, SQL, and Java;

4. Experience with big data technologies such as Apache Spark, Hadoop, and Kafka.

Preferred Qualifications:

1. Strong understanding of database systems, data warehousing, and distributed computing concepts;

2. Excellent communication, and interpersonal skills.

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.

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

The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by the industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.

We are dedicated to crafting a best-in-class financial analysis and modeling product while constantly looking to enhance and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs.

What's the role?

The Company Financials Markets team is looking for a Senior Data Management Professional who can combine deep subject matter expertise and advanced technical skills to own and develop data-driven strategies and workflows around exchanges and 3rd party data providers. You are expected to take advantage of these knowledge and skills to drive workflow strategies, deliver best-in-class user and technical workflows and better incorporate humans in the automation pipelines that eventually help shape and build fit-for-purpose Company Financials products. Coupled with good communication and stakeholder management skills, you will also be working very closely with partners across PD&T, including Product Managers, Engineering teams as well as other Company Financials Industries and Cross-function teams to meet the needs of our external and internal clients.

We'll trust you to:

• Develop data-driven strategies, balancing the best of technical, product, financial and Market knowledge, and work with our engineering and product departments to craft solutions
• Own the reliable and efficient workflows around the exchanges and 3rd party data providers such as document acquisition and structured/unstructured contents processing, utilizing programming, machine learning and/or human-in-the-loop approaches.
• Analyze workflows to identify critical observability checkpoints to ensure delivery of the fit-for-purpose data on market basis; design and build efficient, maintainable and scalable solutions to facilitate monitoring, reporting and alerting across markets.
• Analyze market specific workstreams to identify opportunities for improvement and/or consolidation by leveraging technical knowledge of Bloomberg's proprietary or open-source stacks.
• Communicate and collaborate across team members and complementary teams including Engineering, Product, and Bloomberg Intelligence
• Develop interconnected data models that enable analysis across datasets and develop statistical analysis.

You'll need to have:

• Minimum 4+ years of experience in the financial/fintech services industry, including exchanges, market data providers or financial technology institutions
• Minimum 4+ years of experience working in a data engineering role or related fields such data quality, data modeling, or data architecture
• Experience implementing high volume, low-latency ETL pipelines and proven track record of managing data lifecycle
• A bachelor's degree or higher in Computer Science, Mathematics, or relevant data technology field, or degree-equivalent qualifications
• Demonstrated experience working with Python in development or production environment
• Familiarity with various databases, schemas, modeling, as well as structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.)
• Strong project management skills and ability to prioritize and adapt to tasks accordingly with a customer focused mentality
• Powerful collaboration skills to work across departments and regions, excellent written and verbal communication skills
• Demonstrated continuous career growth within an organization
• Excellent written and verbal communication skills in English

We would love to see:

• Advanced degree/Master’s degree in a Finance or STEM subject and/or CFA designation (or working towards it)
• Experience in Bloomberg Company Financials products especially with specific market/exchange, Bloomberg Terminal fluency, and/or Bloomberg Data Workflows
• Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing
• Experience designing optimal database structures

If this sounds like you:

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

About the company

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 Data Security Management & Governance team is responsible for managing and mitigating data security risks posed within the organisation. To identify the data security risks and enhance the company's security management level, this team is responsible for the construction of the company's data security management system, defining the identification of security risks, and driving the implementation of security governance solutions. This team is also accountable for compiling company data security management regulations/polices, optimizing data security management processes, and operating the internal security platform.

Responsibilities

1. Accountable for establishing and maintaining data security metrics, conducting systematic monitoring of indicators, and performing attribution analysis. Measure the company's security level from multiple dimensions and provide risk inputs for data security governance.

2. Responsible for the construction of the company's data security management system, defining the identification of security risks, and driving the implementation of security governance solutions to enhance the company's security management level and collaborative capabilities.

3. Write company data security management regulations/polices, optimize data security management processes, and innovate data security management methods.

4. Responsible for the operation of the internal security platform. Develop effective operational plans and processes in line with business and platform development goals. Handle daily operational issues of the platform and respond to and drive the resolution of business-related problems.

Minimum Qualifications

1. Bachelor's degree or above, with a preference for majors in Mathematics, Statistics, Management, or Computer Science.

2. Minimum of 3 years of work experience, with a preference for experience in security governance, access management, consulting, or security platforms-related work.

3. Excellent communication skills with logical thinking ability.

4. Calm and composed personality, a strong inclination towards learning, and a team-oriented mindset.

5. Self-driven and results-oriented, enjoys challenging tasks, demonstrates enthusiasm for work, and can handle job pressures.

Preferred Qualifications

1. Have experience with other internet technology companies and work as a data security IC or leader.

2. Be able to use large models or have data analysis capabilities.

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 enrich life. 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.

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

Job Highlights:

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

• Senior level positions from various sectors are available

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Attractive Incentives

Job Duties:

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

• Handle full spectrum of recruitment and talent acquisition matters

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

• Coordinate interviews between candidates and clients

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

• Networking and building relationships with business partners and jobseekers

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

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

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

We regret that only the shortlisted candidates will be notified.

Email Address: [email protected]

Horizon Organisation is currently seeking motivated and self-driven individuals to join our dynamic and fun team.

As a leading force in the industry, we have been established to assist clients from diverse sectors to boost their brand awareness and sales revenue.

If you have a passion for sales, marketing strategies and have excellent communication skills, we'd love to hear from you!

No experience required, training/ mentorship provided

Responsibilities:

- Present with insight and captivating ideas to attract customers

- Handle sales and customer service with professionalism

- Communicate with customers through face-to-face direct interactions

Benefits:

- One to one personal training

- Developmental workshops from top performing international individuals

- Travel opportunities

Requirements:

- Singaporeans/ PR holders

- Comfortable talking to people face-to-face

- Team player attitude

- Willingness to learn and take up challenges

Min commitment period: 6 months

Job Type: Full-time, Part-time, Permanent, Fresh Graduate

Pay: $2,500-$4,000

Expected hours: 40-44 hours/ week

About the Role:

We are seeking a talented Data Scientist to join our team and focus on building domain-specific AI solutions. The ideal candidate will have a strong background in AI, machine learning, and natural language processing (NLP). This role involves developing, implementing, and optimizing AI solutions tailored to the real estate industry, ensuring they provide accurate, context-aware responses and enhance user engagement.

Duties & Responsibilities:

• Design, develop, and deploy domain-specific AI chatbots using machine learning and NLP techniques.
• Support various stakeholders by proposing and implementing data science models to extract insights
• Support Innovation, identify new areas of improvement for data analytics, big data technology with an eye to solve business problems.
• Support a clear communication strategy that keeps all relevant stakeholders informed.

Key skills & qualifications required:

• Bachelor’s degree in computer science / data science / information technology / engineering related studies
• Experience with LLMs, RAG, Embeddings, Vector DB, AI platforms and deployment of AI solutions
• Strong knowledge in statistical analysis and machine learning models
• Expertise in computer vision and natural language processing is a plus
• Experience with Big Data (Spark, Hadoop/Hive) and real-time analytics is a plus

Personal Competencies:

• Creative thinking backed by strong analytical and problem-solving skills
• Effective verbal and written communication skills
• Willing to learn new knowledge and explore unfamiliar domains

• Good understanding and completion of projects using waterfall/Agile methodology.
• Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.
• Understanding of reporting or visualization tool like SAP BO and Tableau is important.
• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.
• Strong SQL and data modelling and data analysis skills.
• Good understanding of analytics and data warehouse implementations.
• Ability to troubleshoot complex issues ranging from system resource to application stack traces.
• Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage

• Analyse the Authority’s data needs and document the requirements.

• Refine data collection/consumption by migrating data collection to more efficient channels.

• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.

• Develop test plan and scripts for system testing, support user acceptance testing.

• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.

• Ensure the smooth operations and service level of IT solutions.

• Support production issues.

• Good understanding and completion of projects using waterfall/Agile methodology.

• Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.

• Understanding of reporting or visualization tool like SAP BO and Tableau is important.

• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.

• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.

• Strong SQL and data modelling and data analysis skills.

• Good understanding of analytics and data warehouse implementations.

• Ability to troubleshoot complex issues ranging from system resource to application stack traces.

• Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage.

We seek a skilled and motivated Data Engineer with expertise in Hadoop, Spark, OpenShift Container Platform (OCP), and DevOps practices. As a Data Engineer, you will be responsible for designing, developing, and maintaining efficient data pipelines, and processing large-scale datasets. Your expertise in Hadoop, Spark, OCP, and DevOps will be crucial in ensuring the availability, scalability, and reliability of our ML Solutions.

Responsibilities:

• Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives
• Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions
• Ensure data quality and integrity throughout the data processing lifecycle
• Design and deploy data engineering solutions on the OpenShift Container Platform (OCP) using containerization and orchestration techniques
• Optimize data engineering workflows for containerized deployment and efficient resource utilization
• Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability
• Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance
• Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements
• Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure
• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference
• Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps
• Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation for the continuous improvement of the analytics capabilities within the bank

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field
• Proven experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments
• Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)
• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, Bitbucket)
• Experience with Graphana, Prometheus, and Splunk will be an added benefit
• Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges- Excellent collaboration and communication skills to work effectively with cross-functional teams
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus

Responsibilities:

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

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

· Ensure data quality and integrity throughout the data processing lifecycle

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

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

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

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

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

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

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

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

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

Requirements:

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

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

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

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

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

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

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

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

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

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

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

❗️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 aim to become one of the leading outsourced sales & marketing company.

We are a highly energetic, youthful and dynamic team and we are looking for a motivated individual to help drive and build the team to new high.

Responsibilites:

-> Developing & maintaining sales strategies

-> Drive sales

-> Maintaining customer relations

-> Answering customers’ queries on product specifications and benefits

-> Working tightly with sales team

-> Meet sales quotas

What you can expect:

-> Travelling opportunities for networking purposes

-> New experiences everyday as you make a real difference in peoples’ lives

-> Career advancement opportunities with a company that is growing

To ensure success as a sales & marketing representative, you should have excellent communication and written skills, and a passion for sales. Strong presentation, negotiation and influencing skills are also needed along with good teamwork collaboration.

If you fit the descriptions above, do apply and we will contact you if you are shortlisted.

Key Responsibilities and Attributes :

· Duties include providing support to Citi perimeter security infrastructure, which includes firewall, proxy, and remote access systems.

· Investigation, documentation, and resolution of outages to critical business systems that may be caused by firewall, proxy, or remote access systems.

· Escalation of issues to and tracking of progress in conjunction with Client engineering teams, vendors, or other technical resource teams.

· Working incidents or projects beyond the scope of the level 2 team which may include scheduling multiple changes, software upgrades, or configuration activities to resolve.

Desired platforms/skills include:

· Strong troubleshooting and communication skills, tcpdump/pcap/wireshark experience, Check Point Secure Platform Pro & Gaia, Juniper SRX, Bluecoat Proxy, Palo Alto Networks firewalls, Juniper SSL VPN appliances, Juniper Netscreen firewalls, Cisco ASA with AnyConnect client, Network routing with BGP, Linux/Unix experience preferred.

· Also desired/emphasized is a strong analytical and quantitative capability with attention to detail ability to work in a demanding and environment, exhibiting a high degree of flexibility and ability to multi-task, seeking guidance where necessary, strong verbal and written skills are also desired.

We are seeking a highly motivated individual to join our team as a Customer Success Manager (Trade Finance). As a Customer Success Manager, you will engage the various financial, commodity and supply chain stakeholders to drive the digitalization in trade and contribute to overall efficiency of Singapore’s supply chain landscape.

Key Responsibilities

Ensure success for customers across their whole lifecycle

• As advocate for the Customer, define key business requirements, understand and anticipate Customer’s needs
• Lead commercial discussions with Customer to drive revenue for the company
• Plan and execute product and systems implementations (e.g. UAT, SIT, live production) to ensure smooth deployment
• Work alongside the wider team to implement solutions, ensuring that the product development, deployment, and Customer onboarding are delivered on time
• Support business outcomes for Customer helping them realize value from the product through continuous improvement in product design, delivery practices and customer satisfaction by understanding business needs
• Manage use case pipeline, account manage and act as point of contact for Customer’s feedback and issues
• Provide product knowledge to Customers and drive resolution in a timely and proactive manner
• Track and ensure realization of financial and non-financial targets and other strategic KPIs
• Drive and support expansion plan for existing use cases and drive user adoption
• Form strong relationships with customers, keeping them fully engaged and supported, liaising with both technical and business focused audience

Expand Customer base and Use Case adoption

• Work with existing Customers and stakeholders to drive Customer reference and prospects
• Deliver proactive customer contact strategy to engage, recruit and drive account growth
• Identify at-risk customer and execute remediation plan
• Overall responsible for the management of a portfolio of Customers to foster long-term business relationships

Be a key member of the team

• Have a Customer-first mindset and experience in delivering business outcomes
• Be highly collaborative and work across teams and stakeholders to deliver right outcome for customer
• Act as a role model for the team by always demonstrating the highest standards in business conduct; transparency, predictability, integrity and compliance
• Act as a company ambassador for internal and external events

Qualifications / Skills and Competencies

The ideal candidate would have

• ~ 5-10 years of relevant and current experience in structured trade and commodity finance products
• Proven track record for driving digitalization and/or process optimization in trade finance with passion for Digital solutions to address customer business problems
• Experience in key supply chain industry business processes with established network in various industry especially in the commodities sector. Bearing know-how of the nuances/ways of work related to trade finance transactions, credit facilities structuring, risk monitoring, supply chain financing
• Experience handling a portfolio of commodity clients including oil/energy, metals and soft commodities
• Strong business, trade and technology industry knowledge paired with an ability to “see the big picture” to identify the dependencies, plus the upstream and downstream impact of process enhancement
• Strong written and verbal communication skills. Ability to present comfortably and compellingly to senior audiences and to deliver difficult messages objectively to both internal and external stakeholders
• Strong ability to engage Customer and stakeholders with proficiency in aligning cross-topic objectives in multi-organizational set up
• Customer focused with strong interpersonal, negotiation and influencing skills
• Experience working in a team-oriented, dynamic and fast-paced environment
• Confident, self-motivated team player who thrives in a fast-moving environment
• Good understanding of software development principles and practices, and prior experience working with technical teams is a plus
• Prior sales or relationship management experience in commodity trade finance is a plus
• Prior experience and exposure to API, data platforms implementation is a plus

• Supervise the loading, off-loading of goods from shipping containers and stacking of the goods in the receiving and dispatching area.
• Tally all goods and match them with shipping invoices and packing orders to ensure the accuracy of incoming and outgoing shipments.

Requirments:

• At least 1 year of working experience
• Detail oriented and with special attention to accuracy and timely reporting.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R21100996

The Role

Directly reporting to the Manager, OpenData Research Center, APAC we are looking for a Data Steward Team Lead who will be responsible for the direct supervision of data stewardship team members for the data offering in Pakistan within the APAC region.

You will also be responsible and retain all the responsibilities of a Data Steward, such as updating the attributes of records to improve core data, calling Group Practices, and updating provider affiliation information.

If you have a passion for data and quality – this is a great opportunity for you! Your role will be based in the Veeva Office in Singapore.

What You'll Do

• Recruit, coach, motivate, appraise and retain team members
• Deliver all necessary training to Data Stewards and audit the data quality
• Monitor, improve, and give feedback on individual and team performance
• Design, document, and optimize processes to ensure best-in-class delivery of data quality
• Ensure the team meets and exceeds productivity and quality standards
• Run the daily operations in the Data Stewardship team

Requirements

• BA/MA or equivalent degree
• Urdu language is required for facilitating phone / web research validation to both build and maintain the product. (The data sources need to be either phone or web validated with the respective hospitals, clinics, or pharmacies to ensure the data is accurate)
• 1+ year of work experience with leadership component; recent graduates who have leadership quality are welcome to apply
• Ability to learn quickly and independently
• Problem-solving and efficient time management skills
• Proficiency in Windows, Google apps, MS Office, and other office software
• People and result-oriented
• Experience in staff scheduling
• Highly organized, attention to detail, and focus on quality
• Fluent in English

Our client, a leading international investment bank, is looking for a data BA for their product controller team to ensure critical securities modeling and pricing data is accurate, complete, and scalable.

Responsibilities:

• Collaborate with traders, strategists, and other operations professionals to actively resolve data exceptions, delve into technical issues to investigate and fix complex problems involving multiple teams and vendors, and work with business partners to analyze and implement solutions for new business reference data requirements
• Collaborate with a team of global product experts to utilize knowledge in resolving comprehensive reference data issues involving multiple stakeholders across diverse teams and divisions
• Demonstrate attention to detail and ability to understand all aspects of product and pricing reference data, and interpret their attributes to all downstream systems reliant on these attributes
• Build strong and effective relationships with critical vendors providing reference data to improve their controls and deliver the best product possible to the company
• Suggest ideas for process improvements and implement them globally to enhance the overall process
• Collaborate with senior technologists and project managers on key projects that are redefining the reference data support model used across the entire financial industry

Requirements:

• Knowledge of derivatives pricing and trade life cycle in any asset
• Ideally from a data science background, or familiar with SQL/ VBA macro
• Ability to juggle multiple tasks with dynamic and aggressive deadlines
• Self-motivated and a team player
• Good communication skills in English since it requires working with foreigners
• Bachelor's degree in a related discipline from a reputable university

With well over a decade of a solid and enviable track record behind us, headquartered in Hong Kong, Pinpoint Asia Infotech Pte Ltd (EA License: 16C8291) is the go-to IT Search Firm for several top Investment Banks and Financial Institutions.

If you are interested in the above position, please send your CV to Lu Zhang @ [email protected] (EA Registration number: Reg No: R22105986)

Duration: 1 Year Contract (Tentative from 02 Jan 2025 - 02 Jan 2026 **Project may start early in Nov 2024)

Location: Fusionpolis

Working hours: Mon - Fri (8am - 6pm)

Responsibilities:

The Data Privacy and Protection Capability Center (DPPCC) was set up to raise the government’s capabilities in data privacy and drive adoption of Privacy-Enhancing Technologies (PETs). As a Data Scientist in DPPCC, you will be breaking new ground in the emerging field of privacy engineering through working on impactful and scalable technologies, that help unlock the potential of data for public good.

PETs are not new, but they have been challenging to implement in real use cases, whether within or outside of government. The team aims to bridge the gap between research to adoption through experimentation and piloting with agencies to assess the feasibility and utility of each technology, and prepare them for wider adoption in government, whether it be through building products, evaluating current solutions, developing clear guidelines around usage or education.

The team’s portfolio is currently working on evolving technologies includes such as LLM-powered approaches to PII etection and redaction Free-Text Anonymisation, Synthetic Data Generation, Homomorphic Encryption and Differential Privacy, and we plan to open new projects in other technologies (e.g., Federated Learning, Confidential Computing, Data Clean Rooms).

We are seeking a Data Scientist to:

(a) gather information on existing solutions for a PET

(b) run experiments to benchmark and evaluate potential optimal solutions

(c) design implementable workflows/ solutions that agencies can use

(d) and synthesize research on advancements, case studies, and benchmarks to develop materials that guide agency adoption and meet their needs. synthesize research on international case studies/ benchmarks and/or developing materials to guide agency adoption. and

(e) develop and deploy cloud-based implementations of optimal solutions.

Requirements:

• Bachelor’s degree or diploma in Computer Science, Data Science or a relevant field of study. Open to entry level candidates with relevant internship/projects experience.
• Has sufficient foundation in AI/ML model development to be able to run experiments according to user needs
• Experience with quantitative analysis, including machine learning frameworks and tools (e.g., scikit-learn, TensorFlow, PyTorch)
• Proficiency in at least one programming languages, such as Python or R
• Experience with the cloud (e.g. AWS, GCP, Azure)
• We value candidates with T-shaped competencies. Adjacent expertise in related areas like software development (e.g., cloud infrastructure, frontend technologies, backend with REST APIs) is a big plus.
• Has an inclination to read and synthesize research work, even in a new domain.
• Curiosity, willingness to learn and explore new domains, especially in data privacy and protection. While experience with privacy-enhancing technologies is a plus, we are happy for you to learn on the job.
• Inclination to work in a collaborative environment
• Machine learning frameworks and tools (scikit-learn, TensorFlow, PyTorch as examples)
• Proficiency in at least one programming language (e.g., Python, R)
• Experience with cloud infrastructure (e.g., AWS, GCP, Azure)
• Optional but highly valued: Frontend technologies, backend with REST APIs

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

https://go.persolkelly.com/job/apply/9429

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