Job Description

• Co-ordinate with construction team to ensure all inspection and testing requirements are fulfilled and work quality is achieved in order to meet client’s requirement as per the contract.
• Monitor the implementation of the Project Quality and Environmental Plan
• Ensure quality of works in accordance with Quality Management Plan including development of Method Statements, Inspection & Testing Plans and Checklists
• Conduct site inspections
• Witnessing and sentencing of all site inspections within their disciplines
• Assess subcontractor/supplier QA arrangements for compliance with contract requirements
• Acquaint section personnel with QA requirements and arrangements in place to achieve them • Audit and monitor QA and Environmental systems for compliance and effectiveness
• Coordinating and maintaining a non-conformance control system including issuing of non-conformance reports to the Project Manager and ensure corrective actions are implemented and effective
• Control/check on status of issue/revisions of QC documents/drawings within section/on sites
• Assist the Project QA Manager and section managers in the production and implementation of Safety, QA, QC and Environmental procedures
• Ensure key dates are achieved for preparation and submission (where appropriate) of quality procedures, inspection and test plans
• Provide regular reports and analysis of QA performance to Project QA/E Manager
• Assist in the development and maintenance of company systems Coordinate documentation including planning, reviewing and updating of the Project Management Plan

Job Requirement

• Degree in Civil engineering
• 3 years’ experience as a QA/QC Engineer
• Preferably with data center project experience

About the Role:

You are responsible for creating and driving data privacy and data governance initiatives for a digital bank that seeks to offer inclusive banking services to customers based on a strong foundation of data innovation, privacy and trust.

As the Data Privacy and Governance Lead Specialist, you will be involved in creating and implementing data privacy and governance policies, processes, systems and tools, and the bank’s data architecture to ensure enterprise data is securely stored, documented and managed effectively. You will partner with various parts of the bank to drive initiatives to embed privacy into the bank’s products and process design, and provide advice on compliance with data protection requirements.

The role involves:

• Implementing the bank’s data protection management programme, including the development, review and implementation of data protection related policies and processes
• Implementing the bank’s data privacy risk management, including working with business units to conduct data protection impact assessments to identify, assess, mitigate and review data privacy risks.
• Partnering business, compliance and risk teams to provide advice to support business units in the development of products and business initiatives to ensure compliance with regulatory requirements and standards.
• Implementing effective training and communications initiatives to increase staff awareness of data privacy and governance in the bank.
• Implementing the bank’s data privacy management systems, software and tools to effectively oversee and monitor the bank’s processing of personal data and management of consent.
• Collaborating with engineering teams to implement robust data architecture that ensures enterprise data is securely stored and managed effectively, and data governance solutions, metrics, reports and dashboards to improve efficiency, data accuracy and consistency.
• Working with relevant regulatory authorities and industry groupings on developing guidance to provide thought leadership on data privacy, data and AI governance issues and use cases.
• Facilitating and responding to data privacy and governance related enquiries, complaints and data subject requests.
• Overseeing and implementing the bank’s data breach management plan in coordination with relevant business units and functions, and participating as a key member of the bank’s data breach response team.

Requirements:

• At least 8 years of relevant experience and strong understanding of data privacy and involvement in implementing data governance activities and processes in a large organization, preferably in the banking, financial services or digital services sector in Singapore.
• Ability to adopt practical approaches to effectively balance business with compliance requirements.
• Ability to understand business and technical requirements of data, and manage the technical implementation of data privacy management systems and software tools.
• Sound understanding and technical experience in data management, including metadata, data access and data quality management, familiarity with Big Data components & Data Warehousing concepts, preferably in SnowFlake.
• Good understanding of data privacy and governance related regulatory requirements, especially in the area of managing and protecting personal data within a Big Data and GenAI environment, and preferably with an understanding of financial sectoral laws and other related regulations.
• Self-starter, able to work independently and in teams.
• Strong project management, writing, communication, interpersonal and negotiation skills.

WHAT YOU'LL DO

As a data-driven solutions team we are looking for a senior data engineer that helps us design, build and operate our data pipelines and data storage aspects of our solutions. We are looking for colleagues that are self-driven and don’t shy away from trying new unconventional methods to build new state-of-the-art solutions that bring data to where we need it. Daily tasks include :

• Data pipeline design, data extraction, data quality assurance, data transformation and data pipeline automation.
• You will need to focus on enterprise grade delivery of data pipelines in a compliant way touching data privacy, data protection, anonymization, and compliant software development practices.

WHAT YOU'LL BRING

We are looking for a candidate who possesses a passion for innovation and data-driven solutions paired with a hands-on can-do attitude. The ideal candidate will be a self-motivated expert with a love for delivering quality data sets and coach junior data engineers.

Ideal candidates have the following experience/skills.

• University degree in a technical field
• Practical data processing skills especially with unstructured text.
• UNIX/LINUX Operating system savvy
• Solid foundation in computer science
• Applied knowledge in Python & Spark
• Experience building and optimizing big data pipelines.
• Creative thinking, willingness, and ability to learn new concepts and technologies.
• Fluent in English

MEET YOUR TEAM

We are a Data Science and Technology focused team and we have established a data lake platform used by more than 150 Data Scientist in Service and Support. The team’s mission is to improve, automate, and transform the customer support business of SAP using Machine Learning and Data-driven Innovation.

About Advanced Energy:

Advanced Energy (Nasdaq: AEIS) is a global leader in the design and manufacturing of highly engineered, precision power conversion, measurement, and control solutions for mission-critical applications and processes. AE’s power solutions enable customer innovation in complex applications for various industries, including semiconductor equipment, industrial, manufacturing, telecommunications, data center computing, and healthcare. With engineering know-how and responsive service and support around the globe, the company builds collaborative partnerships to meet technology advances, propel growth for its customers and innovate the future of power. Advanced Energy has devoted four decades to perfecting power for its global customers and is headquartered in Denver, Colorado.

About the Role: As the Data Product Owner, you will be an integral part of AE’s global supply chain function, working closely with a diverse team. You will play a pivotal role in supporting the specific data and analytics needs as the function embarks on its digital transformation journey. As a passionate advocate for data, you will drive data literacy initiatives, mentor internal team members, and lead data product development. The Data Product Owner is expected to work closely with key stakeholders and possesses the hands-on technical skills in data space required for rapid prototyping to bring ideas to life for buy-in and further facilitate co-creation with the Global IT team. This role offers a unique opportunity to deeply understand the supply chain function and to learn and grow in the Supply Chain transformation space, all within a collaborative team environment.

Responsibilities:

· Engage with stakeholders, including senior executives and end users, to understand their data product needs.

· Lead discovery and ideation sessions with internal teams to establish the product's value proposition to be developed.

· Translate business needs into detailed technical project objectives and manage their execution by driving end-to-end proof of value initiatives.

· Adapt the product backlog to changing customer and business needs, ensuring alignment with shifting priorities.

· Support and execute rapid prototyping for pilot programs selected by senior executives with supporting data engineers and Data analysts & also demonstrating technical leadership.

· Support cloud initiatives and data asset migration in collaboration with IT and internal teams.

· Coach and lead the data analysts, data scientists, and intern team to build robust data capabilities.

· Drive in-house data and product management literacy programs.

Requirements:

· A minimum of 6+ years of data and analytics field experience, with Manufacturing or Supply Chain exposure, will be a significant plus for the role.

· Five years in a technical project management or delivery management role in Data and Analytics scope.

· Master’s Degree in a STEM subject and experience in a related field, such as programming, statistics, data science, or equivalent experience.

· Experience working with senior business stakeholders and Strong data storytelling skills to create a compelling vision.

· Adapt to changing requirements and priorities and can get things done while overcoming the challenges during the process

· Proven experience with Python & Power BI.

· Experience with UX frameworks and tools like Figma/Miro.

· Experience in project management tools like Jira and Atlas.

· Hands-on experience in Machine Learning, end-to-end Machine Learning operation life cycle, and Natural Language Processing.

· Exposure to graph technologies, advanced analytics algorithms, and tools such as GNN, LSTMs, auto-encoders, LLMs (such as GPT-4), and graph NNs.

· Working experience with Azure DataBricks & Neo4j.

· Familiarity with data engineering, coding pipelines, data platform development, data governance, master data, and metadata management fundamentals.

· Knowledge of SAP and related ecosystems (e.g., SAP BW) is a plus.

· Comfortable with occasional interactions in the American time zone.

Learning & Development Opportunities:

· Learn and grow in the Supply Chain Digital Transformation.

· Be part of Industry 4.0 initiatives and innovation team.

· Learn from the Analytics Leaders in the Supply Chain domain.

· Opportunity to build a data product community in the Supply chain domain.

This role offers exciting opportunities for personal and professional growth. We look forward to welcoming you to our team!

Bachelor's degree in Computer Science or related field, plus 5+ years of relevant work experience in SNOWFLAKE and DBT Responsible for technical design, writing, support and operations of efficient

scalable and extensible data integrations and ingestions and participate in architecture and design

efforts.

Conduct PoCs for new technology exploration, e.g., DBT for implementing SCD

Understanding of enterprise data management concepts of governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, and data applications

Experience in Snowflake Architecture, including Snow SQL, Performance Tuning, Compute and Storage

Expertise with Snowflake concepts like setting up resource monitors, RBAC controls, virtual warehouses, query performance tuning, zero copy clone, and time travel, and understand how to use these features.

Experience in Data Migration to Snowflake cloud data warehouse

Expertise in using various data sourceslike JSON, Parquet, ORC, etc.

Provide technology architecturalassessments, strategies, and roadmapsfor one or more technology domains.

Collaborate with the customer's operations and technology leadership onthe future analytic goals of theorganization and design a technicalarchitecture to meet those goals.Participate in configuring thearchitecture and advise engineeringteams on its efficient use.

Develop scalable production-ready dataintegration and processing solutions.

Strong oral and written communicationskills and client-facing skills aremandatory.

We are seeking a skilled BI Data Analyst with a strong business mindset and a mix of technical and business skills to join our B2B Sales & Marketing Data Analytics team.

This position offers an exciting opportunity to lead BI initiatives, and leverage data insights to drive business growth and organizational excellence.

Key Responsibilities

· Develop and maintain Power BI reports and dashboards

· Collaborate with business users to gather requirements and convert them into Power BI solutions

· Automate reports to streamline data processes

· Perform data analysis to uncover trends and insights to drive business performance and support decision-making

· Provide Salesforce administration and technical support

Qualifications

· Bachelor's Degree in Computer Science, Statistics, or related field.

· Experience with Power BI development and data visualization

· Strong data analysis skills and ability to interpret complex data sets

· Good business mindset with the ability to understand and align with business objectives

· Experience with Salesforce administration is a plus

· Knowledge of SQL and/or Python programming is a plus

· Excellent communication and collaboration skills

About the Opportunity

This role will support the Corporate Development within Alliance Healthcare Group and its subsidiaries.

What You'll Be Doing

• Data analysis to support business decision-making, strategic development and operational requirements.
• Produce dashboard and reports to provide insights into historical data, trending and predictive trends.
• Support data cleansing.
• Support on Tableau design dashboard.

Key Responsibilities

• Support the data analytics team to provide insights on our data, to identify trends and opportunities.
• Suggest solutions based on these insights to support business decision.
• Develop data mart, data models that can support data analysis to draw insightful information, predictive modelling and trend analysis, enabling us to proactively meet client needs and provide insights for active panel clinics management and portfolio management.
• Design and develop dashboard frameworks and reporting view to achieve efficiency in reporting for routine standard reports.
• Collaborate closely with internal teams to understand insurers’ or clients’ requirements and business agreements, prepare claims analysis, and identify opportunities for improving efficiency of report submission.
• Utilize Tableau and any other provided analytical tools to support the reporting requirements for clients/insurers/brokers.

What We Are Looking for

• Ungraduate in BsC Data Analytics or relevant discipline.
• Ability to use programming languages such as R, Python, SQL and BI tools such as Tableau and Power BI.
• Advanced knowledge with Microsoft Office Suite, especially in Microsoft Excel and use of Macros.
• A good team player, able to work closely with multiple operational functions of the company.
• Written and verbal communication skills.

We regret to inform that only shortlisted applicants will be notified for an interview.

To learn more about our Organization, please visit https://alliancehealthcare.com.sg.

Legal Counsel (Privacy and Data Protection)

What You Will Do:

• Develop and implement data protection and privacy policies and programs to ensure compliance with the applicable data privacy laws and regulations
• Provide privacy support to new product launches and initiatives
• Conduct Privacy Impact Assessments to embed privacy requirements in new scenarios and processes following the principles of “Privacy by Design”
• Manage and follow up with Data Privacy matters, to enable successful navigation and compliance with company policies and applicable Data Privacy laws
• Execute data governance policies and initiatives such as data mapping, data quality and data sharing
• End to end track and manage data access and data subject requests in coordination across business functions
• Keep up-to-date on current and emerging trends and changes in legislation within the area of Data Privacy and applicability to the organization
• Compile and update an organized record of all compliance activities and maintain constant reporting
• Design and implement appropriate training & awareness activities to secure policy adherence and awareness
• Lead or participate other projects within or across departments

What We Are Looking For:

• Education: Bachelor degree or above
  • ExperienceCommon law or EU (any EU jurisdiction) qualified lawyer with at least 3-8 years PQE, including at a law firm or in-house experiences
  • Familiar with data privacy laws and regulations in SG, experience in a data privacy compliance program
  • Good communication skills, excelled in interacting with external parties as well as internal parties
  • CIPP/E, CIPP/US and CIPM certifications are preferred

Regret to inform that only shortlisted candidates will be notified.

www.dadaconsultants.com

EA Registration Number: R1878287

Business Registration Number: 201735941W.

Licence Number: 18S9037

Driven by the passion to improve quality of people’s lives, WS Audiology continues to grow as market leader in the hearing aid industry. With our commitment to increase penetration in an underserved hearing care market, we want to accelerate our business transformation in order to reach more people, more effectively.

We are looking for a business and data analyst to join our sales & operations planning team. You will have expertise in business analytics tools to bridge the gap between business needs and data insights.

What you will do

• Optimize data analytics reporting and tools to support efficient understanding for the demand planning team
• Utilize statistical methods and machine learning for forecasting future product demand
• Analyze demand drivers including seasonality, economic indicators, competitor activity, and product launches
• Monitor forecast accuracy, identify areas for improvement, and refine forecasting models
• Gather and clean data from diverse sources such as sales history and marketing campaigns for accurate analysis
• Maintain and correctly parameterize IBP & PBI data to support integrated business planning.

What you bring

Experience

• Bachelor’s Degree in Business Management, Logistics, Supply Chain, Industrial Engineering, Mathematics or other related studies
• At least 3 years of experience as an analyst in demand, supply planning, logistics, or inventory management in mid- to large-scale international organization
• Proficiency in business analytics tools like Power BI, Tableau, Python, SQL, Excel VBA, or others.
• Exposure to Integrated Business Planning (IBP) and similar tools is advantageous.
• Good understanding of forecast models, supply chain processes, and practices, coupled with proficiency in the Microsoft Office suite.

Personal competencies

• Analytical and problem-solving abilities
• Good communication and interpersonal skills.

Who we are

At WS Audiology, we provide innovative hearing aids and hearing health services.

Together with our 12,000 colleagues in 130 countries, we invite you to help unlock human potential by bringing back hearing for millions of people around the world.

With us, you will become part of a truly global company where we care for one another, welcome diversity and celebrate our successes.

Sounds wonderful? We can't wait to hear from you.

WS Audiology is an equal-opportunity employer and committed to creating an inclusive employee experience for all. Regardless of race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status we firmly believe that our work is at its best when everyone feels free to be their most authentic self.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Statistics and Data Science is seeking a dynamic and versatile Research Assistant who can act as Data Operations Specialist, AI Innovator, and Cloud Architect to play a pivotal role in the Department's digital transformation in education, research infrastructure and administration.

In addition to architecting and managing cloud resources, the selected candidate will be responsible for creating synthetic and sourcing for real-world data, repository management, optimising departmental procedures, and developing complex Large Language Models (LLMs) to enhance data access, summarisation, and search capabilities. This multifaceted role offers a unique opportunity to drive innovation and efficiency across our initiatives in education, research and administration.

Qualifications

• A bachelor’s degree in computer science, mathematics, statistics, or a related field.
• Proficiency in SQL and Python.
• Knowledge of Big Data frameworks.
• Strong analytical skills and hands-on experience with BI tools, including data visualization platforms like Tableau or PowerBI.
• Experience with cloud technologies such as AWS, Azure, or Google Cloud.
• Exceptional communication and teamwork skills for effective collaboration with cross-functional teams and stakeholders.
• Robust analytical and problem-solving abilities to tackle complex architectural challenges.
• Basic project management skills to manage timelines, budgets, and resources efficiently.
• A passion for Machine Learning, especially in the context of Large Language Models like ChatGPT.
• Possession of relevant cloud certifications and experience with DevOps/MLOps practices would be considered an advantage.

WHAT YOU'LL DO

As a data-driven solutions team we are looking for a data engineer that helps us design, build and operate our data pipelines and data storage aspects of our solutions. We are looking for colleagues that are self-driven and don’t shy away from trying new unconventional methods to build new state-of-the-art solutions that bring data to where we need it. Daily tasks include :

• Data pipeline design, data extraction, data quality assurance, data transformation and data pipeline automation.
• You will need to focus on enterprise grade delivery of data pipelines in a compliant way touching data privacy, data protection, anonymization, and compliant software development practices.

WHAT YOU'LL BRING

We are looking for a candidate who possesses a passion for innovation and data-driven solutions paired with a hands-on can-do attitude. The ideal candidate will be a self-motivated expert with a love for delivering quality data sets.

• 0 - 3 Years of experience and a university degree in a technical field.
• Practical data processing skills especially with unstructured text.
• UNIX/LINUX Operating system savvy
• Solid foundation in computer science
• Applied knowledge in Python & Spark
• Experience building and optimizing big data pipelines.
• Creative thinking, willingness, and ability to learn new concepts and technologies.
• Fluent in English, both verbal and written communication skills

MEET YOUR TEAM

We are a Data Science and Technology focused team and we have established a data lake platform used by more than 150 Data Scientist in Service and Support. The team’s mission is to improve, automate, and transform the customer support business of SAP using Machine Learning and Data-driven Innovation.

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.

Job Responsibilities:

1. Responsible for legal support in the overseas operations of a social gaming app, drafting compliance documents, and ensuring compliance in major global markets.
2. Monitor legal regulations and enforcement trends in overseas locations, provide assessments of compliance risks, offer recommendations, and drive implementation.
3. Clearly understand the needs of business departments, providing legal training and advocacy.
4. Establish and improve compliance systems related to company operations in regulatory domains and execute various compliance tasks.
5. Handle litigation, disputes involving overseas entities (Singapore entity), complaints, investigations, and dispute resolutions involving overseas law enforcement agencies.
6. Ensure daily operations of overseas entities comply with local laws and regulations.
7. Participate in legal affairs related to overseas business, such as business negotiations, drafting, revising, reviewing overseas business contracts and commercial agreements, intellectual property layout, and maintenance.

Requirements:

1. Bachelor's degree or above in a legal-related field.
2. 5 or more years of work experience, preferably in the gaming industry.

------------- Send me your resume via WhatsApp ❤

WhatsApp: (https://api.whatsapp.com/send?phone=6592377799)

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

EA Registration Number: R22108564

Data provided is for recruitment purposes only Business Registration Number: 201735941W. Licence Number: 18S9037

Responsibilities:

Assist operations by performing data entry into system and updating when needed

Willing to learn and familiarise the use of relevent programs and tools

Communicate effectively within the team

Filling of documents

Organise and maintain the use of office common area, being tidy

Maintaining the office equiptment and the supplies needed

Requirements:

Past experience are not required but would be benefitial

Proficient with Microsoft Office, mainly Word & Excel, or willing to learn on the job

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processes only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for an experienced Data Manager to oversee the development and use of data systems in ADVANcing Clinical Evidence in Infectious Diseases Network (ADVANCE-ID)

ADVANCE-ID is jointly funded by the Wellcome Trust and Singapore institutions including the Saw Swee Hock School of Public Health and Yong Loo Lin School of Medicine, National University of Singapore. The vision of the Network is to improve public health by developing the clinical evidence base for the prevention and treatment of drug-resistant infections. Its mission is to build and sustain a strategic clinical research network focussed on most efficiently delivering locally relevant interventions for drug-resistant infections.

The Network aims to improve and strengthen clinical research capabilities in the region by acting as a platform to develop good principles and practices. It will stabilise capacity and capabilities to mitigate inefficiencies in trial start-up phase and loss of skillset following study closure, as in typical trial setup. The Network will continuously develop its capabilities, quality and efficiency by learning from and collaborating with other clinical trial networks.

In the long term, the Network aims to support broader infectious disease studies by expanding geographically beyond its original starting point in South East Asia and collaborating with other networks around the world. It will function as an active network that involves patients in platform trials, allowing for rapid clinical research response in the event of an emerging infectious disease or pandemic threat.

The data manager should be a data expert with experience in clinical trial data management and will be working closely with both internal and external stakeholders.

Duties & Responsibilities
• Data Governance: Establishing data governance policies and procedures to ensure data quality, consistency, and integrity throughout the organization.
• Data Collection and Integration: Designing and implementing data collection methods and processes to gather relevant information from various sources.
• Database Management: Overseeing the design, development, and maintenance of databases to store and organize data efficiently. This includes database architecture, data modeling, indexing, and performance optimization
• Data Integration: Combining data from different sources into a single, unified dataset. This involves merging, consolidating, or linking data based on common data attributes or identifiers.

• Data Quality Assurance: Developing and implementing procedures for data validation,data cleansing, and data quality checks to ensure the accuracy, consistency, andcompleteness of data.
• Data Analysis and Reporting: Collaborating with investigators to provide accurate andtimely data for analysis and reporting purposes.
• Data Strategy and Planning: Contributing to the development of data strategies androadmaps aligned with the organization's objectives.
• Collaboration and Communication: Collaborating with cross-functional teams, includingIT, analytics, and business units, to understand data requirements and ensure dataavailability.
• Compliance and Regulations: Keeping up-to-date with data protection regulations,industry best practices, and emerging technologies.

Qualifications

• Experience in clinical trial data management
• Proficiency in data management tools, databases, and programming languagescommonly used in data management.
• Excellent communication and collaboration skills
• BSc or MSc in relevant field

Job Description:

• Collaborate with backend and algorithm engineers to conceptualise and build high-performance and scalable machine-learning solutions
• Develop infrastructure, tooling, and frameworks to contribute to one of the following projects:

1. Vector search and indexing
2. Machine learning model serving
3. Data ingestion and retrieval

Requirements:

• Bachelor's degree in computer science or related technical discipline
• In-depth understanding of computer science fundamentals (data structures and algorithms, operating systems, networks, databases, etc)
• Strong and hands-on experience with at least one of the following programming languages: Go, C++, Java following programming languages: Go, C++, Java

Skills below are optional but preferred:

• Experience in developing and deploying machine learning-related backend services
• Experience in design and development of large-scale distributed systems
• Experience in big data pipelines (Hadoop, Spark, Flink)
• Experience in one or more model serving frameworks (Tensorflow Serving, TensorRT, NVIDIA Triton Inference Server)

Job Responsibilities:

• Design, develop, test and document in-house developed computation-intensive software components that are critical to the core business functions.
• Participate in new system requirements analysis.
• Assist users during User Acceptance Testing.
• Design, implement and monitor data pipelines.
• Assembling large, complex sets of data that meet non-functional and functional business requirements.
• Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
• Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies.
• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition.
• Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues

Requirements:

• Degree in Computer Science or equivalent.
• Minimum 5 years of experience in software development environments
• Proficient in Java Programming Language, SQL, No-SQL
• Proficient in AWS ecosystem is advantageous.
• Strong attention to detail and accuracy
• An analytical mindset with problem-solving skills
• Excellent communication and collaboration skills
• Excellent organizational and time management skills.
• Ability to handle confidential and sensitive information with integrity.
• Adaptability and flexibility to work in a fast-paced, dynamic environment.

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

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 department is responsible for development and maintenance of Capital Market applications used by worldwide users.

“Run the bank” is the first mission of IT department. It involves many front line IT professionals who understand the nature of business operations, timing of activities & data flowing through internal and external systems.They are continuously working with business users, infrastructure engineer and system managers.

The candidate will join the Singapore Capital Market Run the bank team in charge of running application for capital market from Front-Office (Murex, Apex, Orchestrade…), Back-Office (Summit, Calypso…) and Market data referential (Asset Control..), Market Risk applications (in-house application on big data technologies).

It is a great first position to onboard in a IT banking domain, with many fundamental learning of what is the Information System of an investment bank. It provide step by step learning, starting from Level 1 support, then moving to level 2 and finally being part of the continuous improvement ande evolution of new application and process optimization.

Main Responsibilities

Application monitoring responsibilities

• Define and implement in coordination with the build team the needed application monitoring
• Supervise and monitor daily and monthly chains and handle user request by working closely with project, infrastructure and production teams
• Support overnight batches which take place during the Singapore Morning and early afternoon time to ensure that problems are swiftly analyzed and resolved to minimize down-time.
• Process and issue daily, weekly and monthly reporting on data quality of risk chain in which the activity is usually more intense on monthly run.
• Maintain programmable code outlined in technical instructions and specifications for software applications.

Incidents and Requests management (business users and others IT teams)

• Provide level 1 and level 2 application support to the business users (trader, risk manager, market risk monitoring operator, back-office and middle-office analyst, market data administrator,…)
• Analyze and manage incidents/problems/requests coming

Problem management and continuous improvement

• Prepare and maintain knowledge base for each of the application in the scope of the team in coordination with the build team and the ops team
• Collaborate with build team to assess the priority of the problem and follow-up the resolution, even contributing to the definition of long term solution.
• Provide non-functional requirement to the build team to implement monitoring as code whenever available.

The Support analyst should have a pro-active mindset in security, incident preventive measures, productivity and global improvement of the quality of service.

Qualifications and Profile

Mandatory

• Candidates should have 8+ years experience in support activity.
• Candidates should have ITIL knowledge.
• Experience in Software development or Devops team.
• Should be able to do
• SLA & KPI management, client communication & interaction
• Predictive analysis, consulting, escalation management
• Risk analysis and project execution
• Appetite for continuous improvement, out of the box solution and automation mindset
• Strong knowledge in XML, SQL, PL/SQL, MQ Series, CFT and Control-M.
• Knowledge of monitoring solution (E.g ITRS Geneos)
• At least 3-year experience with Jenkins, GIT (GitLab)
• At least 1-year experience in Ansible
• Shell scripting, Perl Scripting (not mandatory)
• Unix Batch creation

Good to have

• Experience with Docker/Kurbernetes
• Experience with Liquibase or equivalent
• General banking and finance understanding and knowledge
• Understanding of trade life cycle, financial products (Treasury, FX, Bonds, Credit, IRD…)
• Exposure to Capital Market FO/BO system (E.g. Summit, Kondor+, Murex…)

Other Professional Skills and Mind-set

• 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.
• Ability to work well under pressure
• Autonomous, self-motivated and excellent team player
• Strong perseverance and diligence towards attaining goals and effective time management

Education Requirements

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

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

Shift Timings:

• Person will have to work in shifts as support is requiring 24/6 Support.

(00:00~9:00) (7:00 ~16:00) (15:00 ~1:00next day)

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

Email: [email protected]

CEI Reg No: R1660732

EA Licence No: 99C4599

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 9 years of software development experience
• At least 7 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)

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

Email: [email protected]

CEI Reg No: R1660732

EA Licence No: 99C4599

The Data Analyst will manage the entire data analysis lifecycle, from requirement gathering to design and implementation. The successful candidate will:

- Develop and improve analysis and reporting capabilities.

- Monitor and evaluate the performance of past projects to identify area for quality improvement.

Responsibilities:

- Interpret data and analyze results using statistical techniques to produce ongoing reports.

- Develop and implement databases, data collection systems, data analytics, and other strategies to optimize statistical efficiency and data quality.

- Acquire data from primary and secondary sources and maintain the integrity of databases/data systems.

- Identify, analyze, and interpret trends or patterns in complex data sets.

- Ensure data quality by reviewing computer reports, printouts, and performance indicators to identify and correct coding issues.

- Work with management to prioritize business and informational needs.

- Identify and define new opportunities for process improvement.

Requirements and Skills:

- Proven experience as a Data Analyst or Business Data Analyst.

- Technical expertise in data models, database design development, data mining, and segmentation techniques.

- Strong knowledge of and experience with reporting packages (e.g., Business Objects), databases (e.g., SQL), and programming (e.g., XML, Javascript, or ETL frameworks).

- Proficiency in statistical packages for data analysis (e.g., Excel, SPSS, SAS).

- Excellent analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

- Adapt at query development, report writing, and presenting findings.

- A degree in Mathematics, Economics, Computer Science, Information Management, or Statistics.

This new role is crucial for leveraging data to drive informed decisions and improvements within our department.

JOB DESCRIPTION

• Manage the end-to-end recruitment process, including job postings, candidate sourcing, screening, interviewing, and selection
• Develop job descriptions, job specifications, and recruitment strategies to attract qualified candidates for open positions
• Coordinate with hiring managers to identify staffing needs, conduct job interviews, and make hiring recommendations
• Provide training and support to managers and employees on performance management best practices, policies, and procedures
• Coordinate training and development initiatives, including orientation programs, skills development workshops, and leadership training
• Identify training needs and priorities based on organizational goals, employee feedback, and performance evaluations
• Ensure compliance with employment laws, regulations, and company policies, and keep abreast of changes and updates in HR-related legislation
• Prepare HR reports and analytics on key HR metrics, such as turnover rates, absenteeism, and employee satisfaction, to inform decision-making and strategy development
• Conduct career advisory workshops/seminars to help job seekers understand the job market better

JOB REQUIREMENTS

• Diploma in any related field
• Excellent organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously
• Proficient in Microsoft office

EA Reg. Number: R21100629

EA License Number: 22C1278

JOB DESCRIPTION

· Generate sales leads

· Build sustainable relationships and trust with clients' accounts

· Provide accurate, valid and complete information

· Meet personal/customer service team KPIs

· Keep records of customer interactions, process customer accounts and file documents

· Follow communication procedures, guidelines and policies

JOB REQUIREMENTS

· Minimum Diploma and above

· Willing to learn and flexibility to adapt to working environment

· Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

JOB DESCRIPTION

· To understand each department’s daily processes

· Job rotation between various departments

· Participate in company events

· Compile analysis and make presentations

· Complete fieldwork and provide evaluation analysis of the company’s services

· Provide support as needed in the various departments

· Report on company progress

· Compile and evaluate performance reports

· Client servicing

JOB REQUIREMENTS

· Minimum Diploma and above

· Willing to learn and flexibility to adapt to working environment

· Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278