Total 4,262 data entry job vacancies in Information Technology category in Singapore

Salary: up to $4500

Working Days & Hours: Mon-Fri office hours

Location: Taiseng

Job Description:

Strong technical ability to solve the machine problem both electrical and mechanical

Knowledge on Heidenhain or Fanuc or Siemens controller

Reporting the customer issue on time & accurate

Knowledge on DieSink function ( Also resumes preferred who has knowledge on automation)

Knowledge of robot and automation

Able to sell & perform PMC and achieve billable service target

Follow up Account Receivable

Job Requirements: Min Diploma in Electrical Engineering or similar

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

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

This is a 12 months contract assigned to our client

Work Location: To be confirmed

Salary Range : $6,000-$7,300

Job Description

1. 5 Years experience Java (Core & Enterprise)

2. Java Application Servers (Tomcat & WebLogic) .NET

3. Well versed Spring, Struts, Sprint Boot framework Hibernate, MyBatis-Plus JPA, REST web services

4. Well versed in Windows, Linux and/or Unix scripting Azure integration IIS

Oracle database (Core DB &PL/SQL), MSSQL

5. Good grasp on security fundamentals/PKI Good knowledge of network fundamentals and issue

investigation Apache Shiro, MapStruct, Ant Design Vue

Scope of work:

1. Development SIT/UAT support

2. Implement micro services and enhancements

3. Production support, bug fixes, and enhancements

4. Support application minor/major upgrade

5. Hardware refresh including sanity test and regression test from system patching and minor/major

upgrade

About Us: We are a Global Group AI team that empowers organization with citizen data scientists and enforces governance to ensure responsible and ethical use of AI. Our team is responsible for developing advanced analytics and machine learning models, and delivering data-driven insights to business leaders across the organization.

Job Description: As a Junior Data Scientist, you will be responsible for creating and implementing complex machine learning models, performing data analysis, and driving insights from large datasets. You will work with stakeholders across the organization to understand their business needs and translate them into data-driven solutions. You will also work closely with citizen data scientists to help them leverage data and build models for their business problems.

Key Responsibilities:

• Develop and implement machine learning models to solve complex business problems, using techniques such as linear regression, logistic regression, decision trees, and other supervised and unsupervised learning models.
• Perform data analysis and create insights from large datasets.
• Work with stakeholders across the organization to understand business needs and translate them into data-driven solutions.
• Collaborate with citizen data scientists to empower them to leverage data and build models for their business problems.
• Enforce governance to ensure responsible and ethical use of data.
• Keep up-to-date with the latest developments in machine learning and data science.

Requirements:

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Actuarial Science or related fields.
• At least 1-4 years of experience in data science or related field.
• Strong knowledge of machine learning algorithms and statistical modelling techniques, especially using Scikit-learn.
• Proficiency in Python, PySpark and SQL.
• Experience with data visualization and reporting tools (e.g. Power BI, QlikSense).
• Excellent communication and problem-solving skills.
• Experience with GenAI solutions and prompt engineering
• 
  

Nice-to-haves:

• Familiarity with actuarial methods and models.
• Experience in MLOps and data pipelines eg, Bitbucket, Artifactory, Jenkins
• Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch).
• Experience with cloud-based services (e.g. AWS, Azure, GCP).
• Knowledge of big data technologies (e.g. Hadoop, Spark).

• Industry/ Service Type: Govt/ Ministry
• Position Title: Project Manager (Data Steward)
• Working Location: Depot Road
• Working Hours: Monday – Friday (office hours)
• Salary: Monthly rated of UP$4,500 (commensurate on experience)

Key Responsibilites

• To identify data quality issues (such as missing, inconsistent or incorrect data, potential structural errors) in company's IT systems
• Conduct data cleaning to address identified data quality issues or make recommendations for structural or any other errors in the data sets, where applicable.
• Facilitate data governance to ensure high data quality across business processes.
• Work with relevant stakeholders to establish and enforce data rules to ensure data integrity, completeness and consistency.
• Assist company in defining data standards and make recommendations for adopting data standard.
• Support the development of data KPI standard.
• Track/monitor data quality, including timely resolution of data-related issues, and enforce compliance according to regulatory requirement.

Job Requirements

• Bachelor’s Degree in with relevant experience (data models, data flows and data sources).
• Basic knowledge of database structures as well as data warehousing and data interface concepts.

Interested candidates please email to [email protected]. We regret to inform you that only shortlisted candidates will be contacted for further discussion.

Afiq Alwi

BGC Group Pte Ltd

Registration Number: R22107714

EA Number: 05C3053

We are seeking a talented GCP Data Engineer based in Singapore. You will be responsible for designing, building, and maintaining robust data pipelines and data solutions on the Google Cloud Platform.

• Strong experience as a GCP Data Engineer, with proven experience in designing and implementing data pipelines and solutions on the Google Cloud Platform.
• Proficiency in GCP services such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Data Fusion.
• Experience in data ingestion, data transformation, and data modeling on GCP.
• Strong programming skills in Python or Java, and experience with SQL.
• Experience with data integration, ETL, and data warehousing concepts.
• A strong understanding of data governance, data quality, and data security.
• Experience with CI/CD pipelines and automation frameworks.
• Excellent problem-solving and troubleshooting skills.
• Effective communication and collaboration skills to work in a cross-functional team.

About Us

Zone IT Solutions is Australia based Recruitment Company. We specialize in Digital, ERP and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic and flexible solutions will help you source the IT Expertise you need. Our delivery Offices are in Melbourne, Sydney and India. If you are looking for new opportunities; please share your profile at [email protected] or contact us at 0434189909

Also follow our LinkedIn page for new job opportunities and more.

Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We welcome applicants from a diverse range of backgrounds, including Aboriginal and Torres Strait Islander peoples, people from culturally and linguistically diverse (CALD) backgrounds and people with disabilities.

We are looking for a motivated, organised individual to carry out specialised data admin tasks as stipulated by management.

This job entails capturing data on a trading software for the purposes of data testing.

Upon completion of the initial training phase, this will be a fully work-from-home position.

No prior experience needed.

Full training will be provided prior to starting actual work.

Incentive bonus pay will be given periodically for excellent work performance.

Job Requirements:

• Careful and meticulous
• Able to work independently
• Disciplined, adhere strictly to start time punctually
• Able to follow detailed instructions accurately
• Familiar with Google Docs and Sheets
• Accurate at capturing data and maintaining complete records
• Prior experience not required. Full training will be provided.

Benefits:

• Fully work from home (after completing initial training phase)
• No requirement to travel to office
• Monday to Friday only
• Regular working hours
• No overtime or weekend work required
• Bonus incentive pay for excellent work performance

Job duties

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Visualise, interpret, and report data findings and may create dynamic data reports as well.

Additional requirements

Candidates should have either (1a) or (1b):

(1a) At least a bachelor’s degree in any of these faculties:

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

(1b) Minimum total three years’ work experience in at least one of these job titles:

• Data engineer

Product Data Quality is a high-value risk management team in Operations that, across all firm divisions, is responsible for the governance programs that ensure critical securities modeling and pricing data is accurate, complete, and scalable.  This data is a critical input and dependency to most trade and client support functions.

Responsibilities

• Prepare to gain a comprehensive understanding of all product types and interact with traders, strategists, and other operations professionals
• Proactively resolve data exceptions, dive deep into technical issues to investigate and fix complex issues spanning multiple teams and vendors, and partner with business partners to analyze and implement solutions for new business reference data needs 
• Partner with a team of global product experts to leverage knowledge to resolving comprehensive reference data problems that involve multiple stakeholders across multiple teams and divisions
• Showcase your attention to detail and ability to master all aspects of product and pricing reference data and further interpret their attributes to all downstream systems which depend on these same attributes
• Develop strong and effective relationships with critical vendors which supply reference data so that they uplift their controls and provide the most pristine product possible to the firm
• Highlight your ideas for improving processes and implement them globally to impact and uplift the entire process
• Work with senior technologists and project managers on key projects that are re-shaping the reference data support model that is utilized across the entire financial industry

• Proven analytical skills, problem solving ability, and a control mentality paired with meticulous attention to detail
• Ability to manage multiple concurrent tasks with dynamic and aggressive deadlines.
• Aptitude for building relationships and ability to communicate complex issues to a wide array of internal clients with differing levels of product experience
• Self-motivated and proactive team player who takes ownership and accountability of projects, has strong organizational skills as well as the ability to effectively manage competing priorities
• Flexible and able to work well under pressure in a team environment
• Self-Direction to effectively prioritize efforts amongst competing demands and escalate issues quickly
• Dynamic analysis skills to help highlight issues with products or business ideas that our partners are facing our could potentially face
• Highly motivated, energetic and confident team player
• Strong communication skills.  Essential for interacting at all levels, across business disciplines and regions
• Ability to multi-task and handle large volumes of work at a fast pace
• Strong time management skills
• Ability both to solve problems and explain underlying issues to non-technical clients and/or colleagues
• Team oriented
• Strong attention to detail
• Good working knowledge of Microsoft Excel

We seek a Data engineer to support our high frequency trading activities and quantitative research. At Grasshopper we recognise that effective research and trading strategies are built upon solid foundations in the collection, storage, and service of data. Grasshopper trades at a number of exchanges globally and we are looking for an experienced engineer interested in working with terabytes of data to join our team.

As a Data Engineer, you are expected to build data pipelines that efficiently and reliably process and transform data captured across various systems as well as to design and implement storage solutions for enabling users to generate valuable signals and insights. You’ll have a chance to work with Google Cloud technologies, Scala, and possibly introduce a new solution yourself if you can make a case for it.

Responsibilities

● Implement, monitor, and maintain data pipelines for market, transaction, reference, and other
data.
● Perform all needed data cleansing and transformation to improve data quality.
● Work closely with traders and researchers to consume and analyze data faster and more
efficiently.
● Deploy new data models that provide insightful and actionable analytics across the firm.
● Manage the entire data processing system and advising of any necessary infrastructure changes.

Skills and Knowledge Required

Attributes
● Thinks clearly, learns quickly, solves problems, and can work with no supervision.
● Asks good questions. Communicates effectively.
● Development experience in more than one programming language, preferably different (e.g.
strongly versus dynamically typed, functional versus object-oriented).
● Familiarity with software development practices. Works well in a team.
● Experience with databases and SQL.
● Experience with stream processing.

Good to have
● Knowledge of electronic trading and tick data
● Knowledge of data modelling and database design.
● Experience of data processing/ETL implementation.
● Experience with distributed systems.
● Experience with messaging middleware such as Solace or Kafka.
● Experience with (NoSQL) databases such as Hadoop, Cassandra

Qualifications

A good degree with a focus on Data Engineering or the equivalent.

Benefits Summary

· + AWS + Variable Bonus

· Mondays – Fridays; 8:30am-5:30pm

· Bukit Batok

· Grab car can claim company as need to go out meet client

Job Description

· Develop a thorough understanding of our complete range of product

· Responsible for preparing quotations, proposal according to customers' requirements

· Plan sales visits, customer calls

· Service existing clients and proactively identify and develop new customers and markets

· Conduct product training and presentation to customers

· Follow up on sales lead, sales orders and deliveries

· Provide application/product support to customers and internal sales team

· Provide post sale and presale application and sales support by analyzing and recommending solutions to meet customer’s needs.

· Using technical skills to demonstrate to potential customers the usefulness of the product and how it may suit the customer better than competing products.

Job Requirements

• Diploma/ Degree in Electronics / Electrical / Engineering/ Industrial/ Mechatronic
• No experience required/ Entry level candidates are welcome to apply
• Passion for automation, with creative and adaptive approaches
• Good communication skill and ability to communicate technical concepts clearly and effectively
• Training on products will be provided.

Please submit your updated resume by using the APPLY NOW BUTTON

By submitting your personal data and/or resume to us in connection with your job application, you will be deemed to have agreed and consented to us in collecting, using, retaining, and disclosing your personal data and/or resume to prospective employers for the purpose of the evaluating, processing and administration by company relating to this job application.

*We regret to inform that only shortlisted candidates would be notified*
We wish you all the best in your career search.

You are welcome to visit our website at http://www.rkgroup.sg/

RK Recruitment Pte Ltd | EA License No.: 20C0280

TANG WEI SHEN | EA Personnel No.: R23115252

Our client, a top-tier global investment bank, is looking for a data BA to deliver enterprise-level data projects for different business lines. Successful candidates will gain broad front-to-back office exposure, from trading/ clearing to regulation/ compliance and security/ risk.

Responsibilities:

• Gain a comprehensive understanding of various product types and collaborate with traders, strategists, and other operations professionals.
• Resolve data exceptions proactively, investigating and fixing complex issues that involve multiple teams and vendors.
• Collaborate with business partners to analyze and implement solutions for new business reference data needs.
• Work with a global team of product experts to address comprehensive reference data problems that involve multiple stakeholders and divisions.
• Cultivate strong relationships with critical vendors to improve data controls and ensure the highest quality product.
• Identify and implement process improvements globally to enhance the entire data governance process.
• Collaborate with senior technologists and project managers on key initiatives that shape the reference data support model used in the financial industry.

Requirements:

• 2-4 years of data-related regional project experience in an enterprise setting
• Strong understanding of at least 1 financial product, including equities, fixed income, FX, commodities, derivatives, etc.
• Excellent relationship-building skills and the ability to communicate complex issues to internal clients with varying levels of product knowledge.
• Proactive and self-motivated team player
• Proficiency in Microsoft Excel. SQL/ Python knowledge is a plus.

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: 22S1136) 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)

The role of a Lead Data Scientist specializing in Large Language Models (LLM) for financial applications involves a combination of technical expertise in machine learning, natural language processing (NLP), and domain knowledge in finance.

Job Title: Lead Data Scientist (Large Language Models)

Responsibilities:

1. Develop Large Language Models (LLM):Lead the development and implementation of cutting-edge Large Language Models for financial applications.
   Utilize state-of-the-art NLP techniques to process and analyze large volumes of financial data.
   
2. NLP Solutions for Risk Management:Collaborate with risk managers to design and implement NLP solutions that assist in identifying and assessing potential risks in financial datasets.
   Leverage LLMs to extract insights from unstructured data sources and enhance risk prediction models.
   
3. Portfolio Management:Work closely with portfolio managers to develop language-based algorithms that aid in portfolio construction, optimization, and decision-making.
   Implement sentiment analysis and other NLP techniques to analyze financial news, reports, and social media for impact on portfolios.
   
4. Algorithmic Trading Support:Collaborate with traders to build NLP-driven models that can identify trading opportunities and optimize algorithmic trading strategies.
   Implement real-time analysis of market news and social media to influence trading decisions.
   
5. Data Preprocessing and Feature Engineering:Lead the preprocessing of financial text data, including tokenization, stemming, and other NLP techniques.
   Develop innovative feature engineering strategies to enhance the performance of LLMs for financial applications.
   
6. Model Evaluation and Optimization:Design and implement rigorous evaluation metrics for assessing the performance of LLMs in financial tasks.
   Optimize model hyperparameters and architectures for improved accuracy and efficiency.
   
7. Cross-Functional Collaboration:Collaborate with cross-functional teams including data engineers, software developers, and domain experts to integrate LLM solutions into existing systems and workflows.
   Provide guidance and expertise to other team members.
   
8. Stay Abreast of Industry Trends:Keep abreast of the latest advancements in LLMs, NLP, and machine learning within the finance domain.
   Propose and implement new technologies and methodologies to enhance existing models.
   

Qualifications:

• Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or a related quantitative field.
• Proven experience developing and implementing Large Language Models, with a focus on financial applications.
• Strong expertise in NLP techniques and frameworks.
• Proficiency in programming languages such as Python and experience with relevant libraries (e.g., TensorFlow, PyTorch).
• Solid understanding of financial markets, risk management, and portfolio optimization.
• Excellent communication skills to effectively convey complex technical concepts to both technical and non-technical stakeholders.
• Experience leading and mentoring a team of data scientists.

Preferred Skills:

• Previous experience in algorithmic trading or quantitative finance.
• Familiarity with cloud computing platforms (e.g., AWS, Azure).
• Knowledge of distributed computing and big data technologies.
• Publications or contributions to the research community in the areas of NLP or machine learning.

We are looking for Big Data Developers in the vibrant city of Singapore. This is a fantastic opportunity for someone who is passionate about big data and wants to take their career to new heights.

• Minimum of 5 years of experience as a Big Data Developer
• Strong knowledge and experience with Big Data technologies such as Hadoop, Spark, and NoSQL databases
• Proficient in data ingestion, data processing, and data transformation
• Solid understanding of data modeling and database design
• Experience with programming languages like Java, Python, or Scala
• Hands-on experience with cloud platforms like AWS or Azure is a plus
• Excellent problem-solving and analytical skills
• Effective communication and collaboration abilities
• Ability to work independently and in a team environment
• Bachelor's degree in Computer Science or a related field

About Us

Zone IT Solutions is Australia based Recruitment Company. We specialize in Digital, ERP and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic and flexible solutions will help you source the IT Expertise you need. Our delivery Offices are in Melbourne, Sydney and India. If you are looking for new opportunities; please share your profile at [email protected] or contact us at 0434189909

Also follow our LinkedIn page for new job opportunities and more.

Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We welcome applicants from a diverse range of backgrounds, including Aboriginal and Torres Strait Islander peoples, people from culturally and linguistically diverse (CALD) backgrounds and people with disabilities.

Position: Assistant Manager, Collibra Data Governance
Employment Type: Permanent
Location: Central

This role demands a seasoned professional with a strong technical acumen, particularly in the realms of Collibra and Databricks, coupled with a proven history of successfully implementing large-scale data projects.

The ideal candidate should exhibit a comprehensive understanding of data governance processes and be adept at fostering collaboration across teams to enforce rigorous data quality standards. Exposure to Asset Management operations is considered advantageous, providing a more comprehensive perspective on data governance within the financial sector.

Responsibilities:

• Play a pivotal role within the Data & AI team, fostering the integration of Collibra across our client's diverse Local Business Units (LBU).
• Establish and rigorously enforce data quality standards to guarantee unwavering consistency and precision, working collaboratively with cross-functional teams.
• Act as a distinguished Collibra Subject Matter Expert (SME), addressing intricate data quality issues and actively contributing to continual enhancements.
• Craft and maintain meticulous documentation on data quality policies, procedures, and optimal practices within the Collibra framework.
• Conduct training sessions for users on Collibra tools, cultivating a culture of awareness and adherence to well-defined data quality standards.
• Contribute significantly to the overarching data governance framework, ensuring steadfast compliance with rigorous data quality standards.
• Collaborate seamlessly with data stewards, instilling a sense of data ownership in quality-related matters and ensuring the meticulous execution of data quality policies.
• Maintain a close working relationship with Collibra as a vendor, adeptly resolving technical platform issues through coordination and solution-oriented approaches.

Job Requirements:

• Possess a minimum of 4 years of hands-on experience with the Collibra Data Quality tool and Databricks.
• Showcase robust technical prowess in data, underscored by a track record of successfully implementing large-scale projects.
• Prior experience in developing data governance processes is considered a notable advantage.
• Demonstrate a profound understanding of integration mechanisms between applications, particularly concerning lineage and metadata harvesting.
• Prior exposure to Asset Management operations is a valuable asset.
• Essential experience in Data Governance processes to ensure Collibra seamlessly aligns with defined process requirements.

If keen, kindly forward your CV to [email protected]

Tangspac Consulting Pte Ltd
#03-02 The Octagon, 105 Cecil Street, Singapore 069534
EA Personnel Name: Olsem Stefanus Emmanuel
EA License: 07C3635 | EA Registration: R2094432

Job Highlights

• Hybrid Work Arrangements & Work Life Balance
• Fun Working Environment & Attractive Benefits Package
• Career Development Within a MNC Company

Job Description

As the leading analytics provider in APAC and part of our Company's growth, we are looking for dynamic, motivated, and dedicated individuals to be part of our team in Singapore. If you have the right skill set, driven, willing to learn and demonstrates a can-do attitude, come join us ! We welcome candidates of all levels.

Responsibilities

• Deliver end-to-end Business Intelligence, Analytics and Data Management solutions to customer
• Provide product and application support and maintenance
• Support sales and pre-sales team

Requirements

• Diploma/Degree in Computer Science, Information Technology, Business Analytics or equivalent
• Relevant experience in Business Intelligence, Analytics, Data Management or equivalent
• Experience in ETL development tools or equivalent (e.g. Talend, Qlik, SAP Business Objects Data Services)
• BI tools such as Talend, Qlik, Power BI, SSIS, Tableau, Oracle BIEE
• Extensively worked on creating data models using dimensional modelling techniques.
• Knowledge of relational database concepts and SQL in Oracle/MS SQL Server
• Relational database concepts and SQL knowledge
• Independent and good team player who takes initiative and engages their colleagues
• Ability to communicate with clarity and confidence with colleagues and customers
• Likes technology, taking initiative to learn more and share knowledge within the team

Knowledge in any of following tools or technologies are not mandatory but will be an added advantage:

• Data Science Platforms e.g., SAS, Dataiku, RapidMiner
• Python/R Programming
• Cloud and network concepts
• Databases such as MariaDB, MySQL, PostgreSQL
• Programming languages such as Java, Python, ASP.Net with C#.Net or VB.Net
• AWS, Azure or Google Cloud Platform services and products

Position: Collibra Data Developer, Data Quality
Employment Type: Permanent
Location: Central

Responsibilities:

• Act as an integral member of the Data & AI team, ensuring the delivery of high-quality data on our client's proprietary cloud-native Data & AI platform.
• Develop and maintain data quality modules to establish automated tracking and pre-emptive alerting mechanisms, aligning with governance principles.
• Collaborate with stakeholders to define procedures and rules for data validation and quality metrics, fostering a culture of data excellence.
• Formulate and execute plans to enhance data quality, identifying the root causes of errors and discrepancies and proposing effective solutions.
• Create Data Quality health reports for stakeholders, providing a transparent view of data reliability across the entire platform.
• Implement best practices in software development, including Agile, DevOps, and CI/CD, to accelerate delivery, break down cultural barriers, and advocate for automation tools driving build and test processes.
• Document work and new procedures comprehensively, ensuring colleagues can interpret and replicate the work seamlessly.
• Deliver consistently accurate, high-quality work, communicating findings and insights in a clear and compelling manner.

Job Requirements:

• Possess a minimum of 3 years of hands-on experience with the Collibra Data Quality tool and Databricks.
• Demonstrate strong technical skills in data and database management, with proficiency in data wrangling, analytics, and transformation using Python and SQL.
• Exhibit proficiency in visual storytelling through data visualization techniques.
• Experience in implementing data projects or change management is considered an advantageous asset.
• Possess a CFA Level 1-3 certification or a solid understanding of asset management, providing an added advantage.
• Asset Management experience is beneficial for comprehending and recommending the necessary data quality rules and remediation plans to stakeholders.

If keen, kindly forward your CV to [email protected]

Tangspac Consulting Pte Ltd
#03-02 The Octagon, 105 Cecil Street, Singapore 069534
EA Personnel Name: Olsem Stefanus Emmanuel
EA License: 07C3635 | EA Registration: R2094432

Downtown area/ Changi (outsource- to be discussed during interview)

$2000 - $2200

5 days 8am – 5pm / 9am – 6pm (either one)

Job description:

• Entry of data into web portals and spreadsheets (90% of time)
• Support sustainability projects/initiatives on sites (10% of time)

Requirements:

• Min ITE
• With admin experience
• Familiar with Microsoft Office

Cheah Khai Yeen (Catherine) Reg No : R1986405.

The Supreme HR Advisory Pte Ltd EA no: 14C7279

Data Analyst

Position Type: Contract deputed to Client | Work Location: Central

• Involved in feature creation to enrich reusable assets.
• Involved in providing ad hoc analysis, insights, and building and maintaining programme scripts.
• Have the ability to use different analytics tools and platforms like SQL, Python, Sparks. etc.
• Basic proficiency in statistical analysis, data mining, machine learning and working with large scale datasets.

Almira | Recruitment Consultant

Email: [email protected]| Office Telephone: +65 64299403

EA Personnel Registration Number: R22111126

Singapore Employment Agency Licence No: 11C3373

Responsibilities:

• Gather, analyze and formalize operation team’s data, prepare monthly and quarter report and process.
• Communicate with operation managers, customer support, business owners and other stakeholders to gather operation data on daily/monthly basis.
• Data analysis, data-base creation, and management, for easy trace of all operation data and report generation.
• Actively coordinate within team, cross-function team within company and 3rd party suppliers for data preparation.
• Familiarise with operation procedure and identify and implement process improvements.
• Plan and schedule the training for members within the department.

Leadership

• Provide leadership and collaboration within and cross functional teams.
• Take initiative, work independently, enjoy working in a challenging environment and make a difference.
• Proactively involve in self-learning and practical exposure for continuous competence and productivity improvement
• Maintain high level of personal leadership on work performed as well as documentations.
• Willingness to undertake other duties as and when required such as Ad-hoc task as assigned by supervisor.

Requirements:

• Minimum 1-3 years of relevant work, especially in data analysis. Relevant experience from the financial, forex or fintech industry will be an advantage.
• Good communication and interpersonal skills.
• Strong self-discipline with initiative and learning spirit with positive attitude, team work and responsibility.
• Effective spoken and written communication in English and Mandarin in order to communicate with teams globally
• Strong ability and capability in self-learning and problem solving.
• Highly driven and resourceful individual with strong critical thinking, task priority, time management and organization skills, able to handle multiple task and timelines under pressure.
• Good Excel (with VBA), PowerPoint or other software, Power BI and data analysis skills to help out with group report and presentation slides is a must; Python, SQL, Power Query and ML Tableau are preferred.
• Must have experience in PowerBI Management

Benefits:

• AWS 13 Month Bonus
• Annual Performance Bonus
• Competitive Remuneration Salary Package
• Fixed Monthly Mobile Allowance
• Flexible Employee Health Benefits Scheme (Purchase for Gym Membership/Spa/Hotels/Flight/Electronic Devices)
• Insurance & Dental Plan
• Bi-Monthly Company Sponsored Tea Break
• Quarterly Department Team Building
• Quarterly Company Team Building
• Accessible Working Location (5-8 mins walk from Chinatown/ClarkeQuay/CityHall MRT)
• Employee Engagement, Recognition and Career Development Program

Job Summary:

• Industry: Facility Management
• Location: Buona Vista
• Working hours: Monday to Friday, 9 am to 6 pm

Job Responsibilities:

• To handle important FM engineering management in the data centre.
• To be responsible for all Planned Preventive Maintenance (PPM) activities
• To manage support fire protection and suppression system, electrical system, water detection system, DCIM, ACMV, genset, etc.
• To be responsible for all security systems, CCTV and card access.
• To handle asset management for DC.
• To manage annual building power shutdown.
• To manage DC shutdown script and ensure all testing and maintenance are conducted orderly.
• To be the first line of escalation point 24x7 under MSL for all critical alarms and equipment
• To manage and raise incident reports.
• To manage lifecycle replacement/sustainment plan to mitigate any risk or breakdown.
• To support and execute all DC projects, including but not limited to delivering and ensuring that all incident reports are recorded.
• To raise, review, and approve all work orders, risk assessments, and method statements
• To follow up and submit quotations for any break-fix and enhancement works.
• To ensure licence renewal
• To be the liaising point with building management for building infra-supporting MSL.
• To support all site work requests when called upon

Job Requirements:

• Candidate must possess at least NITEC/Higher Nitec/Diploma in Engineering/Building
• Candidate must have relevant Data Center Environment experience
• Candidate must be able to start work immediately

By submitting an application or your resume, you are deemed to have consented to Elitez Pte Ltd collecting, using and disclosing your personal data for the purposes stated in our privacy notice (www.elitez.asia/privacy-policy/). You acknowledge that you have read, understood, and agree with the terms in our privacy notice.

We regret that only shortlisted candidates will be notified.

Registration No: R23113834

Responsibilities:

·Plan, execute, monitor and assist in the installation and ongoing support and maintenance of all hardware, software and networks in project delivery

·Conduct root cause analysis & implement pro-active measures

·Responsible for supporting operational systems satisfying contractual Service Level Agreement

·Perform and manage routine preventive maintenance and operational activities promptly and effectively

·Perform troubleshooting and fault rectification

·Provide up-to-date project documentation and reports

·Diagnose and rectify technical issues

·Perform standby duties if required

Requirements:

·Experience in Windows server OS, Unix/Linux OS & virtualization environment (VMware, HyperV etc.)

·Strong troubleshooting skills and analytical mind with problem-solving aptitude

· Excellent written and verbal communication to convey technical ideas to both technical and non-technical audiences and contribute within a team environment

·Pro-active, dynamic and with good analytical/conceptual thinking

·Able to work independently as well as in a team and good interpersonal skills

·Good Working knowledge with VPN, firewall appliances would be an advantage

·Good working knowledge with routers, switches would be an advantage

·Good working knowledge in hardware like servers, storage area networks (SAN), network-attached storage (NAS) devices

•Experience in hardening of OS, system and network equipment

•Experience in Patch Management

•Good Knowledge of IT Infra services like Active Directory, DHCP, DNS, Exchange/Mail Service, Database, Web or App Server etc.

·Entry level candidates are welcome. Candidates with more/ complexity of experience will be considered for a senior role.

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, 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 architecture and design.

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 reportings (MIFID 2 , SFTR , MAR etc). The Data Framework team is looking for a development expert on big data technologies to evolve the platform to ingest market data, RFQ (Cross Asset) and distribute data via APIs. The project milestones are ambitious and challenging. The position is ideal for someone with a strong interest in data processing and data science.

Main responsibilities

• Able to conceptualize, propose technical design.
• 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.
• 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 and Profile

• At least 6 years of software development experience with at least 4 years’ experience working with Java
• A strong understanding of recent Java language features.
• 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 Junits/integration tests , BDD.
• At least 5 years of experience with Sql Server or any other RDBM
• Experience in database performance tuning and optimizations

The candidate would need to possess the below skills/expertise

• Java 8 development with multi-threading principles, good knowledge of Java,Spring, Spring Boot, Micro service Architecture, Hibernate or any other ORM framework, Design Patterns, Data structures and objects.
• Apache Storm/Flink/Spark
• Knowledge on AWS is good to have.
• Parrallel processing of the message transformation pipeline to fPML, Json and key/value
• Experience of working with large scale Sql Server database, PostgresQL.
• Kafka publishing/distribution primarily + MQ (optional)
• Microservices based technology. Defining APIs and registering APIs in the service catalogue.
• Systematic dictionarization of services in Collibra good to have.
• APIs and functions, taxonomy of attributes in intefaces (Swagger)
• Knowledge on Docker and Kubernetes (Good to Have).
• Experence in Performance Tuning and optimizations
• Experience with Jira/other issue tracking system.
• Agile methodology(Scrum/Kanban)
• Knowledge on cucumber, Bamboo

Other Professional Skills and Mind-set

• Excellent communication (wriiten and verbal) and interpersonal skills across all levels with demonstrated ability to influence different stakeholders.
• Strong analytical and problem solving skills
• Proficient in software development life cycle
• Autonomy to include implicit deliverables in assignment based on best practices
• Appetite to participate to technical market trends and communities
• Strong sense of confidentiality

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

• Collaborates effectively with both client and internal teams across Southeast Asia and India to identify specific client needs, business outcomes, and priorities that can be achieved or supported by data-driven marketing products and services developed by the data, tech and tools team.
• Converts the desired business outcomes and priorities into high potential use cases for increased data maturity, crafting client-facing proposals for use case implementation, including scope, feasibility, dependencies, and roadmaps.
• Operates as a 'data translator' - liaising with non-data experts in the wider teams to connect their priority outcomes to the art of the possible, in a way that enables client understanding of the value add from data, tech and tools.
• Develops an expert understanding of the current and potential future state of client's data, tech & tools landscape, to understand both opportunity areas and obstacles that need to be overcome.
• Incorporates outcomes from ex-Asia data, tech and tools market readiness assessments (that give a snapshot of current 1st and zero party data maturity, availability, and connections to 2nd and 3rd party sources, martech setup, audience segmentation, channel preferences, and local pharmaceutical market regulations) into locally relevant use case definition to maximize feasibility and scaling across the region.
• Adopts a cross-functional approach to data strategy that considers the omnichannel customer journey, experience mapping, and optimization, the role of paid, earned and owned media insights in developing customer understanding and segmentation, strategies for capture and enrichment of customer data, taxonomy strategy, and developing marketing effectiveness frameworks that link marketing activity to commercial outcomes.

Data Center Facility Engineer - For Largest SG Bank (NTT DATA)

The candidate will oversee the efficient operation of our data centre and remote building facilities " Min 3 + years - Operate and maintain mechanical and electrical, mechanical, emergency generator, HVAC and fire/life safety equipment within the data center

+Data Center Facility Engineer with 5+ years' experience, overseeing mechanical/electrical systems, ensuring data center security, and generating management reports.

+Proficient in high-pressure environments, managing 24x7 on-call duties, incident handling, and ITIL-based management procedures.

+Skilled in vendor coordination, multitasking, Microsoft Office, and possessing strong communication skills within financial institution data center operations.

1. Possess good knowledge of data centre operation tasks and duties.

2. Liaise with DC/Building landlord to ensure optimal operation of electricity, HVAC and monitoring environments within Mission Critical IT facilities in Data Centre and remote buildings.

3. Strong ability to support activities in data centre and computer rooms

4. Ensure data centre physical security procedures are followed strictly.

5. Prompt escalation of incidents following the standard incident response procedure & track till closure

6. To generate reports to management

Requirements

1. Minimum 5 years Data Centre facility experience preferable in a team.

2. Experience working in a high-pressured environment with 24x7 on-call responsibilities

3. Strong understanding of incident, problem and change management procedures based on ITIL best practices

4. Experienced in supporting Data Centre vendors, out-sourcing vendors.

5. Ability to multi-task and proficient in Microsoft Office applications; Excel & PowerPoint

6. Good written and verbal communication skills

7. Highly motivated and self-driven

8. An analytical and inquiring mind to derive innovative solutions.

9. Ability to work independently and in a team

10. Must have experience working in data centre operations in financial institutions.

11. Familiarity with equipment requirements in Data Centre such as storage, servers and networking equipment such as routers, switches is a plus.

12. Familiar with Structured Cabling system and its related components.

• Work with Business Stakeholders, Project Managers and Technology teams to assist in the implementation and maintenance of data projects.
• Work with business stakeholders to understand business requirements and translate business requirements into data requirements.
• Conduct data mapping workshops with technology teams and business stakeholders to source for required data.
• Create validation datasets for business stakeholders to ensure requirements are met.
• Provide ETL team with clear understanding of data mapping and discuss on potential code optimisation.
• Work with business stakeholders to come up with data quality rules.
• Engage with both business and technology stakeholders during testing, driving defect investigation and resolution.
• Support change requests by assessing impact on downstream processes and driving required changes in mapping.
• Support documentation of data-related artefacts required for compliance with data governance.

Key Requirements:

• Good communication skills and experience in collaborating with different team members from business and technology.
• Good understanding of enterprise applications, business processes and business requirement analysis.
• Analytical, detail-oriented, ability to manage timelines and adapt to project needs.
• Work experience in regulatory reporting projects such as IFRS 4, IFRS 17, BCBS 239 etc. is added advantage.
• Advanced proficiency in SQL, or any other data querying language.
• Advanced proficiency in Microsoft Excel.
• Proficient knowledge of Tableau, Power BI, or other business intelligence tools.