Looking for somewhere fun, supportive where you can grow, develop and make a impact? Well, check us out!

We are a leading marketing and sales company in S.E.A, that works with both national and international MNCs, to help them boost their brand awareness and market shares.

What we do:

• Increase brand awareness and market share of our client
• Develop your communication skills
• Build your leadership capabilities

Benefits:

• Travelling opportunities to different markets eg Taiwan, Hong Kong, US, Australia, KL (based on performance)
• 1 to 1 mentorship and guidance
• Personal development workshops

Who we are looking for:

• Hardworking individuals
• Great learning attitude

Are you the one we are looking for? Apply now to get started!

Job Description:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• At least 8+ years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Deep Learning, Machine Learning, and Statistical Analysis
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.

Key Responsibilities:

• Refine data collection/consumption by migrating data collection to more efficient channels.
• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.
• Develop test plan and scripts for system testing, support user acceptance testing.
• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.
• Ensure the smooth operations and service level of IT solutions.
• Support production issues - Track record in implementing systems with high availability, high performance, high security.

The Talent:

• Good understanding and completion of projects using waterfall/Agile methodology.
• Good understanding of analytics and data warehouse implementations.
• Strong experience in Cloudera implementations and administration
• Strong knowledge on CDP, CDH and HDP
• Ability to troubleshoot complex issues ranging from system resource to application stack traces.
• Strong SQL, data modelling and data analysis skills are a must.
• Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.
• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
• Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred.
• Understanding/ Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required.
• Passion for automation, standardization, and best practices
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.

We regret that only shortlisted candidates will be notified.

Please kindly send in your updated CV (please include your current salary package with full breakdown and expected salary) to [email protected]. Your interest will be treated in strict confidence.

People Profilers Pte Ltd

DID: 6950 9738

http://www.peopleprofilers.com

Lim Yi Tian, Candy

EA License No. 02C4944
Registration No. R1109829

Job Scope:

• Enter patient’s information & order laboratory tests into the Laboratory Information System (LIS).
• Recognize & correct inaccurate or missing information on the laboratory requisitions
• Communicate with clients, co-workers & management.
• Perform other duties, e.g. assists with specimens reception, as assigned.

Work Week: 5.5 Days

Working hours: 1pm – 10pm (Mon – Fri)

1pm - 4.30pm (Sat)

Interested candidates, kindly send a copy of your resume to:

[email protected]

Jessica Fong Zhi Tong [R1879124]

Email Address: [email protected]

Recruit Express Pte Ltd

EA Licence No: 99C4599

• Scanning of the lab request form do indexing pack to crown box
• Enter information into the system
• Checking and verifying of information
• Checking of the request form
• Other ad-hoc duties

Requirements

• Work Week: 5.5 Days
• Working hours: 1pm – 10pm (Mon – Fri)
• 1pm - 4.30pm (Sat)
• Possess at least a GCE O levels or A Levels
• Meticulous.

For interested candidate, please email your resumes to [email protected]

Denyse Nicole Tan Shuqin (#HDT)

Recruit Express Pte Ltd

CEI No: R1333503

Company EA license : 99C4599

At EY, we develop you with future-focused skills and equip you with world-class experiences. We empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.

We work together across our full spectrum of services and skills powered by technology and AI, so that business, people and the planet can thrive together.

We’re all in, are you?

Join EY and shape your future with confidence.

About the opportunity

EY AI & Data is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors. We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real-life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region. We are looking for a Data Analyst within the AI & Data team in our Singapore office. This role is offered on a flexible full-time basis.

Your key responsibilities:

• Collaborate with cross-functional teams to gather requirements, define data-related technical issues, and provide solutions.
• Create informative and interactive dashboards and reports in Power BI, Qlik or similar tools to meet the needs of the business.
• Write advanced SQL queries for data manipulation and retrieval from relational databases.
• Develop and optimize data models within the dashboarding tool for reporting and analytics.
• Perform data extraction, transformation, and loading of large and complex data sets from various source systems.
• Ensure data quality and integrity by implementing data validation and testing within ETL processes.
• Monitor ETL jobs, troubleshoot any issues, and perform performance tuning to improve data processing.
• Stay current with the latest technologies and best practices in data engineering and business intelligence

Skills & attributes for success:

• Experience of data-driven organizational transformation supported by data insights and good story telling
• Experience in business intelligence, data warehousing/platform, or data strategy projects
• Experience in ETL development and Data Analysis
• Knowledge and experience in data governance, data security, and privacy practices
• Exceptional communication, documentation and presentation skills and stakeholder management experiences

To qualify for the role, you must have

• Bachelor’s degree in Computer Science, Information Technology, or any related field.
• Minimum of 1 year of experience as a Data Analyst with experience in ETL development and data warehousing.
• Prior experience with Azure Data Factory, including building and optimizing data pipelines, is preferred.
• Strong proficiency in writing and optimizing SQL queries.
• Expertise in popular commercial BI tools, such as Power BI, Qlik.
• Familiarity with data governance, data security, and privacy practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills to work effectively with both technical and non-technical team members.

Ideally, you’ll also have

• Dashboarding experience with Power BI, Qlik or equivalent tools
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we look for

Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you’ll be a confident team player that collaborates with people from various teams while looking to develop your career in a dynamic organization.

What working at EY offers

EY offers a competitive remuneration package where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements. Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

Company description

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

All in to shape the future with confidence.

Summary: To deliver projects, enhancements and support BAU as an IT Business Analyst throughout the entire lifecycle, working closely with various stakeholders from Business and IT.

Responsibilities

• Gather, document and analyze user requirements.
• Estimate, plan and track all user requests.
• Clarify requirements and manage scope and stakeholder’s expectation.
• Liaise with source system SMEs to understand the business logics of the data and translate them into Source to Target Data Mapping document.
• Analyze source data and provide inputs on the handling of data anomalies.
• To work closely with the various Business and IT stakeholders to deliver projects, enhancements and day-to-day BAU activities.
• Prepare SIT test plan, write and execute SIT test cases and test scripts, manage defects and support UAT.
• Highlight and report any potential risks.

Skills Requirement

• Bachelors Degree in Computer Science/IT /Engineering/related discipline.
• 5-7 years of experience as a business analyst in building a Data Warehouse or Data Mart, ideally for Banking/Insurance domain.
• Ability to write complex SQL scripts, test cases and perform high quality testing.
• Strong analytical and communication skills.
• Good attitude and self-driven, able to plan and execute projects/deliveries with minimal supervision.

Data and Computational Science (DCS) is a newly established computational hub within National Cancer Centre of Singapore (NCCS) which focuses on leveraging data analytics and computational methods to advance cancer research and treatment. DCS features high-powered computing resources capable of processing ‘big data’ profiles and running advanced interpretable machine learning algorithms and robust statistical techniques. DCS offers in-house and centralised solutions for NCCS researchers who require computational analysis without the need to buy specialised equipment or contract with third party vendors. DCS aims to maximise the efficiency of data processes and accelerate research outcomes. With access to national level medical data spanning clinical, imaging and omics datasets, our efforts are concentrated on harvesting the innate value of these rich datasets to improve cancer patient care and treatment delivery through the production of world-class research.

You will provide support and insights for DCS core multi-omics research and big data analysis computing infrastructure that focus on using next-generation sequencing (NGS), radiological imaging and other multi-modal datatypes to develop biomarkers predictive of clinical responses in cancer patients. You will be expected to wrangle and optimise large datasets and execute complex parallel computational pipelines to better understand the complexity of cancer progression and treatment resistance across multiple cancer types.

Key Responsibilities:

- IT Infrastructure Design: Develop strategic IT infrastructure plans (hardware, software and network) that ensures scalability, security, and performance.

- IT Infrastructure Procurement: Source and liaise with vendors in procurement of the IT infrastructure to support the team's expansion needs.

- IT Infrastructure Maintenance: Monitor system performance, identify and resolve bottlenecks or issues, ensuring minimal downtime. Apply software updates and patches. Backup data to prevent data loss.

- Data Integration and ETL: Design, implement and maintain data processing pipelines for ingesting, transforming, and loading data from various sources. Implement and optimise ETL processes for efficiency and reliability.

- Security and Compliance: Define computing resources and data access controls, encryption, and authentication mechanisms. Ensure compliance with data privacy regulations (e.g., GDPR, PDPA, APAC Data Laws etc.) and organisation structures.

- Collaboration: Work closely with Principal Investigator, Clinicians, Data Scientists, Researchers and stakeholders to understand data requirements. Collaborate with other IT team members to support data initiatives and maintain a consistent, high-quality data delivery architecture across projects.

Job Requirements:

- Bachelors degree or higher in a relevant STEM discipline.

- Knowledge of production data pipelines, especially in a bioinformatics or clinical healthcare setting.

- Familiarity with Linux or other Unix flavours, preferably as an administrator/superuser and server maintenance.

- Familiarity with data security and access control measures.

- Strong programming expertise in at least one major language (e.g. Bash, Python, R, C/++, Rust).

- A keenness in incrementally designing, building and testing software components to ensure correct end-to-end running of primary production pipelines.

- A keenness to continually learn and integrate new tools and parameters to keep up with industry best practices, adapting them to local needs.

- Ability to independently plan and execute data analysis and ad-hoc projects, in collaboration with teammates and external parties.

- Strong organisational, interpersonal and presentation skills.

- Familiarity with pipeline management systems (Nextflow, Snakemake, CWL, WDL).

- Familiarity with job schedulers (SLURM, PBS, SGE, LSF).

- Familiarity with container/virtualization systems (Docker, Singularity, Podman, Kubernetes).

- Familiarity with multimodal datatypes (e.g. Polars, Arrow, vector DBs and column-stores).

- Interest in optimising GPU workloads and Large Models.

- Interest in front-end and back-end development for data analytics and parallel computation.

Summary: To deliver projects, enhancements and support BAU as an IT Business Analyst throughout the entire lifecycle, working closely with various stakeholders from Business and IT.

Responsibilities

• Gather, document and analyze user requirements.
• Estimate, plan and track all user requests.
• Clarify requirements and manage scope and stakeholder’s expectation.
• Liaise with source system SMEs to understand the business logics of the data and translate them into Source to Target Data Mapping document.
• Analyze source data and provide inputs on the handling of data anomalies.
• To work closely with the various Business and IT stakeholders to deliver projects, enhancements and day-to-day BAU activities.
• Prepare SIT test plan, write and execute SIT test cases and test scripts, manage defects and support UAT.
• Highlight and report any potential risks.

Skills Requirement

• Bachelors Degree in Computer Science/IT /Engineering/related discipline.
• 6-9 years of experience as a business analyst in building a Data Warehouse or Data Mart, ideally for Banking/Insurance domain.
• Ability to write complex SQL scripts, test cases and perform high quality testing.
• Strong analytical and communication skills.
• Good attitude and self-driven, able to plan and execute projects/deliveries with minimal supervision.

Benefits Summary:

• 5 day work week: Monday to Friday
• 9am to 6pm
• Central Area
• Fresh graduates are welcome to apply!

Job Description:

• Conduct follow-up calls to clients.
• Support clients in completing their applications through the bank system.
• Coordinate pending documentation with clients and the processing team.
• Prepare and submit daily reports to management.
• Address and resolve objections effectively.
• Work closely with relevant departments to resolve client issues and concerns.

Job Requirement:

• No relevant experiences are needed (training will be provided).
• Minimum qualification: "N" Level.
• Possess good phone etiquette.
• Willingness to learn.

Please submit your updated resume by using the APPLY NOW BUTTON.

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

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

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

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

Raymond Ng Jun Han | EA Personnel No.: R1657009

We are a leading Outsourced Global Sales & Marketing Agency based in Singapore that specialises in Events and Roadshows.

We're expanding, looking to groom the next leaders of the industry and bring their careers to greater heights!

Here at Euphoria Organisation, we know that in any sales & marketing agency, the magic starts with our people.

If you are driven, ambitious and love to network, WE WANT YOU!

We are a leading Outsourced Global Sales & Marketing Agency based in Singapore that specialises in Events and Roadshows.

We're expanding, looking to groom the next leaders of the industry and bring their careers to greater heights!

Here at Euphoria Organisation, we know that in any sales & marketing agency, the magic starts with our people.

If you are driven, ambitious and love to network, WE WANT YOU!

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction

" Programming skills in python

Training and deploying machine learning models end to end

Good understanding of basic statistics and deep learning techniques

Any experience in data integration, profiling,validation, and cleansing

Experience deploying TensorFlow and PyTorch into production.

• Good programming skills in Python
• Must possess experience or interest in training and deploying machine learning models end to end.
• Good understanding of basic statistics and deep learning techniques
• Prior experience in data integration, profiling, validation and cleansing
• Experience in Banking domain is mandatory
• Proficiency with SQL
• Software delivery
• Strong understanding of agile methodologies
• Strong understanding of CI/CD
• Strong understanding of test-driven development
• Comfortable using version control and enterprise task management tools.
  • Data Engineering
  • Experience in deploying TensorFlow and PyTorch into production
• Building data pipelines and architecture
• Should have extensive experience with relational and NO-SQL databases
• Should have proficiency in handling both structured and unstructured data sources
• Strong experience deploying applications to cloud platforms like Azure, AWS
• Interest in building efficient batch and streaming data engineering pipelines
• Exposure to distributed data processing platforms like Spark".

“ Without continual growth and progress, such words as improvement, achievement, and success have no meaning”

- Benjamin Franklin

The learning process is instrumental in shaping one's personality and the way they deal with life’s situations. That is why proper guidance is necessary for the success of every individual.

We pride ourself in nurturing our people; the knowledge and skills they acquired today will drive productivity and value in the long run.

What you will do:

· Represent clients’ products and provide the most suitable package to customers based on their needs

· Monitor brand evolution and competitors’ pricing

· Build customer relationships and organize daily work schedule to call on existing or potential sales outlets

· Attend product trainings and upskilling topics

· Provide solutions and ideas to assist company’s growth and expansion

Requirements:

· Minimum 17 Years Old

· Strong interpersonal and communication abilities

· Motivated and self-discipline

· Adaptable in a fast-paced, dynamic environment

· Able to work well with detailed information

· Willingness to learn all aspects of business operations work

Time waits for no one. If not now, when?

Role & Responsibilities :

• Work closely with business (research analysts, quantitative strategist, end-users, etc.), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle e.g. data onboarding, data distribution.
• Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
• Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyse, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in the assigned area of work.
• Manage and maintain strong stakeholder relationship to ensure continuous support and knowledge for existing and future data lifecycle needs.

Skillset Requirements

• At least 6 years of relevant experience in data management, data analytics, data engineering user. Preferably within investment and banking industry.
• Good understanding of the principles, key controls and processes relating to data management as well as data integration and data distribution.
• Good knowledge and experience in programming languages such as Python, Java, SQL etc.
• Familiar with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo is advantageous.
• Good at working with details and is meticulous for operations.
• Able to design and implement solution, and perform code review.
• Excellent written and verbal communication skills.
• Strong interpersonal skill to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.
• Good team player, with strong analytical skill and enjoy complex problem solving
• Experience in the Systems Development Life Cycle implementation methodology (SDLC) and/or Agile methodologies like Scrum and Kanban.

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

• MNC
• Working Hour: Monday to Friday 9am to 6pm
• Location: Central (Near MRT)
• AWS & VB provided

Job Responsibilities:

• Ensure data accuracy, completeness, and integrity through validation, cleansing, and normalization.
• Manage and update databases, data warehouses, and repositories for consistency and accessibility.
• Perform data migration, standardization, and regular audits for quality assurance.
• Recommend process improvements and best practices in data management.
• Collaborate with outsourcing teams on data processing tasks.
• Work with stakeholders to define data requirements and KPIs.
• Create and maintain Power BI dashboards to deliver actionable insights.

Job Requirements:

• Bachelor's degree in Business Analytics or a related field.
• 2–3 years of experience in master data management or a similar role.
• Proficient in Excel, SQL, and data analysis automation.
• Experience with MSSQL and PL/SQL development is a plus.
• Skilled in using Power BI for data visualization, reporting, and KPI creation.

HOW TO APPLY:

Interested applicants, please click on “Apply Now” or email to submit your resume.

We regret only shortlisted candidates will be notified.

Stafflink Services Pte Ltd
EA Licence No.: 04C4294
EA Personnel: Tiang Wan Ying
EA Personnel Reg. No.: R1767473

Job Description:

• SAP data entry - Purchasing module.
• Coordinates the delivery of goods or services from the receiving process to the final invoice. (Non-inventory stock GRN and invoice matching).
• Coordinates import shipment managing the replenishment of stationery and toilet accessories.
• Adhoc duties as assigned by the immediate supervisor.

Job Requirement

• Prefer 1 year working experience with SAP system.
• Fresh Graduate are welcome.
• SAP System
• Data Entry

Role & Responsibilities :

• Work closely with business (research analysts, quantitative strategist, end-users, etc.), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle e.g. data onboarding, data distribution.
• Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
• Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyse, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in the assigned area of work.
• Manage and maintain strong stakeholder relationship to ensure continuous support and knowledge for existing and future data lifecycle needs.

Skillset Requirements

• At least 5 years of relevant experience in data management, data analytics, data engineering user. Preferably within investment and banking industry.
• Good understanding of the principles, key controls and processes relating to data management as well as data integration and data distribution.
• Good knowledge and experience in programming languages such as Python, Java, SQL etc.
• Familiar with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo is advantageous.
• Good at working with details and is meticulous for operations.
• Able to design and implement solution, and perform code review.
• Excellent written and verbal communication skills.
• Strong interpersonal skill to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.
• Good team player, with strong analytical skill and enjoy complex problem solving
• Experience in the Systems Development Life Cycle implementation methodology (SDLC) and/or Agile methodologies like Scrum and Kanban.

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

Job Summary:

The Account Clerk is responsible for maintaining financial records, processing invoices, and ensuring accurate financial reporting. This role involves managing accounts payable and receivable, assisting with payroll, and supporting the accounting department in various tasks.

Key Responsibilities:

• Record Keeping: Maintain accurate records of financial transactions and ensure completeness and accuracy of data.
• Invoice Processing: Prepare, review, and process invoices and payments.
• Accounts Payable: Manage vendor accounts, ensuring timely payment and reconciliation of statements.
• Accounts Receivable: Process customer payments, track outstanding invoices, and follow up on overdue accounts.
• Financial Reporting: Assist in the preparation of monthly financial reports and statements.
• Data Entry: Enter financial data into accounting software and maintain updated records.
• Audit Support: Assist in internal and external audits by providing necessary documentation and reports.
• Communication: Liaise with vendors, customers, and internal departments to resolve discrepancies and answer inquiries.

Qualifications:

• Education: High school diploma or equivalent; associate degree in accounting or finance preferred.
• Experience: Previous experience in accounting or finance roles is a plus.
• Skills:Proficient in Microsoft Office Suite (Excel, Word) and accounting software (e.g., QuickBooks, Sage).
  Strong attention to detail and accuracy.
  Excellent organizational and time management skills.
  Good communication skills, both verbal and written.
  Ability to work independently and as part of a team.
  

Working Conditions:

• Office environment with standard working hours. May require occasional overtime during peak periods.

We are seeking a detail-oriented and organized Administrative Clerk to join our team. The ideal candidate will provide administrative support, ensuring the smooth and efficient operation of daily office activities. This role requires strong organizational skills, attention to detail, and the ability to manage multiple tasks simultaneously. Experience in purchasing and procurement tasks will be an added advantage.

Key Responsibilities:

• Perform general clerical duties, including data entry, filing, and document preparation.
• Handle incoming and outgoing correspondence, emails, and phone calls.
• Maintain and update physical and digital records and databases.
• Assist in scheduling meetings, appointments, and conference calls.
• Prepare reports, presentations, and other documentation as needed.
• Coordinate office supplies inventory and place orders when necessary.
• Support various departments with administrative tasks as assigned.
• Ensure all documents and files are managed in compliance with company policies.
• Assist in purchasing activities, including sourcing suppliers, obtaining quotations, and processing purchase orders.
• Monitor and track inventory levels to ensure timely procurement of supplies and materials.

Requirements:

• High school diploma or equivalent; additional qualifications in Office Administration are a plus.
• Proven experience as an Administrative Clerk or similar role.
• Experience in purchasing or procurement processes is preferred.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).
• Strong communication and interpersonal skills.
• Excellent organizational and multitasking abilities.
• Attention to detail and a high level of accuracy.

If you are a motivated individual with a passion for administrative tasks, organization, and purchasing, we would love to hear from you!

Interested applicants please email or WhatsApp 9772 7254

Responsibilities:

• Work closely with business (research analysts, quantitative strategist, end-users, etc.), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle e.g. data onboarding, data distribution.
• Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
• Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyse, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in the assigned area of work.
• Manage and maintain strong stakeholder relationship to ensure continuous support and knowledge for existing and future data lifecycle needs.

Requirement:

• Possess a degree in Accounting, Finance, Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution.
• At least 5 years of relevant experience in data management, data analytics, data engineering user. Preferably within investment and banking industry.
• Good understanding of the principles, key controls and processes relating to data management as well as data integration and data distribution.
• Good knowledge and experience in programming languages such as Python, Java, SQL etc.
• Familiar with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo is advantageous.
• Good at working with details and is meticulous for operations.
• Able to design and implement solution and perform code review.
• Excellent written and verbal communication skills.
• Strong interpersonal skill to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.
• Good team player, with strong analytical skill and enjoy complex problem solving
• Experience in the Systems Development Life Cycle implementation methodology (SDLC) and/or Agile methodologies like Scrum and Kanban.

Big Data Developer (3 – 10 Years)
§ Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
§ Experience in designing application solutions in hadoop ecosystem
§ Deep understanding of the concepts in Hive, HDFS, yarn, Spark, Spark sql, Scala and Pyspark
§ HDFS file formats and their use cases (eg Parquet, ORC, Sequence etc)
§ Good knowledge in data warehousing system
§ Experienced in any scripting language (SHELL, PYTHON)
§ HortonWorks distribution and understanding on SQL engines (Tez, MR)
§ Java/RestServices/Maven experience is a value addition
§ Control-M development. Monitoring Resource utilization using Grafana Tool
§ Good skillset to create automation scripts in Jenkins & knowledge in working on automating builds, test frameworks, app configuration etc
§ Experience in implementing scalable applications with fully automated deployment and control using Bitbucket, Jenkins, ADO etc
§ Skillset:
o Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
o Good to have : Schedulers (Control-M), ETL Tool – Dataiku , Unix/Shell scripting , Knowledge of Integration services of FileIT/MQ and others , CI/CD tools – Jenkins, Jira, ADO Devops – tools suite , Oracle .

JD:

" Programming skills in python

Training and deploying machine learning models end to end

Good understanding of basic statistics and deep learning techniques

Any experience in data integration, profiling,validation, and cleansing

Experience deploying TensorFlow and PyTorch into production.

• Good programming skills in Python
• Must possess experience or interest in training and deploying machine learning models end to end.
• Good understanding of basic statistics and deep learning techniques
• Prior experience in data integration, profiling, validation and cleansing
• Experience in Banking domain is mandatory
• Proficiency with SQL
• Software delivery
• Strong understanding of agile methodologies
• Strong understanding of CI/CD
• Strong understanding of test-driven development
• Comfortable using version control and enterprise task management tools.
  • Data Engineering
  • Experience in deploying TensorFlow and PyTorch into production
• Building data pipelines and architecture
• Should have extensive experience with relational and NO-SQL databases
• Should have proficiency in handling both structured and unstructured data sources
• Strong experience deploying applications to cloud platforms like Azure, AWS
• Interest in building efficient batch and streaming data engineering pipelines
• Exposure to distributed data processing platforms like Spark".

JD:
Big Data Developer (3 – 10 Years)
§ Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
§ Experience in designing application solutions in hadoop ecosystem
§ Deep understanding of the concepts in Hive, HDFS, yarn, Spark, Spark sql, Scala and Pyspark
§ HDFS file formats and their use cases (eg Parquet, ORC, Sequence etc)
§ Good knowledge in data warehousing system
§ Experienced in any scripting language (SHELL, PYTHON)
§ HortonWorks distribution and understanding on SQL engines (Tez, MR)
§ Java/RestServices/Maven experience is a value addition
§ Control-M development. Monitoring Resource utilization using Grafana Tool
§ Good skillset to create automation scripts in Jenkins & knowledge in working on automating builds, test frameworks, app configuration etc
§ Experience in implementing scalable applications with fully automated deployment and control using Bitbucket, Jenkins, ADO etc
§ Skillset:
o Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
o Good to have : Schedulers (Control-M), ETL Tool – Dataiku , Unix/Shell scripting , Knowledge of Integration services of FileIT/MQ and others , CI/CD tools – Jenkins, Jira, ADO Devops – tools suite , Oracle .