Job Summary

We are seeking a detail-oriented and reliable Accounts Clerk to join our finance team. The Accounts Clerk will be responsible for supporting accounting operations, including data entry, processing transactions, and managing financial records. The ideal candidate will have a strong eye for accuracy and a commitment to maintaining the confidentiality of financial information.

Key Responsibilities

• Record and update daily financial transactions in the accounting software accurately and efficiently.
• Process invoices, receipts, payments, and expenses, ensuring timely and accurate data entry.
• Reconcile bank statements and various accounts regularly to ensure data accuracy.
• Assist in preparing monthly, quarterly, and annual financial reports.
• Monitor accounts payable and receivable to ensure timely processing of payments and collections.
• Respond promptly to inquiries from vendors, clients, and internal departments regarding financial transactions.
• Maintain an organized and up-to-date filing system for all financial documents, both digitally and physically.
• Support the finance team during audits and assist with annual tax preparations.
• Perform general administrative tasks as required to support the accounting department.

Qualifications

• Education: High school diploma or equivalent; associate degree or coursework in accounting, finance, or a related field is a plus.
• Technical Skills: Proficiency in accounting software (e.g., QuickBooks, Xero) and MS Office Suite, especially Excel.
• Detail-Oriented: Strong attention to detail and accuracy, with excellent organizational skills.
• Communication: Strong verbal and written communication skills, with the ability to interact professionally with vendors and internal teams.
• Confidentiality: Demonstrated ability to handle sensitive financial information discreetly.

Experience

• 1-3 years of experience in a similar role such as Accounts Clerk, Accounting Assistant, or Bookkeeper.
• Previous experience handling accounts payable and receivable and assisting with account reconciliations.
• Familiarity with data entry, financial record-keeping, and basic administrative tasks in a finance setting.
• Experience using accounting software and following accounting principles.

Preferred Skills

• Basic understanding of accounting principles and financial processes.
• Ability to work independently as well as in a team environment.
• Familiarity with data entry best practices and maintaining organized financial records.

We are looking for an experience conveyancing secretary to assist our lawyer. Those with limited experience may apply.

Job description

· Providing conveyancing and administrative support

· Liaising with clients, including banks and various authorities

Requirements:

· Must have relevant experience

· Proficient in Microsoft Office Applications

· Strong organisational and administrative skills

· A team player with meticulous attention to detail and an open mindset

Interested applicants are to send in their detailed resume stating their current and expected salaries.

Requirement

• Bachelors Degree in Computer Science, Information Technology or other relevant fields
• Minimum 2 years of work experience with Data Ingestion, ETL, Data Modelling, Data Architecture to build Datalake.
• Proficient in designing, coding, and tuning big data processes using Pyspark.
• Minimum 2 years of extensive experience in working on AWS platform using core services like AWS Athena, Glue Pyspark, RDS-PostgreSQL, S3 & Airflow (for orchestration).

Summary:

We are seeking a highly skilled and experienced Big Data Lead Architect to oversee the design, development, and deployment of big data solutions. The ideal candidate will have strong expertise in managing and architecting large-scale data platforms using advanced technologies such as Cloudera, Azure Cloud, and Kubernetes, among others.

Key Responsibilities:

• Lead the design, architecture, and implementation of end-to-end Big Data solutions.
• Oversee the integration of Cloudera CDH/CDP platforms for data management and analytics.
• Architect scalable solutions using technologies like Cloudera Machine Learning, Elasticsearch, and AML applications.
• Collaborate with data science and engineering teams to optimize the deployment of data models and machine learning pipelines.
• Ensure high availability and disaster recovery of big data platforms using technologies like Kubernetes, VMWare, and Azure Cloud.
• Automate infrastructure and deployment processes using Chef and Shell scripting.
• Implement monitoring and observability solutions using Prometheus, Grafana, and other monitoring tools.
• Manage security frameworks for big data environments using CyberArk and Trend Micro.
• Perform infrastructure troubleshooting and manage incident resolution using Remedy.
• Optimize database performance and management using PostgreSQL.
• Collaborate with cross-functional teams to ensure secure, reliable, and scalable infrastructure on HPE servers.

Required Skills & Qualifications:

Education:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related fields.

Experience:

• 7+ years of experience in Big Data architecture and infrastructure, with a minimum of 3 years in a lead role.

Technical Expertise:

a) Cloudera CDH/CDP platforms and Cloudera Machine Learning.

b) Azure Cloud architecture and deployment.

c) Experience with Kubernetes, VMWare, RHEL, and container orchestration.

d) Monitoring tools: Prometheus, Grafana.

e) Security tools: Trend Micro, CyberArk.

f) Scripting: Shell scripting and automation with Chef.

g) Strong experience with Tableau and SAS for data visualization and analytics.

h) AML application expertise and experience with Elasticsearch.

i) Database expertise in PostgreSQL.

j) Strong experience in infrastructure management with HPE servers.

k) Proven experience in working with cloud and on-premise environments.

Preferred Skills:

a) Experience with disaster recovery, high availability, and security compliance.

b) Experience with DevOps practices and continuous integration (CI) pipelines.

c) Experience managing large-scale environments and multi-tier architectures.

Soft Skills:

a) Strong problem-solving and critical-thinking skills.

b) Excellent communication and leadership abilities.

c) Ability to work collaboratively in a fast-paced, dynamic environment.

d) Strong organizational and multitasking skills.

Job Description

• Collaborate with stakeholders (customers, partners, colleagues) on data-related technical issues and infrastructure needs.
• Work with data scientists to gather data requirements for modeling.
• Design, develop, document, manage, and maintain data models, ETL processes, data warehouses, data management, and pipeline solutions for large volumes of structured/unstructured data from various sources with different latencies (on-demand, batch, real-time, near-real-time).
• Define, monitor, and report SLAs for data pipelines and products.
• Ensure data security and governance standards are met.
• Execute data quality assurance practices.
• Support data management solutions pre-sales initiatives, proposal development, and provide post-sales support.

Technical Knowledge/Skills/Competencies

• Expertise in relational/non-relational/NoSQL databases and enterprise data warehouses/marts.
• Proficiency in big data technologies (e.g., Hadoop, Spark, Hive, HBase).
• Knowledge of data ingestion technologies (e.g., Flume, Kafka, NiFi).
• Experience in scripting, programming, and software development (e.g., Java, C/C++, Python, R, MATLAB, Scala, SQL) for Windows or Linux.
• Experience in master data management, data governance, and data lifecycle management.
• Skilled in designing, documenting, implementing, and supporting data management solutions.
• Familiarity with software engineering best practices (development, programming, testing, version control).
• Knowledge of data privacy and security assurance.
• Understanding of machine learning, computer vision, and large language models is a plus.

Soft Skills

• Excellent written and verbal communication skills.
• Highly organized, motivated, independent, and resourceful team player.
• Strong analytical thinking, interpersonal, and problem-solving skills.
• Ability to work productively in a matrix reporting and fast-paced environment.

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to [email protected] for immediate processing.

(EA Reg No: 20C0312)

Sales Executive

• 5 days 8:45am - 6pm
• Basic S$ 2,000 - 3,000 (depend on experience) + phone sim card ($120) + car provided (No transport allowance) + commission
• Marymount

Requirements:

• With Class 3 license prefered
• Training provided

Responsibilities:

• Attending to sales enquires, generate and present quotations
• Develop and introduce sales strategies and marketing plans.
• Provide excellent customer service and ensure customer satisfaction for developing long term relationships with customer
• Prepare month-end sales reports

Benefits:

• 14 days AL
• AWS
• VB(Depends on performance)
• Medical claim: $40 per visit

WhatsApp: https://wa.me/6591044149 (Shermaine)

Siah Sze Ming Reg No: R24125414

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Background

Alternatives.pe provides the most detailed and comprehensive financial information on startups, SMEs, and their investors. Since launching in 2020, the company has already signed up clients like GIC, Sequoia, KKR and most of the leading investors in Southeast Asia. And this is just the beginning.

Role & Responsibilities

You will design and manage the processes that build and maintain our database of Key People who work for Fund Managers, Limited Partners and Family Offices.

Skills Required

• Must be a skilled user of a range of data acquisition tools
• Must be a skilled user of data cleaning and management tools to deduplicate, match, append etc. Ability to write functions in Google AppScript or Python would be a plus
• Familiar with LinkedIn Sales Navigator
• Familiar with dealing with email address data (and its validation)
• Familiar with process automation / integration tools (Make/Zapier etc)

Specific requirements of the job are:

• Design, implement and manage the process of finding new, relevant people that should be included on the Alternatives.pe platform, and maintaining the freshness of that data.
• Process raw data from various sources and prepare it for analysis/ingestion.
• Monitor data quality and implement improvements as needed.
• Help identify new data sources that our subscribers will find valuable.
• Develop a measurement framework that monitors key metrics for management.
• Collaborate with the development team to integrate data processing workflows.

Requirements

• 2-3 years of working experience
• Experience in a role that involves research / data acquisition and data operations.
• Highly developed attention to detail and enjoy getting data sets 100% accurate.
• Good communication skills in English.
• Excellent problem-solving skills
• Ability to work remotely, independently and in a team environment.
• Able to adapt well in a fast-paced startup environment
• Bachelor's degree in a business or technical subject.

Responsibilities:

The holder of the position is mainly responsible for the following areas in coordination with his / her superior:
• Design, create, modify extract/transform/load (ETL) pipelines in Azure Data Factory ensuring efficient data flow from source to destination.
• Ensure data accuracy and data integrity throughout the ETL processes via data validation, cleansing, deduplication, and error handling to ensure reliable and usable data being ingested.
• Monitor the ETL processes and optimize ETL pipelines for speed and efficiency, addressing bottlenecks, and ensuring the ETL system can handle the volume, velocity, and variety of data.
• Participate in data modeling, designing of the data structures and schema in the data warehouse to optimize query performance and align with business needs.
• Work closely with Business controlling, data engineers and IT teams to understand data requirements and deliver the data infrastructure that supports business goals.
• Provide technical support for ETL systems, troubleshooting issues and ensuring the continuous availability and reliability of data flows.
• Ensure proper documentation of data sources, ETL processes and data architecture.

Qualifications

• 3-5 years of database experience in an enterprise production environment
• Working experience on Azure cloud and with Azure Data Factory is a must, and Oracle cloud would be a plus
• Demonstrable proficiency in PL/SQL to write SQL scripts
• Experience in data injection, cleansing and data modelling
• Hands on Database administration skills on Oracle and PostgreSQL would be a plus
• Good analytical and troubleshooting skills
• Curious, proactive, self-motivated and able to work in a dynamic environment
• Good spoken and written communication skills
:

Responsibilities

• Data Request Management: Gain a deep understanding of the product team's data requests and provide support in building the data structure and roadmap. Ensure timely fulfillment of daily data needs. Additionally, gather requirements, prioritize features, and ensure successful delivery of data products.
• Stakeholder Collaboration and Workflow/SOP Development: Collaborate closely with stakeholders, including the product team, BI team, data engineers, and business leaders. Work together to establish efficient workflows and SOPs with the product team, ensuring adherence to established procedures.
• Data Product Development: Develop data products for the assigned product line to guide the long-term development of the business. This includes creating a north-star or metrics system aligned with the goals of the product line.
• Data Governance: Thoroughly investigate recurring data issues by identifying underlying problems within internal data systems. Implement systematic approaches to address these issues. Collaborate closely with the data governance team to develop sustainable data governance solutions.

Requirements:

• Min. 2-5 years of experience in data product management.
• Excellent project management skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment.
• Strong communication, collaboration, and implementation skills, with the ability to identify and resolve problems from both business and data technology perspectives.
• Demonstrates great sense of responsibility & ownership, with the ability to work under pressure.

Nice to Haves:

• Data Engineering background
• Crypto/Blockchain knowledge is a plus

EA Personnel: Celine Tan Si Ling

CEI Reg No: R1104662

EA Licence No: 99C4599

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.

Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.

Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Responsibilities

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Minimum Qualifications

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
• A minimum of 4+ years experience doing quantitative analysis
• Fluency in SQL, R, or Python
• 4+ years experience leading product analytics and influencing product roadmap
• 4+ years experience designing and running A/B tests
• Experience understanding ecosystems, user behaviors and long-term product trends
• Proven experience leading data-driven projects from definition to execution: defining metrics, experiment design, communicating actionable insights.

Preferred Qualifications

• Masters or Ph.D. Degree in a quantitative field.

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

The ideal candidate has experience with large-scale data processing and a solid grasp of data science workflows. This position allows for a substantial impact on the team’s research direction within a successful proprietary trading firm.

Responsibilities:

• Identify high-quality data and request acquisition through data team tickets.
• Develop tools for data visualization and exploration.
• Apply statistical and ML techniques to detect patterns and trends.
• Stay updated on data science and crypto industry advancements.
• Benchmark model performance against leading techniques.
• Build metrics and dashboards to track trading strategy performance.

Requirements:

• At least 5 years in data science, with 2 in leadership
• Master’s in EE, CS, Physics, Mathematics, or related field
• Proficiency in Python, large-scale data processing, and ML frameworks like TensorFlow, PyTorch, and scikit-learn
• Experience in time-series analysis, modeling, and forecasting
• Strong understanding of model architecture and code quality
• Knowledge in crypto or finance is beneficial but optional

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781