Data analyst with finance background ( financial markets ) , dashboarding , Gen AI

Must have : Skills: python, machine learning, SQL, Tableau, Power BI, Generative AI (GenAI), NLP, Computer Vision, hypothesis testing, communication, visualization, financial markets, transformer, deep-learning.

Responsibilities

1. Drive analytic projects for all pillars of the bank’s treasury and markets department, such as bond analytics, news generation FX trading signals, product recommendation and customer hyper-personalization.

2. Create appropriate data visualisations, utilising PowerBI, Tableau and other appropriate tools like Python for effective storytelling.

3. Utilize advanced statistical and machine learning methods to derive insights and predictions from large volumes of transactional, operational and customer data.

4. Translate complex findings into intuitive visualizations and recommendations for front office traders and senior management.

5. Write and refactor code into reusable libraries/ APIs/ tools, deploy machine learning ecosystems/ pipelines and perform sub-system integration as required.

6. Participate in Generative AI (GenAI) and Document AI (DocAI) initiatives for news recommendation, customer pitch generation and market data collation.

7. Perform hypothesis testing and experimentation to discover causal drivers for customer and market behaviours.

Required Experience

1. Bachelor/ masters in a quantitative discipline, such as Mathematics/Statistics, Business Analytics, Computer Science, Engineering, or equivalent experience.

2. Working knowledge in data visualization tools such as PowerBI, Tableau or equivalent

3. Expert working knowledge and hands-on experience using Python and SQL.

4. Demonstrable understanding and application of varied AI/ML concepts and models, their mathematical underpinnings, and trade-offs

5. Practical experience using quantitative and statistical techniques to solve business problems such as hypothesis testing, regression, causal and correlation analysis, etc.

6. Excellent verbal and written communication skills to explain insights from technical work to non-technical audience through presentation or other means.

7. Experience working with unstructured data (text, images, audio) and application of NLP/ Computer Vision techniques and deep-learning and transformer models.

Leveraging data to extract valuable insights, optimize processes, and support decision-making within the context of commodities trading and management. Here are the key responsibilities and tasks that the role encompasses:

Data Collection and Processing:

• Collect and consolidate data from various sources, including market data feeds, internal databases, and external data providers.
• Clean, preprocess, and organize large datasets to ensure data accuracy and reliability.

Data Analysis and Interpretation:

• Utilize statistical methods, mathematical models, and data analysis techniques to identify patterns, trends, and anomalies in commodity market data.
• Analyze historical and real-time market data to provide insights into market movements, pricing trends, and risk factors.

Market Research and Forecasting:

• Conduct market research to stay informed about global economic trends, geopolitical events, and other factors influencing commodity prices.
• Develop and implement forecasting models to predict future market movements and commodity price trends.

Risk Management:

• Assist in the development and maintenance of risk models to assess and manage the potential risks associated with commodity trading activities.
• Work with risk management teams to identify and mitigate risks related to market volatility and price fluctuations.

Reporting and Visualization:

• Create reports, dashboards, and visualizations to communicate key insights to stakeholders, including traders, senior management, and other decision-makers.
• Present findings in a clear and understandable manner to support strategic decision-making.

Database Management:

• Manage and maintain databases that store historical and current market data, trade information, and other relevant data sets.
• Ensure data integrity, security, and accessibility for analytical purposes.

Collaboration with Cross-Functional Teams:

• Collaborate with traders, risk analysts, finance professionals, and other cross-functional teams to align data analysis efforts with business objectives.
• Provide data-driven recommendations to support commodity trading strategies and decision-making.

Continuous Learning:

• Stay updated on industry trends, market dynamics, and emerging technologies in data analytics to enhance analytical capabilities.

Requirements:

• Bachelor's degree in a related field such as mathematics, statistics, computer science, economics, or information management.
• Strong analytical skills for interpreting complex data sets, identifying trends, patterns, and insights.
• Proficiency in programming languages such as Python, R, SQL, or others.
• Experience with data visualization tools like Tableau, Power BI, or Matplotlib.
• Knowledge of statistical analysis techniques and tools.
• Familiarity with database systems and data querying languages (MS SQL).
• Understanding of mathematical concepts, including probability, calculus, algebra, and statistics.
• Logical approach to problem-solving and ability to develop creative solutions based on data analysis.
• Ability to gather actionable requirements from various offices (Front/Middle/Back).
• Strong attention to detail to ensure accuracy in analysis and reporting.
• Effective written and verbal communication skills for presenting findings and insights to stakeholders.

Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at [email protected] with your updated CV.

Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Morgan McKinley Pte Ltd

EA Licence No: 11C5502 | EAP Registration No: R2095054

New Product Development

• Proceeds development according to implement plan
• Makes functional specification
• Proceeds electrical, or firmware design
• Plans and proceeds prototype model evaluation and prepare evaluation to reports.

Re-design of Products

• Supports Lead Engineer to estimate return and investment.
• Proceed re-design according to implementation plan.
• Proceeds electrical, mechanical or firmware design.
• Plans and proceeds prototype model evaluation and prepare evaluation report.
• Makes up product manufacturing standard.

Technical Support

• Prepares technical information for parts localize and price negotiation.
• Supports production line if necessary according to superior’s direction.
• Supports parts faculty/investigation according to superior’s direction.

Requirements:

• Bachelor of Mechanical Engineering
• Experience in analog or digital electrical hardware design
• Entry level are welcome to apply.

Electronics Manufacturing Industry

East/Bedok

5 days work week

Interested Applicants, kindly email your detailed resume to [email protected]

Tempserv Pte Ltd

License No: 06C3745

Tel: 62226441

Attention: Audris Teo / EA Personnel No: R1102063

Job Description:

1. Develop and provide cloud computing services (platform-as-a-service or infrastructure-as-a-service) suggestions/proposals for SME, Enterprise and various industry verticals.
2. Design data solutions aligned to the design principles and security standards of the Google Cloud Platform.
3. Design and implement solutions around data warehouse implementation ranging from architecture, ETL processes, multidimensional modelling, data marts implementation.
4. Design and optimize data acquisition, data ingestion, data processing using ETL (Extract, Load, Transform) tool and developing dashboards or other visualizations using Google Cloud Platform or other solutions.
5. Evaluate the requirements and determine actionable tasks, estimates and provide efforts for business solution build and architecture.
6. Responsible for technical documentation on solution implementation.
7. Perform operational readiness tasks and ensure production acceptance criteria are met.
8. Respond to platform technical issues in a professional and timely manner.
9. Work closely with the sales team for cloud-related sales opportunities.
10. Support Pre-Sales activities, i.e. proposal, systems design, proof-of-concept, demo, workshop conduct, etc.

Requirements:

1. Bachelor’s degree in Computer Science, related technical field, or equivalent practical experience.
2. 3 – 5 years of experience in Business Analytics, Data Engineering or Data Science.
3. Strong logical/analytical troubleshooting.
4. Experience in deploying and operating multi/hybrid-cloud platforms, such as Kubernetes, Anthos etc is a plus.

COMPANY DESCRIPTION

A leading general insurer with a local presence of over 100 years, MSIG Singapore offers an extensive range of insurance solutions for commercial and personal risk protection, enabling the security and safety of individuals and businesses. MSIG Singapore holds an A+/Stable financial rating by Standard & Poor's.

A testament to its growing strength and influence, MSIG Singapore has garnered numerous awards for delivering digitally innovative and customer-centric solutions. In 2023, 2022 and 2020, MSIG Singapore was awarded Insurance Asia Awards Claims Initiative of the Year.

MSIG is a subsidiary of Mitsui Sumitomo Insurance Co., Ltd, and a member of the MS&AD Insurance Group one of the largest general insurance groups in the world with presence in 50 countries and regions globally, 18 of which are in Asia Pacific including all ASEAN markets as well as in Australia, New Zealand, China, Hong Kong, Taiwan, South Korea and India. Headquartered in Japan, MS&AD is amongst the top non-life insurance groups in the world based on gross revenue.

RESPONSIBILITIES

• Assist Senior Vice President, Technical Services to provide actuarial services and analysis to the underwriting, claims, business development, reinsurance and finance managers.
• Introduce best practice actuarial science to the business process including premium rating
• Actuarial monitoring report to monitor portfolio performance on accident year basis
• Technical pricing and rate reviews
• Predictive analytics to assist other departments with decision making
• Develop awareness and understanding of actuarial analysis
• Put in place actuarial best practice
• Guide junior team members and make presentations to senior members of Business Units
• Undertake any other duties as may be assigned.

• Preferably with Actuarial Science, Mathematics or Statistics degree and currently pursuing professional qualifications from the Casualty Actuarial Society/Institute of Actuaries/Institute of Actuaries of Australia
• Should ideally be one to two years from obtaining the professional qualification above

• Knowledge and experience in general insurance actuarial practice especially in areas of premium rating, portfolio monitoring, reserving, risk/financial/capital modelling
• Statistical knowledge
• Good understanding of data, actuarial software and programming languages including analytics and visualisation tools
• Preferably with experience in a consultancy firm or/and general insurance company
• Ideally a minimum of 2 years experience in a general insurance actuarial practice
• Business oriented, able to suggest practical recommendations

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities:

Contribute to building and maintaining data systems or pipelines.
Perform setup, installation, configuration, troubleshooting, and upgrades for COTS products.
Develop and implement improvements for data warehouses, data lakes, or equivalent platforms.
Participate in creating documentation, including design documents and troubleshooting guides.

Requirements:

Possess knowledge and/or hands-on experience in data management or data engineering.
Demonstrate proficiency in Linux commands, shell scripting, and various programming languages.
Experience with relational databases and NoSQL databases, data integration tools.
Familiarity with data/search/automation platforms and analytics tools
Knowledge and/or practical experience with Microsoft Azure Cloud services

Experience in one or more of the following will be an advantage:

Data / Search / Automation platforms such as Hadoop, Elasticsearch, Ansible respectively

Data integration tools such as Talend, DataStage, Denodo

Programming languages such as Python, Spark

Microsoft Azure Cloud services such as Azure Data Factory, Azure Synapse Analytics

Analytics platforms such as Databricks, Dataiku, Data Robot

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Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants

Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Role Responsibilities

Strategy and management

• Partner with SAM Leadership Team to define sales and retention strategy, leveraging global campaign framework and ensuring consistency of message, internally and externally
• Define and drive customer strategy and targets, including key focus areas by industry, product, region, sector, as well as corresponding resourcing model, marketing plan, etc.
• Monitor execution of customer strategy and performance vs. targets, course-correcting where needed
• Serve as key interlock between the Customer Strategy Leadership Team and SAM organization to execute strategy and tactics.

Sales coordination and execution

• Drive strong, consistent cadence, with associated training and collateral, for new product initiatives or planned launches; ensure sales plan and targets are agreed and executed against new launches
• Ensure optimal feedback loop, coordinating with CSM management, from customers into Product Strategy forums, utilizing appropriate CRM tools.
• Become a focal point / center of excellence around product communication, knowledge sharing, etc, organizing community calls or other forums to achieve this
• Ensure sales teams across LSEG understand LSEG vision, our product strategy by community, and how LSEG capabilities deliver for our customers
• Work with Business leadership to resolve issues and clear roadblocks across the organisation

Client engagement

• Provide resources for major client engagements and pitch meetings, martialing internal resources in collaboration with SAM management to drive revenue outcomes
• Maintain ongoing dialogue with key client relationships to drive business outcomes and inform our strategy

Product development, branding and messaging

• Ensure Customer Strategy represents the voice of the customer within the LSEG organization to inform strategic planning and investment decisions that underpin product development strategy
• Partner with Marketing to drive clear and specific brand messaging across businesses and align this with integrated campaigns to deliver growth; ensuring messaging aligns to customers priorities and concerns
• Ensure best in class product and industry training and deep subject matter expertise across the organization, ensuring visibility and engagement on learning and development in close partnership with learning organization.

KPIs:

• D&A revenue growth
• D&A net sales performance, incorporating new sales and retention

Qualifications and Experience Required

• University degree or equivalent work experience
• Commercial / management experience
• Market domain experience across customers specifically with regards to Enterprise and Cloud Technology, and/or Pricing and Reference Data
• B2B sales experience/exposure
• Understanding of the trends and themes impacting technology within the financial services industry, familiarity with macroeconomic trends
• Demonstrated leadership skills
• Experience operating in a matrix organization, including stakeholder engagement and influencing management
• Demonstrated blend of strategic and operational skills
• Proactive and execution focused

Mandatory Skills

Responsibilities:

1. Utilize extensive financial datasets to drive the bank's Treasury and Market department's data science solutions for pricing, campaign optimization, and customer hyper-personalization.
2. Work with quants, traders and dealers to solve complex optimization problems using advanced machine learning and quantitative methods.
3. Develop causal models and optimization algorithms to dynamically price financial products and respond to market volatility.
4. Strategize, execute, and evaluate marketing campaigns and pricing experiments.
5. Conduct research and literature reviews to assess quantitative algorithms and models, ensuring the selection of optimal methodologies.
6. Perform hypothesis testing to discover causal drivers for customer and market behaviours.
7. Implement and train AI/ML models, optimizing algorithm efficiency through GPU distributed computing and concurrent programming.
8. Write and refactor code into reusable libraries/ APIs, deploy machine learning ecosystems, and integrate subsystems as necessary.

Required Experience:

• Masters/ PhD in a quantitative discipline, such as Mathematics/Statistics, Quantitative Finance, Computer Science, Engineering, or equivalent experience.
• Proficient in the data science production life cycle, with a track record of working with structured, semi-structured, and unstructured data.
• Exceptional software skills in Python (Or demonstrable ability to pick up new languages) and SQL variants, with expertise in design patterns, code optimization, and object-oriented programming.
• Experience applying quantitative and machine learning algorithms to pricing and marketing domains.
• Demonstrable expertise in econometrics, statistical modelling, time-series analysis, causal inference, or other relevant domains.
• Solid understanding of foreign exchange markets, including currency pairs, market dynamics, and key drivers.
• Hands-on experience in designing and executing digital campaigns and experimentation methodologies, including A/B testing, bandit-based experiments and multivariate analysis.

Key Skills:

Python, machine learning, causal inference, SQL, experimentation, A/B Testing, Multi-Armed bandit, pricing, econometrics, software design, time-series analysis, research, financial markets, behavioral science, quantitative analysis.

Mandatory Skills

Responsibilities:

1. Utilize extensive financial datasets to drive the bank's Treasury and Market department's data science solutions for pricing, campaign optimization, and customer hyper-personalization.
2. Work with quants, traders and dealers to solve complex optimization problems using advanced machine learning and quantitative methods.
3. Develop causal models and optimization algorithms to dynamically price financial products and respond to market volatility.
4. Strategize, execute, and evaluate marketing campaigns and pricing experiments.
5. Conduct research and literature reviews to assess quantitative algorithms and models, ensuring the selection of optimal methodologies.
6. Perform hypothesis testing to discover causal drivers for customer and market behaviours.
7. Implement and train AI/ML models, optimizing algorithm efficiency through GPU distributed computing and concurrent programming.
8. Write and refactor code into reusable libraries/ APIs, deploy machine learning ecosystems, and integrate subsystems as necessary.

Required Experience:

• Masters/ PhD in a quantitative discipline, such as Mathematics/Statistics, Quantitative Finance, Computer Science, Engineering, or equivalent experience.
• Proficient in the data science production life cycle, with a track record of working with structured, semi-structured, and unstructured data.
• Exceptional software skills in Python (Or demonstrable ability to pick up new languages) and SQL variants, with expertise in design patterns, code optimization, and object-oriented programming.
• Experience applying quantitative and machine learning algorithms to pricing and marketing domains.
• Demonstrable expertise in econometrics, statistical modelling, time-series analysis, causal inference, or other relevant domains.
• Solid understanding of foreign exchange markets, including currency pairs, market dynamics, and key drivers.
• Hands-on experience in designing and executing digital campaigns and experimentation methodologies, including A/B testing, bandit-based experiments and multivariate analysis.

Key Skills:

Python, machine learning, causal inference, SQL, experimentation, A/B Testing, Multi-Armed bandit, pricing, econometrics, software design, time-series analysis, research, financial markets, behavioral science, quantitative analysis.

*Entry-Level* Backend Engineer | DevOps | AWS

Working location: Central

Working hours: Office hours (Hybrid)

Remuneration package: Basic + AWS

If you are looking for opportunities to collaborate with leading industry experts and be surrounded by highly motivated peers, we welcome you to join us. These are newly created positions with many opportunities to make a difference!

Responsibilities:

• Actively participate as a valuable member of an in-house engineering team dedicated to mastering the design, development, and operation of Cloud Platforms.
• Learn and assist in deploying and managing applications on cloud platforms under guidance.
• Explore opportunities to contribute to automation initiatives at scale across multiple Cloud Service Providers.
• Seek guidance and provide support on DevOps methodologies, focusing on Automation, Availability, Scalability, and Resiliency.
• Focus on learning and contributing to API development, backend automation using Python, and ensuring code deployment security through various CI/CD toolchains like GitLab, Atlassian, and Terraform.

Requirements:

• Basic understanding of Python programming language.
• Interest in cloud infrastructure deployment and automation.
• Eagerness to learn agile development, secure pipelines, and deployment automation practices.
• Familiarity with version control systems like Git.
• Desire to explore cloud services such as AWS, Azure, and GCP.
• Willingness to learn about challenges in large-scale distributed systems.
• Enthusiasm for code security and the use of open-source tools in relevant domains.
• Passion for automation.
• Good to have: Basic understanding of Terraform and Bash scripting.
• Good to have: Interest in Cloud Landing Zone concepts like Control Tower, Terraform Landing Zone, Microsoft Azure CAF.
• Good to have: Curiosity about Site Reliability Engineering principles and application monitoring tools.

If you are excited with this opportunity and enjoy making things happen, do apply now!

OR

Email your updated resume to: spat(at)scientecpersonnel.com by quoting "J43800" in your email subject for faster processing.

All job applications will be processed with strict confidence and only shortlisted candidates will be contacted.

Aloysius Tan Sheng Rong - R22110441

ScienTec Consulting Pte Ltd - 11C5781

PM Group requires a Mechanical Project Manager in delivering hyperscale projects in the data centre industry.

Key Responsibilities

• Manage day-to-day project management to ensure compliance to regulatory requirements.
• Planning, organizing, coordinating and communicating aspects of project work activities on site from conception to completion.
• Responsible for ensuring all activities on the project are executed in accordance with contract documents, in compliance with system plans, and work procedures for the Project, and will culminate in a validatable facility.
• Coordination / schedule meetings on the daily progress of works on site.
• Primary contact throughout the project
• Responsible for ensuring that the project stays on schedule, meets safety objectives, and the design will result in a cost-effective facility.
• Evaluate proposals submitted by vendors for the package; followed by tender interviews/clarifications and evaluate re-submissions by vendors.
• Review documentations submitted by vendor and ensure that all comments are incorporated to meet the design intent of the system for the project.
• Review contractors design documentations provided by contractor’s team for purchased process system / equipment and coordinate with subject matter expert & other design disciplines on process related issues.
• Prevent compliance issues by collaborating with MEP project team; reviewing design data; identifying and resolving engineering design issues; identifying short-term and long-range issues; researching and identifying applicable regulatory and industry compliance standards and codes; developing compliance policies.

Requirements

• Bachelor’s Degree in Project Management and/or Mechanical Engineering
• Minimum 5 years of project management in the data centre industry would be advantageous.
• PMP Certification would be an added advantage
• Excellent stakeholder management skills

Job Description & Requirements

We are looking for 3 pax part timers for the month of Ramadhan.

Job Function

• Data entry
• Basic filing

Requirement

• Familiar with MS Office applications
• Able to commit for 3 months

Work Schedule

Monday to Friday - 9am to 6pm

$10/hr

Location

PERTAPIS Head Office - Blk 1 Joo Chiat Rd, #04-1001, Singapore 420001

**Candidate should be able to start immediately.

**Only shortlisted candidates will be notified.

• Excellent practical understanding of machine learning techniques and algorithms
• Should have expertise in Graph analytics
• Good applied statistics skills, such as distributions, statistical testing, regression, etc
• Expertise in domain like AML and Compliance
• Experience with common data science toolkits
• Experience with data visualisation tools
• Proficiency in using query languages such as SQL, Hive, Pig
• Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
• Would be able to conceptualize requirement, Selecting features, building and optimizing models using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Hands-on experience on Processing, cleansing, and verifying the integrity of data used for analysis
• Creating automated anomaly detection systems and constant tracking of performance of models
• Should have great communication skills
• Having experience working in a banking and compliance domain will be added advantage.

Job Description:

We are seeking a skilled and proactive Data Analyst to join our team. In this role, you will play a crucial part in supporting our business development decisions through data analysis and insights. Your responsibilities will include monitoring key indicators, identifying potential issues, and collaborating with various business units to provide data analysis services.

Responsibilities:

• Understand the consumer finance business thoroughly and provide data analysis and insights to the team, aiding in decision-making for business development.
• Monitor and track key indicators of the consumer finance business consistently, analyzing any unusual fluctuations and identifying potential issues.
• Foster effective communication channels with business units and offer data analysis services.
• Contribute to the design and enhancement of risk control platforms, and actively participate in the establishment, deployment, and monitoring of credit models and anti-fraud rules.
• Engage in data mining and various modeling tasks, including feature extraction, integrated algorithms (e.g., GBDT, XGBoost), neural networks, and facilitate the implementation and application of data mining and modeling techniques in the consumer finance business.

Requirements:

• Bachelor's degree or higher in Mathematics, Physics, Statistics, Computer Science, or a related field in College of Science (COS).
• More than 1 year of experience in data analysis and the consumer finance industry, with a strong understanding of consumer finance risk control strategies.
• Solid foundation in mathematics and computer science, with a proactive attitude toward self-learning and research.
• Proficiency in data analysis, including strong analytical skills.
• Proficient in working with databases, such as MYSQL, Oracle, MongoDB, Hive, etc., including knowledge of database operations.
• Proficiency in at least one data analysis tool, such as SAS, R, SPSS, etc.
• Proficiency in one or several programming languages, such as Python.

• Do data collection, recording and some basic analysis
• Data Entry
• Other adhoc duties as assigned by supervisor

Requirements:

• Station in data centre with some noise
• Stand-up 1-2 hours continuously

Joy Yeow Zhi Qian

Personnel EA Registration Number: R2096261

Recruit Express Pte Ltd EA Licence No: 99C4599

Our client is from Medical Manufacturing industry. They are looking for a Inspector to assist their team for the next phase of their business. They are located in West.

Duties:

• Conduct routine lot Release functional tests for various products.
• Assist in functional and cross-functional testing for validation studies.
• Execute outgoing tasks, including visual inspections and management of finished products.
• Thoroughly perform required quality inspections/reviews.
• Maintain accurate records and documentation.
• Support daily routine tasks, ensuring timely production of quality work.
• Maintain an acceptable level of 5S housekeeping.
• Handle ad-hoc laboratory matters and duties assigned by the direct supervisor.

Requirements:

• Min 1 year of workig experience in QA & QC is required.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv. We regret that only shortlisted candidate will be notified.

Email address: [email protected]

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Reg. No. R23115873 (New Jirn Tone)

Grounded in a talent-centric mindset, Maker Lab is a marketing agency designed to build decentralised technology-led agency teams, rooted in collaboration with clients from the ground up. Maker Lab’s cross-functional teams of multidisciplinary specialists are embedded into client teams across digital marketing competencies — from measurement & analytics to content production.

Data Analyst (SG)

12 months fixed term contract

As a Data Analyst supporting our client - a technology company focused on the real estate market, you’ll play a pivotal role in owning goal-setting, strategy, measurement and analysis of their owned social channels, product and business. 

You’ll translate the data into meaningful and actionable insights for the business to develop campaigns, initiatives and business goals.

Role: 

• Own analysis, reporting and relevant dashboards of performance across APAC consumer marketing campaigns. 
• Identify core metrics, drive education of key metric drivers internally, and help set strategic paths towards measurable results
• Set up, maintain and develop social campaign databases across key markets and products to establish relevant baselines.
• Showcase and create learning decks with best-case practices to advance campaign effectiveness and creative excellence internally.
• Identify and build cases for opportunities to “cut through the noise.”  Translate complex analytics to easy-to-understand and engaging recommendations for internal marketing teams and relevant partner agencies working on social and consumer marketing initiatives.
• Lead discussions broadly around social campaign measurement (Paid, Owned, Earned) between client marketing teams and supporting agencies.

You:

• 4+ years of experience in an advertising, digital, or social media agency or in technology companies as a social media analyst, measurement analyst, data analyst or marketing analyst 
• Understanding different marketing measurement methodologies (e.g. creative testing, causal campaign reporting, brand metrics tracking) throughout the marketing/product funnel
• Skilled in data management and visualisation tools (Sheets, Slides, Data Studio).
• SPSS, R, and Python skills would be an added benefit but not a must.
• Capable of visualising data and quickly producing charts and graphs that tell a story to our client team and their internal marketers.
• Relevant skills in working with social listening tools (e.g. Brandwatch) and developing reliable syntaxes are a bonus but not a must-have.
• The ability to turn data into tangible learnings and recommendations that can be applied across marketing activities.
• Proven ability to drive mid/long-term measurement goals, campaign goals, KPIs and targets.
• The ability to be comfortable with ambiguity, asking questions and assuming positive intent in an often fast-paced environment with many stakeholders.
• Exceptional verbal and written English communication and presentation skills and, ideally, fluent in another Asian language to support the projects spanning across APAC.

Please note: due to the high volume of applications, only successful candidates will be contacted with a follow-up introduction email.  If you do not receive an email from Maker Lab, your application has been unsuccessful this time around. Look out for future roles! By submitting your application, you consent to the collection, use and disclosure of your data by the Maker Lab team for the purposes of your application. Where your application contains personal data of third parties, you confirm that you have obtained all necessary consents to provide the Maker Lab team with such personal data and that we may collect, use and/or disclose such data in accordance with the Personal Data Protection Act 2012.

• Company: MNC Chemical Manufacturing Company
• Location: Jurong Island, Company Transport Provided at Designated Point
• Salary: Up to $3300 + Transport Allowances $200 (Entry Level Degree Holder)
• Headcount: Permanent Role with AWS and Variable Bonus

Responsibilities:

• Contribute to the research and development of polymer products for value-added applications.
• Coordinate and execute day-to-day activities for product design projects, ensuring timely completion to meet new product development targets.
• Collaborate with Chemists to conduct commissioning and method development for new equipment, as well as enhance existing testing methods.
• Take a lead role in maintaining the smooth operation of the R&D laboratory, including regular equipment maintenance, preparation and revision of operating procedures, and adherence to Health, Safety & Environment protocols.

• Bachelor's Degree in Chemical/Polymer/Material Engineering or Chemistry.
• Diploma in Chemical Process/Material Technology with substantial experience in the Polymer Industry will also be considered.
• Experience in polymer material processing and testing is an added advantage.
• Strong team player with initiative, excellent analytical thinking, and communication skills.
• Proficient in Microsoft Office.
• Physically fit as required to carry loads in laboratory environment

If you are passionate about contributing to ground-breaking research and development in the polymer industry, we invite you to forward your CV in MS Word format to [email protected].

Triton AI Pte Ltd

Reg No. R1983718

License no. 21C0661

Nityo Infotech Services is looking for a Data Center System Operator (Entry Level). This is a permanent role with Nityo.

Responsibilities:

· 1st main task:
* monitor the health of the Mainframe Computer & Server via a console, which is a large computer monitor
* 3 status light, GREEN, AMBER, RED
* GREEN = everything is running well
* AMBER n RED = Systems displaying some problem
* require to escalate to Level 2 trouble shooting (Systems Administrator; Computer Engineer

· 2nd main task:
* help to do DATA Backup when on night duty, depending on which data centre you are deployed to

· Other ad-hoc tasks:
* print reports/ receipts
* escort Contractors into the data centre

Requirements:
· Min. 'O' Level Pass in Mathematics
· Candidate attending regular academic courses will NOT be considered
· Example of a Typical Shift Pattern (varies with different DCs)
2 rotational shifts: eg. 8.30am - 8.30pm; 8.30pm - 8.30am
*Work 3 days, Rest 2 days; Work 3 nights, Rest 2 days.
· 16 shifts/ 4-weeks. Weekends or PH could be a work day, or off day, depending on the roster
· Expected to cover up to 17 to 18 shifts /4-weeks period.

Working location: Singapore General Hospital

This is the pay structure for our entry level Sys Ops if u r selected, there will be no other allowances/AWS/Bonus etc. :
• $2,000 - $2,144 (incl. of shift allowance);

• 1-day salary /PUBLIC HOLIDAY (applies for both shifts or rest days)

Job Description:

· To work with sophisticated audience comprised of surgeons and healthcare professionals.

· To communicate with customer accounts regarding a variety of topics, including product updates, changes to product portfolio, and educational programs

· To Identify the needs of new prospects and develop appropriate responses

· To Cross-sell additional products or manage new product introductions as they become available

· To work with the sales team by receiving coaching, training or mentoring; transfer knowledge to peer Sales Representatives and to Sales Associates when needed.

· To Maintain training in product features/benefits, and other critical business applications

· To Collect competitive data and remain current on industry, customer, and competitive trend

· To Participate in professional association meetings outside of regular business hours, as required

Requirements:

· Must possess at least Degree

· Good analytical and questioning skills coupled with ability to develop and implement sales strategies

· Strong in interpersonal, communication and influencing skills

· Able to work independently with minimum supervision

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Data Scientist

6 months contract, high potential to renew

Come and join us!

Do you wish to work in a world-class organization trying your hands at something you have dreamt of doing?

“FIND YOUR PLACE” by joining a world-class US Healthcare company

Get an opportunity to explore new technology, learn new skills, enjoy the diverse and open culture, engagement and care, flexible working model, career opportunities, competitive salary and bonus, and endless amenities and benefits.

Company Description:

Our client is a US healthcare company with a broadly diversified business across consumer, pharmaceutical and medical device segments. With over $93B in 2021 sales, they have more than 140,000 employees across 60 countries with a heritage of more than 130 years.

Summary:

The Asia Pacific Data Science Center of Excellence Team within organisation Innovative Medicine is looking for an extraordinary data scientist who is passionate about crafting, developing, and fielding data science solutions that drive impact for patients.

We are currently looking for an enthusiastic Data Scientist with exceptional analytical, communication and problem-solving skills to join our data science team, as we work on transformational data science initiatives that are innovating and changing the way the organization operates.

As a member of the data science centre of excellence team, you will report to the Data Science manager, and will leverage your technical and communication skills to work on maintaining existing and developing new innovative data science models and algorithms. Your ability to learn quickly, demonstrate enthusiasm, bring a depth of machine learning understanding, and an appreciation for developing great products for our customers will be paramount to your success in this role. Primary focus areas include improving customer engagement, supporting our different therapeutic areas with innovative products. Specifically, you will:

• Maintain machine learning pipelines (I.e. exploratory data analysis, build and maintain features, train, and validate machine learning models).
• Collaborate with data scientists, analysts, project managers, engineers across APAC to conceive, develop, and implement new analytics solutions to high-priority problems our stakeholders face.
• Support the building and optimization of statistical and AI ML models by identifying valuable data sources and undertake pre-processing of structured, unstructured, and noisy data.
• Apply modelling techniques to build, test and validate basic models using simpler and cleaner datasets.
• Learn and upskill on additional data scripting languages or statistical / mathematical software as required.
• Participate in internal and external forums, committees, conferences, associations, etc.
• Seek out data science trends and best practices to integrate into the organization practices and methods.

Qualifications

Key to your success in this role will be your strong analytical skills combined with the ability to diagnose issues and enthusiasm for data problem solving. Other requirements include:

• Masters, PhD, or equivalent degree in a STEM (Science, Technology, Engineering, and Mathematics) discipline is required. Examples include but are not limited to Computer Science, Statistics, Mathematics, Machine Learning, Physics, Pharmacy, Molecular Biology, Bioinformatics, Computational Informatics, Computational Biology, or a related discipline.
• Proficiency in Data Science and Machine Learning Engineering, with a solid understanding of machine learning algorithms.
• Demonstrated experience in developing and deploying machine learning models in production systems.
• Strong programming skills in Python for data manipulation, analysis, and model development.
• Solid understanding of software engineering principles and ability to write clean, maintainable, and scalable code.
• Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and distributed computing frameworks (e.g., Spark) is a plus.
• Strong problem-solving skills, attention to detail, and ability to work independently with limited guidance.

Interested parties, please click on APPLY button.

Alternatively, you can share your CV at [email protected]

EA License: 94C3609

Reg No: R1440247

Job Descriptions:

• Perform month-end accrual activities.
• Record and process all business transactions in the accounting system using double entry accounting.
• Compile the relevant business documentation used in banking processes.
• Monitor GRIR and timely payment processing.
• Ensure billing completeness, Monitor collection of debts.
• Communicate with internal stakeholder on collection / payment queries.
• Use relevant Infocomm technology systems and tools effectively for data analysis.
• Enter accurate data into the accounting system.
• Assign account codes to all transactions in the accounting system.

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

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R22111375 Chua Jie Lin

(Hiring for new branch at BUKIT BATOK area)

IF YOU ARE looking for...

• Career advancement with work-life balance;
• Substantial flexibility in workplace;
• Creative performance bonus;

Responsibilities:

• Serve as one of a key contact for machine installation and services;
• Assist on technical training to customers;
• Excellent communicate skills to interact with suppliers and customers;
• Solid technical knowledge to provide professional solution on customers’ inquiries;
• Other Ad-hoc duties as required by the superior;

Requirements:

• Obtain min. Diploma in Engineering (any fields) or equivalent;
• Someone without relevant working experiences also welcomes to apply as on-job training will be provided;
• Pro-active, possess technical and problem-solving skills with attention to details;

How to apply,

Please submit your application together with your comprehensive resume, not limited to the education background, career history (if any), current and expected salary(if any), and availabilities to commence work by ‘Apply’ the link.

(We regret to inform you that only shortlisted candidates will be notified)

Life at Grab

At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.

Get to know the Team

• In the Demand Data Science team you are at the core and center of Grab’s ride hailing and deliveries business. We are responsible for building ML models and serving them in production to support Grab’s Advertising and Marketing services.
• Our primary goals are to help consumers discover the most attractive product, to enable the most efficient marketing campaigns for our merchants/advertisers to meet their business goals, and to build a sustainable business on our platform.
• We apply machine learning, forecasting, recommendation and optimisation techniques to huge datasets in order to model how our consumers interact on our platform under different marketing strategies. We also continuously run large-scale live experiments to improve on our implementations.

Get to know the Role

Explore and extract insights from massive dataset of geospatial, behavioral, economic, and tens of millions of interactions of our customers on our platform across multiple business verticals (eg, Food, Mart, Transport, etc) regionally

The Day-to-Day Activities

• Implement, validate, test, and deploy data science solutions to address particular business use cases, Scope of work includes, but is not limited to, customer segmentation, customer LTV, recommendation, conversion rate prediction, rank & re-rank, demand forecasting, campaign targeting and optimisation, etc.
• Continues improvement through iterative model enhancement and A/B testing.
• Collaborate with other data scientists, software engineers, and business operation teams to deliver business solutions.

The Must-Haves

• Master's Degree graduate in Machine Learning, Statistics, Applied Mathematics, Computer Science, Economics, Operations Research, or a related field.
• Understanding of machine learning, deep learning, data mining, algorithmic foundations of optimization.
• Proven track record of fast learning of new data science and ML/AI technologies.
• Experience with machine learning framework (scikit-learn, Spark MLlib, Tensorflow, pytorch, etc)
• Proficient in one or more of the following programming languages: Python, Scala.
• Self-motivated, independent learner, and willing to share knowledge with team members.
• Detail-oriented and efficient time manage in a dynamic working environment.

The Nice-to-Haves

• Experience with building recommender systems, customer segmentations, campaign targeting, Ads bidding, campaign optimisation and etc.
• Experience with algorithm and model development for large scale applications.
• Hands-on experience with one or more big data processing frameworks such as Spark.
• Experience with applying CI/CD principles to data science projects.
• Experience with real-time data processing technologies such as Flink, Kafka, etc.

Our Commitment

We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.

Responsibilities

• Demonstrate understanding of the business to identify, analyse and interpret patterns or trends in data sets that help in improving business performance.
• Import data from various external and internal sources to bring meaningful insights into the business.
• Build and maintain tableau dashboard for departments and management to track key indicators.
• To write R/Python scrips to transform existing data to obtain approximation of required data.
• Identify data sources; collect data through manual or automated means; source missing data; clean, transform and organize data into usable format/structure.
• Support in data flow and process flow documentation and identify gaps.

Requirements

• A bachelor's degree in a related field such as mathematics, statistics, computer science, economics, or information management is required.
• 2 to 5 years of relevant work experience
• Strong analytical skills are essential for interpreting complex data sets and identifying trends, patterns, and insights.
• Proficiency in programming languages commonly used in data analysis such as Python, R, SQL, or others.
• Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.
• Understanding of mathematical concepts such as probability, calculus, algebra, and statistics is crucial for analysing data effectively.
• Understanding of business processes and objectives to provide data-driven recommendations and insights that align with organizational goals.
• Familiarity with database systems and data querying languages (MS SQL).

Interested candidates who wish to apply for the advertised position, please click APPLY to submit your resume.

EA License: 13C6305

Reg. No.: R22108000

For candidate who applied for the advertised position is deemed to have consented to us that we may collect, use, or disclose your personal information for purpose in connection with the services provided by us.