We are seeking a SAP Senior Data Migration Consultant specialized in MM/PP with proven experience in managing ECC to S/4HANA migrations. You should have a deep understanding of data migration strategies, SAP system landscapes, firsthand experience with SNP CrystalBridge for Bluefield transformations and good knowledge and hands-on experience with SAP S/4HANA.

Key Responsibilities:

• Design and implement a data migration strategy, ensuring it aligns with business objectives and leverages the capabilities of SAP S/4HANA.
• Utilize SNP CrystalBridge along with the Bluefield approach for condensed data and business process migration.
• Implementation and Customizing of MM/PP module in target system
• Conduct system analysis, performance tuning, and post-migration review to confirm effective transition to S/4HANA.
• Discuss and Perform data models and data mapping for transitioning from the ECC system to the S/4HANA system.
• Document the data migration process, mapping, and technical details for future reference and continuous improvement.
• Provide insights, lessons learned, and suggest best practices for S/4HANA migration project.

Requirements:

• Hands-on experience in utilizing the SNP CrystalBridge tool with the Bluefield approach.
• Understanding of key SAP functional areas as per the scope of the project.
• Excellent MM/PP module knowledge in ECC and S/4 environment
• Excellent problem-solving, analytical, and documentation skills
• Extensive experience in managing end-to-end data migrations from SAP ECC to SAP S/4HANA.
• Profound understanding of the SAP S/4HANA data model, architecture, and its functionalities.
• Minimum 4 end-to-end implementation lifecycles
• Good communication and interpersonal skills
• Masters degree in Computer science or equivalent
• SNP Ambassador Mission Control Certificate
• Excellent English language skills – German language skills is a bonus
• Singaporeans/ PR preferred

Responsibilities:

· Process company application

· Checks for disbursement

· Exception handling and refunds

· Attend to escalated enquiries on claims

· Collation of data / information / statistics for regular reporting

· Provide administrative support

· Undertake additional tasks as assigned

Requirement

· Diploma in any discipline

· Admin exp are welcome to apply

· Entry level with No Exp are welcome to apply

Interested candidates please send a copy of your resume to [email protected]

Consultant In-Charge: Daniel Lee / R1989151

We are looking for a Contract Technician to be outsourced to our clients from the manufacturing industry.

Job Description:

• Assembly of parts
• Heatstaking of inserts
• Other ad hoc duties

Job Requirements:

• Min N/O/A Level/Nitec

All qualified applicants, please send in your resume to:

[email protected]

Tricia Celestine Goh (R1981653)

Recruit Express Pte Ltd | Company Reg. No. 199601303W | EA License Number: 99C459

Job Description:

• Permform duties as needed and mention during training (for roles respective roles chosen)
• Assisting guests from time to time
• Ensure strictest compliance with regulatory requirements, established policies, standard operating procedures, internal controls & service standards.

Requirement:

• No phone allows (to be kept in lockers)
• Position like Slot ambassador (Needs to stand for 2 hours continuously and 30 min break thereafter)
• Provide good customer service.

Additional Information:

• Meal Provided
• Company transport provided for midnight shift.
• Company provided AWS; Night shift allowance provided.

We regret that only shortlisted candidates will be notified.GMP Recruitment Services (S) Pte Ltd | EA Licence: 09C3051 | Remus Gan | Registration No: R21102972

The Job:

• Perform processing of electricity supply applications
• Monitoring of performance statistics
• Preparation of supply applications performance and remittance report
• Perform tagging of tenant meters
• Raise refunds for service quotations
• Check and issue service connection quotations
• Issue payment acknowledgement letters
• Coordinate and attend meetings with customers, LEWs and Principals.
• Assist in special projects assigned

The Requirements:

• Min Diploma in Business
• Proficient in MS Office
• Good communication and interpersonal skills

Interested applicants can send their detailed resumes to [email protected] .

Responsibilities

• Oversee building and data centre facilities; recording and reporting on the BMS / EMS / Fire D&P / Chiller / Electrical etc.
• Administrator for preventative maintenance programs to ensure that equipment are properly serviced & maintained.
• Maintain good documentation of facilities and / or equipment maintenance.
• Prepare monthly SLA reports for equipment uptime, power usage & temperature readings.
• Respond to emergency situation and be on 24x7 standby duty.
• Prepared to be on 24x7 standby recall to provide extra manpower coverage when necessary.
• Oversee new data centre projects as well as renovation and maintenance to existing space.
• Responsible to handle site inspections / audits by external authority (eg. HDB / LTA / NEA / FSB).
• Schedule and track servicing jobs and vendor management on a daily basis.
• Maintain high customer service level standards.
• Managed all facilities contracts.

Education & Certification Requirement

• Diploma/ Degree in Building/ Facility Management or any other related field
• Minimum 1-2 years of relevant working experience

Skills & Experiences Requirement

• Must possess broad-based knowledge and skills in the areas of building technology, mechanical and electrical services and facilities management
• Must possess relevant experience in Data Centre facility management and vendor management
• Good interpersonal communication skills
• Project management is preferred
• Good ability to multi-task and job tracking skill

About Preqin

You will be joining the world’s leading data and insights provider for the alternative assets market. We empower the global financial community with critical information and leading analytics solutions to help them makefaster and smarter investment decisions, and to make them with confidence. A forward-thinking company, we lead our industry through innovation. We trust in the power of data, and we use it to increase transparency in alternatives. We believe that access to information leads to more investment in the ideas and infrastructure that build strong communities.

Job overview

Data is core to Preqin’s industry offerings, and the Data and Research Management (DRM) team delivers accurate, timely and complete data enhancing the value of our award-winning offerings. The trust in our underlying content enables our clients to make key investment decisions. Besides collecting content, the data management team collaborates extensively with our internal and external clients to improvise our offerings leveraging technology and subject matter expertise. The team understands the life cycle of data and establishes business intelligence reports seeking operational excellence.

As a Data Management – Operations Support Intern, you will join the Data Shared Services (DSS) team and be responsible for maintaining existing data workflows & automation with opportunities to participate in building & executing new developments for the DRM department. This role will also include handling queries, responding to errors & feedback with stakeholders.

In this role you will:

• Maintain, run & troubleshoot existing data workflows & automation.
• Engage with stakeholders to answer queries, respond to errors and/or feedback.
• Assist in building new data workflows & automation.
• Assist in ongoing projects as well as adhoc data analysis.
• You are a good fit if:
• You are strongly self-motivated, proactive, and willing to learn.
• Strong interest in building data tools & automation as well as analysing data.
• Analytical and problem-solving mindset with ability to break down high-level requirements into actionable solutions and to think outside the box.
• Strong communication skills to engage with internal stakeholders.
• Proficient in Excel (preferably with pivot tables), experience with Alteryx is an advantage.

Our culture and values:

At Preqin, we’re aligned around common values – our shared beliefs that shape Preqin’s corporate culture:

Be customer-obsessed
We exist for our customers. We listen to them and understand their challenges. We design best-in-class data solutions for their success. 

Act with integrity 
We build trust through honesty and transparency. We’re committed to doing the right thing for our customers, our company, and each other. 

Own your success  
We’re a high-performance team. We challenge and champion each other in our pursuit of excellence. We never stop learning and strive to become experts in our fields.

Think forward  
We lead the industry through innovation. We foster collaboration and creativity to solve our clients’ next challenge and give them a competitive advantage.  

Make an impact 
We drive positive change as individuals, and as a company. We’re passionate about creating a better tomorrow for our industry and our communities.

Equal Opportunities:

Preqin is an equal opportunity employer where diversity is at the heart of our business. It is the policy of Preqin to ensure equal employment and consider all qualified applicants without regard to race, colour, religion, sex, sexual orientation, marital status, gender identity or expression, national origin, age, disability, pregnancy, veteran status, genetic information, socioeconomic status, political affiliation, or any other basis prohibited by applicable law. Preqin is committed to offering an inclusive and accessible experience for all job seekers, so everyone has the opportunity to be successful. If you need a reasonable accommodation during the application process due to a disability, please let the Preqin recruiter know at the start of the application process. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process.

Masters/ PhD in a quantitative discipline, such as Mathematics/Statistics, Quantitative Finance, Computer Science, Engineering, or equivalent experience, finance background , research background

Responsibilities:

1. Utilize extensive financial datasets to drive the bank's Treasury and Market department's data science solutions for pricing, campaign optimization, product recommendation 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:

1. Masters/ PhD in a quantitative discipline, such as Mathematics/Statistics, Quantitative Finance, Computer Science, Engineering, or equivalent experience, finance background , research background

2. Proficient in the data science production life cycle, with a track record of working with structured, semi-structured, and unstructured data.

3. 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.

4. Experience applying quantitative and machine learning algorithms to pricing and marketing domains.

5. Demonstrable expertise in econometrics, statistical modelling, time-series analysis, causal inference, or other relevant domains.

6. Solid understanding of foreign exchange markets, including currency pairs, market dynamics, and key drivers.

7. Hands-on experience in designing and executing digital campaigns and experimentation methodologies, including A/B testing, bandit-based experiments and multivariate analysis.

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

Follow us for more updates, interview tips!
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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.