What we are looking for:

- Not suitable for Data engineers who have never worked on a user facing application

- Not suitable for middleware system engineers/system integrators

- Not suitable for Pure project managers/scrum masters. The person has to be hands on technically

- Machine Learning System & Dynamic Customer Risk Score Projects Domain Details (EDA process, Stratified sampling, Standard machine learning process, Feature engineering)

- Main Requirements Are:

1. Strong Experience application solutioning for interface connectivity such as APIs for ETL processes

2. Systems Architecture/Technical Design and BAU Issues Resolution

Job Objectives

To support AML (Anti-Money Laundering) Projects/CRs related to KYC Dynamic Customer Risk Score

Key Responsibilities

• Participate in end-to-end projects for system implementation of machine learning system

• Engage and collaborate with Architects, Security and Development Lead to ensure solution design complies with enterprise design principles, security and control standards

• Liaise with application teams across group and countries build the enhancements according to the technical solution plan

• Analyse user requirements and convert requirements to design document and other system documentation to capture key design decisions.

• Ensure scalability and maintainability of applications

• Plan technical deliverables, perform design and development works to meet project’s requirements within schedule

• Perform data mapping and process mapping with interfacing applications

• Escalate issues that impacts project schedule on timely basis and propose workarounds/resolutions

• Create technical documents for the solutions. Compile timely, comprehensive, and accurate documentation as requested

• Test, maintain and recommend software improvements to ensure strong functionality and optimization

• Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing

• Partner with Test Management teams to ensure completion of SIT, UAT, performance / load testing and application security testing

• Liaise with other application teams and business users to prepare test data to support test scenarios

• Manage project change request approval windows and deployment schedule

• Facilitate and provide technical and testing support before and after production deployment

• Liaise with other units across IT and Business in the organization

• Manage external vendors for project delivery within schedule

Key Requirements

Must Have

• More than 10 years assuming techno functional role in compliance technology(preferred) or risk/finance technology

• At least 8 years of experience in application and process design

• Ability to multitask effectively and handle large amounts of data

• Moderate SQL skills are required

• Highly driven, pro-active and a strong team player

• Excellent interpersonal skills and written and verbal communication skills in English

Good to Have

• Experience in Hadoop ecosystem and technologies

• Experience in NoSQL database or Big Data

• Experience in Git, Jenkins, JIRA

• Experience in SharePoint and Confluence

• Experience / knowledge in Unix Shell Scripting, Oracle, Java and Python, Spark•

Our company is at the forefront of innovation in financial technology. Our mission is to develop AI-driven strategies that predict market trends.

We're looking for talented individuals to join our newly founded trading team in our Singapore office as Machine Learning Developers with a specialization in predictive finance.

Responsibilities:

• Develop and implement machine learning predictive models.
• Collaborate closely with team members to create data-driven trading strategies and algorithms.
• Conduct research on academic literature.
• Explore various data sources to craft insightful features for machine learning models.
• Continuously improve and monitor the performance of the ML models.
• Stay up-to-date with the latest trends in machine learning.

Qualifications:

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Mathematics, or a related field.
• Experience: 5+ years of experience in machine learning.
• Technical Skills: Proficient in Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.
• Financial Acumen: Interest in financial markets, trading, and economics. A deep understanding of these subjects is strongly preferred but not required.
• Problem-Solving: Outstanding problem-solving skills with the ability to apply machine learning techniques to complex market data.
• Communication: Strong verbal and written communication skills to work effectively within our collaborative team.

Preferred Qualifications:

• Experience with time-series analysis and forecasting.
• Knowledge of the financial industry and experience working with big data.
• Independent research experience.

Job Objectives

To support AML (Anti-Money Laundering) Projects/CRs for Singapore and Regional entities

Key Skills:

Shell Script, SQL, Spark, Python, System Diagram

-This role is not data engineering and not suitable for Data engineers who have never worked on a user facing application. Databases are not considered~ applications

-This role is a not a systems engineer role

- This role is not a Pure project managers/scrum masters. The person has to be hands on technically

- Machine Learning System & Dynamic Customer Risk Score Projects Domain Details: EDA process, Stratified sampling, Standard machine learning process, Feature engineering

Key Responsibilities

• Participate in end-to-end projects for system implementation of machine learning system

• Engage and collaborate with Architects, Security and Development Lead to ensure solution design complies with enterprise design principles, security and control standards

• Liaise with application teams across group and countries build the enhancements according to the technical solution plan

• Analyse user requirements and convert requirements to design document and other system documentation to capture key design decisions.

• Ensure scalability and maintainability of applications

• Plan technical deliverables, perform design and development works to meet project’s requirements within schedule

• Perform data mapping and process mapping with interfacing applications

• Escalate issues that impacts project schedule on timely basis and propose workarounds/resolutions

• Create technical documents for the solutions. Compile timely, comprehensive, and accurate documentation as requested

• Test, maintain and recommend software improvements to ensure strong functionality and optimization

• Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing

• Partner with Test Management teams to ensure completion of SIT, UAT, performance / load testing and application security testing

• Liaise with other application teams and business users to prepare test data to support test scenarios

• Manage project change request approval windows and deployment schedule

• Facilitate and provide technical and testing support before and after production deployment

• Liaise with other units across IT and Business in the organization

• Manage external vendors for project delivery within schedule

Key Requirements

• More than 10 years assuming techno functional role in compliance technology(preferred) or risk/finance technology

• At least 8 years of experience in application and process design

• Ability to multitask effectively and handle large amounts of data

• Moderate SQL skills are required

• Highly driven, pro-active and a strong team player

• Excellent interpersonal skills and written and verbal communication skills in English

Good to Have

• Experience in Hadoop ecosystem and technologies

• Experience in NoSQL database or Big Data

• Experience in Git, Jenkins, JIRA

• Experience in SharePoint and Confluence

• Experience / knowledge in Unix Shell Scripting, Oracle, Java and Python, Spark

Our Client is one of the Top 10 Fortune 500 MNC in the Oil and Gas industry.

Job Purpose

The MTAC Excellence Analyst works across the Maintenance, Turnaround, and Construction (MTAC) organization and with their stakeholders to drive continuous improvement. He has the responsibility, to implement, align, sustain and improve the work processes in the Client’s MTAC Department.

1. Provides leadership and drives improvements to achieve Productivity and Cost Competitiveness in all MTAC activities.

2. Drives Consistent Performance as per Maintenance Execution (ME), Turnaround(TA) and Capex/Plant Change Request(PCR) process. This is to ensure end-to-end integrated delivery of performance within MTAC.

3. Ensure Safety, Reliability, and Availability of facilities to meet business needs

Job Scope

Providing support in MTAC Excellence:

1. Manage transition in changes in ERP
2. MTAC initiatives tracking and control
3. Ensure and track IW41 SAP time confirmation
4. Cost analysis
5. ME procedure and work instructions updating
6. MTAC report consolidation and Analysis

Providing support in Contract Performance:

7. Consolidation of Contractor Activity Analysis data
8. Site verification on Activity Analysis
9. Comparison of actual man hours vs SoN/plan Manhours
10. LOD on Contractor Data for PO, claims
11. FTE Headcount reporting
12. Updating of Contractor KPI
13. Worker Survey data – consolidation and prepare chart
14. Fatigue report
15. Managing MS Teams for contractors, set up , addition/deletion of members

Requirements

- Diploma or Bachelor in Engineering

- At least 3 years of IT, Maintenance, Engineering related experience, preferably in Oil and Gas.

- Basic knowledge in Coding, AI and Digitalization

- Preferred with SAP knowledge

- Good HSE knowledge including HSE management systems

- Good communications, presentation and interpersonal skills

If you are keen to know more about this role, please email Mary at [email protected] and send your resume in MS Word format. Note that only shortlisted candidates will be contacted.

By sending us your personal data, you are deemed to consent to RMA Consultants Pte Ltd and its affiliates collecting, using and disclosing your personal data for the purposes set out in our Data Protection Policy at http://bit.ly/3GHgskn and Privacy Policy at http://bit.ly/3W63rp7

“This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to RMA Group’s PDPA and e2i’s PDPA.”

Mary Marquez (EA Regn No: R1326974)

RMA Consultants Pte Ltd (EA Licence No: 93C4403)

Our company is at the forefront of innovation in financial technology. Our mission is to develop AI-driven strategies that predict market trends.

We're looking for talented individuals to join our newly founded trading team in our Singapore office as Machine Learning Developers with a specialization in predictive finance.

Responsibilities:

• Develop and implement machine learning predictive models.
• Collaborate closely with team members to create data-driven trading strategies and algorithms.
• Conduct research on academic literature.
• Explore various data sources to craft insightful features for machine learning models.
• Continuously improve and monitor the performance of the ML models.
• Stay up-to-date with the latest trends in machine learning.

Qualifications:

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Mathematics, or a related field.
• Experience: 5+ years of experience in machine learning.
• Technical Skills: Proficient in Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.
• Financial Acumen: Interest in financial markets, trading, and economics. A deep understanding of these subjects is strongly preferred but not required.
• Problem-Solving: Outstanding problem-solving skills with the ability to apply machine learning techniques to complex market data.
• Communication: Strong verbal and written communication skills to work effectively within our collaborative team.

Preferred Qualifications:

• Experience with time-series analysis and forecasting.
• Knowledge of the financial industry and experience working with big data.
• Independent research experience.

Our company is at the forefront of innovation in financial technology. Our mission is to develop an AI-driven platform that predicts market trends, empowering retail investors with the tools previously only accessible to professionals. We're looking for a talented Senior Machine Learning Developer with an interest in finance to join our growing team in our Singapore office.

Responsibilities:

• Develop and Implement Machine Learning Models: Design, build, and implement predictive models to forecast market trends, enhancing our platform's capabilities.
• Collaborate with Cross-Functional Teams: Engage closely with data engineers, quantitative researchers, and product managers to create data-driven trading strategies and algorithms.
• Data Analysis and Feature Engineering: Utilize various data sources to craft insightful features for machine learning models.
• Continuous Improvement: Monitor and fine-tune models for peak performance and efficiency.
• Stay Up-to-Date: Maintain awareness of the latest trends in machine learning and predictive modeling.

Qualifications:

• Education: Bachelor's/Master's/Ph.D. in Computer Science, Mathematics, or related field.
• Experience: 5+ years of experience in machine learning.
• Technical Skills: Proficient in Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.
• Financial Acumen: Interest in financial markets, trading, and economics. A deep understanding of these subjects is strongly preferred but not required.
• Problem-Solving: Outstanding problem-solving skills with an ability to apply machine learning techniques to complex market data.
• Communication: Strong verbal and written communication skills to work effectively within our collaborative team.

Preferred Qualifications:

• Experience with time-series analysis and forecasting.
• Familiarity with cloud computing platforms like AWS, Azure, etc.
• Knowledge of financial industry and working with big data.

Our company is at the forefront of innovation in financial technology. Our mission is to develop an AI-driven platform that predicts market trends, empowering retail investors with the tools previously only accessible to professionals. We're looking for a talented Senior Machine Learning Developer with an interest in finance to join our growing team in our Singapore office.

Responsibilities:

· Develop and Implement Machine Learning Models: Design, build, and implement predictive models to forecast market trends, enhancing our platform's capabilities.

· Collaborate with Cross-Functional Teams: Engage closely with data engineers, quantitative researchers, and product managers to create data-driven trading strategies and algorithms.

· Data Analysis and Feature Engineering: Utilize various data sources to craft insightful features for machine learning models.

· Continuous Improvement: Monitor and fine-tune models for peak performance and efficiency.

· Stay Up-to-Date: Maintain awareness of the latest trends in machine learning and predictive modeling.

Qualifications:

· Education: Bachelor's/Master's/Ph.D. in Computer Science, Mathematics, or related field.

· Experience: 5+ years of experience in machine learning.

· Technical Skills: Proficient in Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.

· Financial Acumen: Interest in financial markets, trading, and economics. A deep understanding of these subjects is strongly preferred but not required.

· Problem-Solving: Outstanding problem-solving skills with an ability to apply machine learning techniques to complex market data.

· Communication: Strong verbal and written communication skills to work effectively within our collaborative team.

Preferred Qualifications:

Experience with time-series analysis and forecasting.

Familiarity with cloud computing platforms like AWS, Azure, etc.

Knowledge of financial industry and working with big data.

Benefits:

Competitive salary and performance-based incentives.

Dynamic and collaborative working environment.

Comprehensive benefits package, including healthcare.

Continuous learning and professional growth opportunities.

Job Decription

• Perform sample analysis accurately in accordance to the specified standard methods
• Prepare chemical stock solutions and reagents
• Standardize reagent/equipment when necessary
• Review the results and retest when it is suspect
• Upkeep the cleanliness of work areas, apparatus and equipment
• Perform any tasks as assigned by team leader or supervisor

Job Requirements

• Candidate must possess at least Diploma/Advanced/Higher/ Graduate Diploma In Chemistry or equivalent
• At least 2 Year(s) of working experience in Petroleum Testing is required for this position.
• Experienced lab technician specialized in Petroleum Laboratory
• Well spoken English and communication skills
• Computer Literate
• Should be able to work in 12 Hour Shifts
• Able to work during Weekends & Public Holidays

Have an opportunity to earn up to S$5000 per month

You will lead projects in the design, development and implementation of analytical models through strategic use of data asset for delivering efficient and effective healthcare. You will be the subject matter expert for one of the following areas: Natural Language Processing (NLP), Graph Analytics, Operation Optimization, Genomics Analytics, Blockchain for healthcare or any emerging areas that can transform the data landscape in healthcare.

You will collaborate with clinicians and end users to conceptualise solutions that address the organisation’s challenges with appropriate data and techniques in Data Science, Machine Learning and Artificial Intelligence. You will drive the framing and scope the business problem for various domains across Clinical services, Finance and Operations together with key stakeholders. You will lead the implementation of end-to-end Data and Machine Learning Operations pipeline through best practices in validation and test-driven development, continuous deployment, model monitoring and continuous re-training/integration in order to benefit and make an impact to users. You will also spearhead and conduct feasibility studies on machine learning technology stacks that will benefit and impact Singhealth, as well as facilitate regular key management meetings and reporting.

Job Requirements

• Master’s or Bachelor’s Degree in Computer Science, Applied Mathematics, Statistics, Operations Research, Engineering, Data Science, Artificial Intelligence, Knowledge Engineering or related quantitative disciplines. Doctorate Degree is an advantage.
• Preferably 10 years of hands-on experience (including postgraduate research) in data mining, machine learning modelling (computer vision, natural language processing, regression, time-series etc.) and optimization.
• Provide deep expertise and advisory in development of applications/projects using NLP methods to extract relevant data from unstructured/semi-structured dataset.
• Possess in-depth experience in applied machine learning methodology which includes Exploratory Data Analysis, data cleaning and preparation, model training and hyper parameter tuning, model selection and model deployment.
• Proficient in data science and programming languages such as Python, R, Scala, machine learning and NLP frameworks such as sklearn, tensorflow, Pytorch, spacy, HuggingFace, etc.
• Knowledgeable in SQL, Hadoop/Spark, Graph Database and related databases.
• Strong analytical and quantitative solving ability with excellent communication and leadership skills.
• Meticulous and able to work independently effectively.
• Prior experience in healthcare is an advantage.
• Must be fully vaccinated against COVID-19