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 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.

The Job:

• Responsible for managing day to day workplace housekeeping, repair, maintenance and servicing of office premises and equipment
• Ability to conduct minor repairs like pedestal repair, tightening of door hinges
• Monitor and record keeping of all facilities related expenses.
• Manage and negotiate all facilities contracts and ensure proper system records in Bank’s systems.
• Responsible for all major and minor renovation projects, including regular maintenance works carried out by the contractors and adhere to all budget and timelines, sometimes working on weekends and after hours

The Requirements:

• Min Diploma/ Degree Holder with min 5-8 years of relevant working experience
• Proficient in MS Office

Interested applicants can send their detailed resumes to [email protected] or call JANE @ 6735 1955.

CEI: R1104482

JANE LUI JIE'EN

The Job:

• Responsible for managing day to day workplace housekeeping, repair, maintenance and servicing of office premises and equipment
• Ability to conduct minor repairs like pedestal repair, tightening of door hinges
• Monitor and record keeping of all facilities related expenses.
• Manage and negotiate all facilities contracts and ensure proper system records in Bank’s systems.
• Responsible for all major and minor renovation projects, including regular maintenance works carried out by the contractors and adhere to all budget and timelines, sometimes working on weekends and after hours

The Requirements:

• Min Diploma/ Degree Holder with min 5-8 years of relevant working experience
• Proficient in MS Office

Interested applicants can send their detailed resumes to [email protected] or call JANE @ 6735 1955.

CEI: R1104482

JANE LUI JIE'EN

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.

What this job involves:

Greasing the wheels of day-to-day operations

You will be involved in the overall upkeep of plant and facilities equipment to ensure smooth daily operations. To do this, you’ll need to regularly inspect all equipment rooms and other facilities, and take note of any problems using the predefined checklists. Also part of your responsibilities is to walk the duty technicians through weekend work plans, and give out technical recommendations, as needed.

Being the front line for maintenance needs

Our clients will come to you for equipment fixes, so you’ll be expected to be skilled in carrying out repairs. At the same time, you should always be ready to get hold of vendors to do maintenance work at a moment’s notice. On top of this, you’ll also have to speed up any required equipment moves, adds and changes implementation. In every decision or action you will make, you’ll need to keep in mind that you follow local governmental rules and regulations to avoid any legal troubles.

Sound like you? To apply, you need to be:

Certified and experienced

Are you certified to do electrical or mechanical repair? Have you worked in a facilities and maintenance role before? If yes, then you are who we’re looking for!

Good-natured and customer-oriented

Can you clearly report issues and problems and provide clear instruction to repair bugs and malfunctions? To serve clients the best way possible, good communication skills—both written and spoken—will also be indispensable for this role.

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.