193 Data Science Manager jobs in Singapore
Senior Data Science Project Manager
Posted 8 days ago
Job Viewed
Job Description
ST Engineering is a global technology, defence and engineering group with offices across Asia, Europe, the Middle East and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives. Our dedication to excellence and our strong track record have earned us a distinctive reputation for quality and trust spanning across the aerospace, smart city, defence and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.
Join our Cyber Team
We are an industry leader in cybersecurity with over two decades of experience, we deliver a holistic suite of trusted cybersecurity solutions to empower cyber resilience for government and ministries, critical infrastructures, and commercial enterprises. Backed by our indigenous capabilities and deep domain expertise, we offer robust cyber-secure products and services in cryptography, cybersecurity engineering, digital authentication, SCADA protection, audit and compliance. We specialise in the design and build of security operations centres for cybersecurity professionals and provide managed security services to strengthen the cybersecurity posture of our government and enterprise customers.
We work with organizations to protect them from cyber threats. We help detect new unknown cyber threats through research, fortify networks, and defend critical information infrastructures. Our team consists of cybersecurity experts who use the advanced techniques and technologies to deliver cutting-edge solutions and services.
We are seeking a dynamic Senior Data Science Project Manager who ispassionate about both leadership and hands-on management, capable of delivering high-quality data science solutions in complex environments.
Responsibilities :
Project Management & Leadership:
• Oversee end-to-end execution of data science projects, ensuring alignment with business objectives.
• Act as both Project Manager and Scrum Master to facilitate efficient project delivery.
• Organize and manage project timelines, sprint planning, and progress tracking.
• Foster communication between stakeholders, teams, and clients to ensure transparency and success.
Strategic Planning & Business Process Analysis:
• Analyze business requirements and translate them into functional specifications for data science applications.
• Define key project goals, success metrics, and risk mitigation strategies.
• Align data science initiatives with organizational priorities and operational workflows.
Data Science & Machine Learning Oversight:
• Lead the deployment and operationalization of machine learning models and AI-driven solutions.
• Work closely with data scientists to develop scalable and efficient data pipelines.
• Ensure seamless integration of analytical models into production environments.
Team Leadership & Collaboration:
• Mentor and guide data science teams, fostering professional growth and collaboration.
• Establish best practices for model deployment, data governance, and quality control.
• Encourage a culture of experimentation, learning, and continuous improvement.
Technology & Infrastructure Management:
• Oversee the adoption of best practices in MLOps, DevOps, and cloud infrastructure for data science projects.
• Advocate for the use of scalable technologies and efficient workflows in data science development.
• Ensure compliance with security policies, data privacy regulations, and industry standards.
Requirements:
Experience:
• 7+ years of professional experience managing data science, AI, or machine learning projects.
• Proven track record of successfully leading and delivering complex data-driven solutions.
• Experience working in cybersecurity, finance, healthcare, or other high-stakes domains is a plus.
Skills:
• Expertise in data science methodologies, including machine learning, statistical analysis, and AI frameworks.
• Strong proficiency in Python, with familiarity in ML frameworks like PyTorch.
• Solid understanding of Data Science Architectures and DevOps practices.
• Knowledge of CI/CD pipelines, model monitoring, and automation tools is a plus.
Leadership & Project Management:
• Strong leadership skills with experience as a Project Manager or Scrum Master.
• Proficiency in Agile methodologies and tools like Jira.
• Excellent problem-solving, organizational, and communication skills.
Preferred Qualifications:
• Certifications in Project Management or Agile methodologies (e.g., PMP, CSM) is a plus.
• Experience in designing and deploying scalable data science solutions.
Work Location: Jurong East
Find out more:
ST Engineering believes in fostering a culture where team members are encouraged to overcome challenges, explore new ideas, and work together to succeed. We value individuals who are determined to push beyond the boundaries, and have a thirst for knowledge, continuous learning, and self-improvement.
Manager - Data Science
Posted 3 days ago
Job Viewed
Job Description
**You Lead the Way. We've Got Your Back.**
With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you'll learn and grow as we help you create a career journey that's unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, you'll be recognized for your contributions, leadership, and impact-every colleague has the opportunity to share in the company's success. Together, we'll win as a team, striving to uphold our company values and powerful backing promise to provide the world's best customer experience every day. And we'll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and let's lead the way together.
**You will be part of an energetic A.I./Machine Learning cross-functional team, collaborating with various business/product partners (e.g. Credit, Fraud, Risk, Web, Mobile, Marketing, Enterprise Automation, etc.) to drive a cohesive set of solutions enabling the ever-growing strategic capabilities in the AI field.**
This role resides within American Express Technology (AET) - Enterprise Services Decision Science Center of Excellence (CoE).
**Responsibilities:**
+ Combine A.I./Machine Learning and Technology knowledge to implement highly scalable solutions to solve real-world problems in areas such as Generative AI, Personalization, Image Recognition, Speech Recognition, Natural Language Processing, Best Next Action, and Time Series predictions
+ Build solutions from identifying business problems, to collecting training dataset, to analyzing data, to modeling, to validating and to delivering production grade solutions at scale.
+ Research latest related academic papers and test nascent ideas which can potentially solve new business problems and enhance existing solutions.
+ Responsible for developing and defining deployment strategies for production quality AI solutions in Cloud infrastructure at scale
+ Drive both high-level and detailed technical designs and conduct design reviews as needed
+ Responsible for health and quality of the code across the portfolio, including leadership over innovation, functional testing, and CI/CD tool integration
+ Provide technical mentorship to team members at junior levels
+ Actively participate in business and technical discussions and forums across Amex
**Qualifications:**
+ Master's Degree in Computer Science, Computer Engineering, Information Systems, or related STEM fields. PhD degree preferred
+ Proven track record on producing outstanding research results (Journal and/or Conference publications, and patterns) is a must.
+ 2 years full lifecycle product development and engineering leadership in highly available, highly scalable, high throughput systems
+ 2 years of experience in building and delivering sophisticated solutions that leverage various AI solutions, machine learning algorithms or technologies and are able to scale optimally.
+ Expert in at least one of the following fields:
o Generative AI
o Machine Learning
o Deep Learning
o Reinforcement Learning
o Natural Language Processing
o Optimization
o Probabilistic Inference
o Information Retrieval
o Recommendation Systems
o Bayesian Inference
o Advanced time series forecasting
+ Hands-on Experience with most of the following open-source solutions:
o Orchestrate: Airflow, Kubeflow Pipelines, ML Run
o Container: Docker, Kubernetes, Mesos Marathon
o Model Serving: Kubeflow KF Serving, TF Serving, Seldon-Core, MLflow
o Observability: Prometheus, Grafana, Elasticsearch
o Development:
- Programming Language: Python, Java, Scala, Julia
- IDE: Notebooks, PyCharm, VS Studio
- Machine Learning: TensorFlow, Keras, ScikitLearn, H20.ai, XGBoost, MXNet
- Feature Store: Hopsworks, Feast, or other purposed built Feature Store
- Model Format: ONNX, PMML
+ Ability to convey complex, technical subject matter in a clear and straightforward manner; demonstrated ability to effectively communicate through written and oral presentations with all levels of the organization
+ Solid project management skills with the ability to juggle multiple priorities simultaneously in a fast-paced environment
+ Hands-on Experience with GCP and/or AWS is a plus.
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Data Mgmt and Analytics
**Primary Location:** Singapore-Singapore-Singapore
**Schedule** Full-time
**Req ID:** 25012589
Manager - Data Science
Posted 28 days ago
Job Viewed
Job Description
**You Lead the Way. We've Got Your Back.**
With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you'll learn and grow as we help you create a career journey that's unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, you'll be recognized for your contributions, leadership, and impact-every colleague has the opportunity to share in the company's success. Together, we'll win as a team, striving to uphold our company values and powerful backing promise to provide the world's best customer experience every day. And we'll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and let's lead the way together.
**You will be part of an energetic A.I./Machine Learning cross-functional team, collaborating with various business/product partners (e.g. Credit, Fraud, Risk, Web, Mobile, Marketing, Enterprise Automation, etc.) to drive a cohesive set of solutions enabling the ever-growing strategic capabilities in the AI field.**
This role resides within American Express Technology (AET) - Enterprise Services Decision Science Center of Excellence (CoE).
**Responsibilities:**
+ Combine A.I./Machine Learning and Technology knowledge to implement highly scalable solutions to solve real-world problems in areas such as Generative AI, Personalization, Image Recognition, Speech Recognition, Natural Language Processing, Best Next Action, and Time Series predictions
+ Build solutions from identifying business problems, to collecting training dataset, to analyzing data, to modeling, to validating and to delivering production grade solutions at scale.
+ Research latest related academic papers and test nascent ideas which can potentially solve new business problems and enhance existing solutions.
+ Responsible for developing and defining deployment strategies for production quality AI solutions in Cloud infrastructure at scale
+ Drive both high-level and detailed technical designs and conduct design reviews as needed
+ Responsible for health and quality of the code across the portfolio, including leadership over innovation, functional testing, and CI/CD tool integration
+ Provide technical mentorship to team members at junior levels
+ Actively participate in business and technical discussions and forums across Amex
**Qualifications:**
+ Master's Degree in Computer Science, Computer Engineering, Information Systems, or related STEM fields. PhD degree preferred
+ Proven track record on producing outstanding research results (Journal and/or Conference publications, and patterns) is a must.
+ 2 years full lifecycle product development and engineering leadership in highly available, highly scalable, high throughput systems
+ 2 years of experience in building and delivering sophisticated solutions that leverage various AI solutions, machine learning algorithms or technologies and are able to scale optimally.
+ Expert in at least one of the following fields:
o Generative AI
o Machine Learning
o Deep Learning
o Reinforcement Learning
o Natural Language Processing
o Optimization
o Probabilistic Inference
o Information Retrieval
o Recommendation Systems
o Bayesian Inference
o Advanced time series forecasting
+ Hands-on Experience with most of the following open-source solutions:
o Orchestrate: Airflow, Kubeflow Pipelines, ML Run
o Container: Docker, Kubernetes, Mesos Marathon
o Model Serving: Kubeflow KF Serving, TF Serving, Seldon-Core, MLflow
o Observability: Prometheus, Grafana, Elasticsearch
o Development:
- Programming Language: Python, Java, Scala, Julia
- IDE: Notebooks, PyCharm, VS Studio
- Machine Learning: TensorFlow, Keras, ScikitLearn, H20.ai, XGBoost, MXNet
- Feature Store: Hopsworks, Feast, or other purposed built Feature Store
- Model Format: ONNX, PMML
+ Ability to convey complex, technical subject matter in a clear and straightforward manner; demonstrated ability to effectively communicate through written and oral presentations with all levels of the organization
+ Solid project management skills with the ability to juggle multiple priorities simultaneously in a fast-paced environment
+ Hands-on Experience with GCP and/or AWS is a plus.
**Qualifications**
We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Data Mgmt and Analytics
**Primary Location:** Singapore-Singapore-Singapore
**Schedule** Full-time
**Req ID:** 25002325
Manager (Data Science)
Posted 8 days ago
Job Viewed
Job Description
The candidate will be expected to perform in the following areas:
1) Developing AI-driven data products using advanced language models and Government Commercial Cloud to improve operational efficiency. For example, developing AI products to enable policy analysts to self-help in retrieving relevant data and past policy papers when designing programmes.
2) Identifying trends and insights using machine learning, advanced statistical techniques and multiple data domains such as clinical, lifestyle and genomics data to support policy and service divisions. For example, segmenting populations using multiple data domains to design targeted interventions.
3) Conducting policy simulations that integrate business rules and diverse scenarios to guide informed policy revisions.
Role and Responsibilities
1. Collaborate with stakeholders to understand needs for actionable insights.
2. Provide thought leadership to stakeholders in determining which analytics techniques and solutions will enable the enterprise to achieve defined business goals.
3. Execute both exploratory and data analysis to identify trends and data analysis to solve business problems.
4. Develop analytical models on large-scale healthcare related datasets to address various business and clinical problems through leveraging advanced statistical modelling, machine learning, deep learning, reinforcement learning and natural language processing techniques.
5. Make recommendations that aid in the realization of value and sustaining analytical activities, which seek to embed analytical tools within business processes.
6. Keep abreast of existing and emerging data science principles/theories/techniques.
7. Deliver projects in line with agreed standards, providing fit for purpose solutions within time, quality and budget constraints.
8. Develop AI/Analytics solution architectures complying with internal compliance.
9. Evaluate technologies/services, providing regular reporting on emerging trends, value add information and potential impact to the healthcare landscape.
10. Support ad-hoc engagements with business partners and stakeholders on analytics outreach activities.
Requirements / Qualifications
1. Hands-on experience in delivering AI solutions, data science or advanced analytics programme / projects, especially in designing and implementing data science or advanced analytics solutions on large datasets.
2. Good understanding of natural language processing, statistical modelling, machine learning, deep learning techniques and a track record of solving problems with these methods.
3. Master or bachelor degrees in Data Science, Computer Science, Statistics/Biostatistics/Bioinformatics, Mathematics, Operation Research, Physics or other quantitative disciplines.
4. Proficient in analytics tools such as Python or R
5. Possess good verbal and written communication, analytical and conflict resolution skills with proven ability to translate complex, technical subjects into clear and concise communications to a variety of key stakeholders of different levels (e.g. senior management)
6. Versatile in working independently as well as an effective team player.
7. The candidate will have extra advantage if he/she has experience in any of the following:
a) Prompt Engineering
b) Amazon Web Services / Microsoft Azure
c) Databricks
d) Finetuning of language models
e) Deployment of AI models
f) Big data techniques (e.g. Hadoop, Spark, Hive)
g) Public healthcare industry
Senior Manager, Data Science and Machine Learning, AdTech
Posted today
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Job Description
Join to apply for the Senior Manager, Data Science and Machine Learning, AdTech role at Newbridge
Senior Manager, Data Science and Machine Learning, AdTechJoin to apply for the Senior Manager, Data Science and Machine Learning, AdTech role at Newbridge
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We're seeking an experienced Senior Manager, Data Science and Machine Learning to lead our clients AdTech data science efforts. You'll work closely with clients team to identify and develop talent, drive business growth, and deliver cutting-edge solutions in search, user profiling, and recommendation systems. Newbridge collaborates with various industry leaders to nurture exceptional talent, and we're looking for someone to spearhead our clients data science initiatives.
Key Responsibilities:
- Lead a team of data scientists and machine learning engineers to develop and deploy AI-powered solutions for AdTech products
- Collaborate with clients to understand business challenges and identify opportunities for data-driven solutions in search, user profiling, and recommendation systems
- Design and implement machine learning models and algorithms to drive business outcomes, such as:
- Improving search relevance and ranking
- Building user profiles for targeted advertising
- Developing recommendation systems for personalized content
- Develop and maintain large-scale data pipelines and architectures
- Work with cross-functional teams to integrate data science solutions into client products and services
- Mentor and develop team members to ensure they have the skills and expertise needed to excel in their roles
- Stay up-to-date with industry trends and advancements in data science and machine learning
Requirements:
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field
- 8+ years of experience in data science and machine learning, with a focus on AdTech or a similar industry
- Proven experience in one or more of the following areas:
- Search relevance and ranking
- User profiling and targeting
- Recommendation systems
- Strong expertise in machine learning algorithms, deep learning, and programming languages such as Python, R, or Julia
- Experience working with large datasets and building scalable data pipelines
- Excellent communication and collaboration skills
Note :
We will only contact candidates who have been shortlisted. Please note that CVs are required for all applications; those without one will not be considered.
Seniority level- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Information Technology
- Industries Software Development
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#J-18808-LjbffrManager, Data Science and Innovation, CIB
Posted 8 days ago
Job Viewed
Job Description
Job Summary
Our Data Scientists use their domain expertise to identify where AI can speed up operations, reduce costs, increase productivity, personalise the client experience; and build and deploy AI models. We’re looking for brilliant minds who are intellectually curious, analytical and willing to learn, with a numerate background in AI, mathematics, engineering, sciences or related disciplines.
Our Data Scientists use their domain expertise to identify where Artificial Intelligence (AI) can speed up operations, reduce costs, increase productivity and personalise client experiences. We’re looking for brilliant minds who are intellectually curious, analytical and love to learn.
Governance
- Ensure data quality (DQMF) is applied for data analytics and AI projects
- Adherence to Risk & Data Quality Management Requirements
- Risk and Audit Continuous management of the Trade Application System risk
- Proactively identify issues and actions
- Monitor and remediate issues and actions from audits
- Awareness of the regulatory requirements and ensuring these are catered for in the platform design
Regulatory & Business Conduct
- Display exemplary conduct and live by the Group’s Values and Code of Conduct.
- Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
- Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
Key stakeholders
- Technology and Engineering teams across the bank
- Corporate and Investment Banking (CIB) business teams
- Digital Channels and Client Data Analytics (DCDA)
- Financial Crime Surveillance Operations (FSCO) / Compliance teams
Our Ideal Candidate
- 2+ years of experience in machine learning, data science and/or other relevant quantitative roles – Banking/finance experience would be preferred but not mandatory
- Proficient in Object-Oriented Programming (OOP) in Python
- Knowledge of machine learning, deep learning and statistical analysis techniques
- Experience in NLP/DocumentAI, Entity Matching, Anomaly and Fraud detection would be an advantage
- Proficient in using ML, DL, and NLP libraries such as Scikit-learn, HuggingFace, LangChain and PyTorch
- Experience in working in an agile environment
- Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders
- Self-driven and highly motivated professional with a strong sense of ownership and a passion towards delivering high-quality client solutions
- Degree in Computer Science, Software Engineering, IT, or related fields
Role Specific Technical Competencies
- Data Science
- Python
- NLP
- Deep Learning
- Stakeholder Management
About Standard Chartered
We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.
Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.
Together we:
- Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
- Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
- Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term
What we offer
In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.
- Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
- Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
- Flexible working options based around home and office locations, with flexible working patterns.
- Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
- A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
- Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.
Recruitment Assessments
Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.
Visit our careers website
Senior Assistant Manager (Data Science & Analytics)
Posted 9 days ago
Job Viewed
Job Description
About The Role
- Design, develop, and enhance user-facing features of the organisation's Generative AI applications, with a strong focus on improving user experience and usability.
- As a full-stack developer, you will not only work on front-end applications but also troubleshoot, optimize, and enhance backend functionalities.
- Effectively communicate with stakeholders and technical peers by understanding, prioritizing, and negotiating requirements.
What We Are Looking For
- A Bachelors degree in Computer Science, Engineering, or a related field, combined with at least 2 years of experience in developing both client-side and server-side applications.
- Preferred proficiency and practical experience in HTML, CSS, JavaScript.
- Preferred proficiency in Python for backend application.
- Knowledge and experience in any of the modern web frameworks and technologies such as Node.js, ReactJS, Remix and WebSocket will be an advantage.
- Familiarity with development tools like Git or similar for version control and collaboration.
- Demonstrated understanding and experience in building and consuming RESTful APIs.
- Strong knowledge of relational databases and database schema design.
- A good understanding of container technology, cloud deployment, experience in Kubernetes will be plus.
- A passion for solving real customer problems through the development of interactive web applications.
Working Location
- Public Healthcare Facilities
Who We Are
PeopleSolve is an international search firm recruiting experienced and qualified nurses and healthcare professionals from around the world. Our program is specifically designed to help Singapore & internationally educated nurses and healthcare professionals succeed permanently in our strategic partners healthcare organizations in Singapore and beyond.
Since our beginning in 2021, we have helped 6,000 + nurses and healthcare professionals, both full time and part time, to secure placements in key healthcare locations including hospitals, clinics, community care centers, testing and vaccination centers.
At PeopleSolve, we specialize in recruitment and outsourcing solutions for the healthcare industry.
Cyrus Thong
Registration No.: R24122254
PeopleSolve Pte Ltd
EA Licence No.: 21C0695
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Compensation Analytics Specialist / data analysis
Posted 1 day ago
Job Viewed
Job Description
Due to their current expansion plan, they are looking for a People Analytics & Compensation Specialist to join their team, in hopes of developing the current high performing team. They are located in the Central.
Responsibilities
- Analyze compensation data regularly to ensure competitive and equitable pay.
- Manage end-to-end payroll processing with accuracy, timeliness, and regulatory compliance.
- Maintain detailed payroll and compensation reports for regulatory and leadership needs.
- Act as the main contact for payroll and HRIS queries, ensuring excellent employee support.
- Oversee HR systems to maintain data integrity for payroll and employee records.
Requirements
- Strong knowledge of payroll systems, HRIS platforms, and/or compensation benchmarking tools.
- Proficient in data analysis and generating accurate reports with high attention to detail.
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:
Recruitpedia Pte. Ltd.
EA License No. 19C9682
EA Reg. No. R23115141 (Tan Su Yee)
Compensation Analytics Specialist / data analysis
Posted 3 days ago
Job Viewed
Job Description
Due to their current expansion plan, they are looking for a People Analytics & Compensation Specialist to join their team, in hopes of developing the current high performing team. They are located in the Central.
Responsibilities
- Analyze compensation data regularly to ensure competitive and equitable pay.
- Manage end-to-end payroll processing with accuracy, timeliness, and regulatory compliance.
- Maintain detailed payroll and compensation reports for regulatory and leadership needs.
- Act as the main contact for payroll and HRIS queries, ensuring excellent employee support.
- Oversee HR systems to maintain data integrity for payroll and employee records.
Requirements
- Strong knowledge of payroll systems, HRIS platforms, and/or compensation benchmarking tools.
- Proficient in data analysis and generating accurate reports with high attention to detail.
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:
Recruitpedia Pte. Ltd.
EA License No. 19C9682
EA Reg. No. R23115141 (Tan Su Yee)
Credit Risk Specialist-Data Analysis
Posted 13 days ago
Job Viewed
Job Description
Job Description & Requirements
Location: Changi Business Park
Contract duration: 31st Dec 2025
Salary: SGD 6300
Key Responsibilities:
• Internal Reporting and ad hoc data support
• Management of data quality issues
• Engage responsible parties to address root causes and resolutions of data issue
• Support SAS codes optimization and reporting process automation
• Develop and implement data quality checks to ensure accuracy and consistency of data
• Manage multiple ad-hoc requests.
• Other duties as assigned.
Qualifications:
Bachelors/University Degree in Business Analytics or Computer Science
Essential
- Data knowledge, data profiling
- Hands-on experience in data manipulation, data transformation, and code optimization
- Knowledge of accounting and corporate finance, financial modelling, credit and banking products, credit analytics, risk assessment, and transaction execution
Skills: (technical skills)
- Knowledge of advanced SQL and/or SAS coding techniques.
- Knowledge of Microsoft Office Products (Word, Excel, PowerPoint, Access)
Interested candidate please share your resume to with all details
Regards
Shashi (R23112213)
Just Recruit Singapore (EA12C6295)