About Us

We're seeking a driven and skilled Credit Risk Data Scientist (1 year contract) to join our dynamic team. If you're passionate about predictive modeling, risk management, and leveraging cutting-edge technologies, this role offers an exciting opportunity to contribute to the development of credit scoring and risk mitigation strategies.

Responsibilities

• Develop, maintain, and monitor predictive models for credit scoring, fraud detection, and suspicious activity prediction.
• Write high-quality production-ready code for the models that will be deployed in the production environment.
• Deploy the models in the MLOps production environment, and maintain and troubleshoot any production issues that arise with these models.
• Collaborate closely with Lending and Credit Risk teams to translate requirements into optimized models.
• Support regular model performance reviews, audits, and recalibrations.
• Collect, process, and analyze data to support statistical analysis and risk decision-making.
• Leverage alternative data sources to enhance underwriting and credit risk models.
• Present model concepts and metrics to senior stakeholders and validators/auditors.
• Design, implement, and maintain performance reports and actionable insights dashboards.
• Ensure alignment with model governance, business, and regulatory expectations.

Experience and Qualifications

• Degree (PhD, Master's, Bachelor's) in Statistics, Mathematics, Economics, Finance, Risk Management, or related field.
• Proven experience building risk models such as Application Score, Behavior Score, PD, EAD, LGD (Basel or IFRS 9), especially for retail customers in diverse countries including Singapore.
• Comprehensive understanding of risk management throughout the customer journey within fintech or risk-focused environments.
• Domain expertise in retail credit products, banking, and regulatory frameworks (Basel, IFRS).
• Proficiency in Python, R, SQL, Snowflake and Data Visualization tools like Tableau.
• Technical proficiency in data retrieval, data modeling, data mining, and predictive modeling.
• Strong familiarity with advanced machine learning techniques, statistical classification/regression for credit risk.
• Exceptional problem-solving skills, detail-oriented mindset, and ability to thrive in a dynamic work setting.
• Bonus: Familiarity with implementing models using Terraform scripts, Docker/Kubernetes, CI/CD technologies, AWS, or MLOps.

Why Join Us

• Make a significant impact on credit risk strategies and predictive modeling.
• Collaborative and innovative work environment.
• Opportunity to work with cutting-edge technologies and diverse datasets.
• Continuous learning and professional growth opportunities.
• Competitive compensation package and benefits.

DesCartes Program (Work Package 8) is looking for a Research Associate in Information Management & Harvesting: Smart Data for Hybrid Twin Digital Energy Systems.

DESCARTES PROGRAM

The DesCartes programme is developing a hybrid AI, combining Learning, Knowledge and Reasoning, which has good properties (need for less resources and data, security, robustness, fairness, respect for privacy, ethics), and demonstrated on industrial applications of the smart city (digital energy, monitoring of structures, air traffic control).

The program brings together 80 permanent researchers (half from France, half from Singapore), with the support of large industrial groups (Thales SG, EDF SG, ESI group, CETIM Matcor, ARIA etc.).

The research will take place mainly in Singapore, at the premises of CNRS@CREATE, with a competitive salary and generous funding for missions.

Read more about the DesCartes program here.

DESCRIPTION

WP8 Augmented Hybrid Engineering

WP8 Breakthroughs

• Scalable and fast decision making, from sensor management to real-time predictions and robust control
• Practical implementation, managing complexity, uncertainty and technical constraints

WP8 Motivations

• Pure model-based or data-based approaches cannot lead to robust and explainable decisions
• Nonlinear behavior and component interactions are hard to predict in complex system-of-systems

WP8 Innovation

• Sensor placement combined with data fusion
• Hybrid twin synthesis with faster than real-time predictions
• Correct-by-design robust control and resource efficient h/w deployments at the edge

Job Description

Develop a methodology to prepare data according to physical constraints, and to adjust physical models to real situations captured by data. The idea will be to combining imperfect data from models, from observations distributed in time and space, exploiting any relevant physical constraints, to produce a more accurate and comprehensive picture of the system as it evolves in time.

State estimation methods of electrical distribution system, especially micro-grids with RES generation and EV charging will be considered. Physical models as well as AI models will be developed based on an existing micro-grid in Singapore from our partner EDF Lab Singapore.

EXPERIENCE & QUALIFICATIONS

Competences in some of the domains listed below will be highly considered:

• Applied mathematics
• Optimization and Control theory
• Physical modeling & Simulation-based engineering
• Constraints on real-world systems

Keywords:

1. Data science
2. Artificial Intelligence
3. Numerical Simulation
4. Engineering
5. Data Assimilation
6. Real-Time State Estimation

FURTHER INFORMATION & CONTACT

RA Salary range: 5500 to 7000 SGD (depending on suitability and experience)

Workplace address: CREATE Campus, CREATE Tower, 1 Create Way #08-01 Singapore 138602

Interested applicants please send your resume to:

Email : [email protected]

– Please attach your full CV, with the names and contacts (including email addresses) of two character referees.

Justification Request:

The successful candidate will join the Data Management Group at the Bioinformatics Institute (BII) within the Agency for Science, Technology and Research (A*STAR). The Observational Health Data Sciences and Informatics (OHDSI), Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) is the national data standardisation framework adopted by Singapore’s Ministry of Health (MOH) for real world evidence studies. This is a functional role that combines data management and data science skills for OMOP data curation & data analytics of national strategic research datasets.

Job Summary:

Support with the data curation and data analytics of national strategic research datasets based on OHDSI OMOP framework (multi-modal data integration, data cleaning, data curation, data quality assessments and data analytics) - https://www.ohdsi.org/

Job Responsibilities:

- Implementation of OHDSI OMOP framework across the national strategic research datasets such as the Growing Up in Singapore Towards healthy Outcomes (GUSTO) cohort study, https://gustodatavault.sg/omop/
- Develop and implement data management strategies for standard Common Data Model, vocabulary/ontology, mapping tools, methods and documentation.
- Develop and implement proactive quality control audits/quality management plans across datasets to ensure data mapping accuracies and completeness.
- Generate comprehensive reports and visualisation dashboards to effectively communicate data insights to stakeholders, including investigators, physicians and regulatory bodies.

Job Requirements:

- A Bachelor/Master Degree in Public Health, Data Science, Statistics, Computer Science of related field.
- Good programming skills (Python, R).
- Knowledge/experience on Good Clinical Practice (GCP), Good Clinical Data Management Practices (GCDMP) guidelines, OHDSI OMOP Common Data Model and regulatory data submissions.
- Good team player and communication skills for collaborative research.
- 0 - 3 years’ experience.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

PRODUCT AREA

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

JOB DESCRIPTION

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

ADDITIONAL JOB DESCRIPTION

As a Customer Engineering Manager, you'll lead a team of Customer Engineers who engage with business prospects and channel partners to understand and assess customer requirements, prepare and present demonstrations of Google Cloud technologies, and address and overcome technical objections that arise throughout the business process. You will lead efforts to drive solution innovation, working across the organization to identify the assets and tools to drive customer adoption. You'll also be responsible for investing in the team’s development and success, building a high performing, effective, and collaborative team.

Qualifications

JOB RESPONSIBILITIES

• Lead, inspire, and grow a team of Customer Engineers across the region who engage with prospects, providing technical discovery and solutions recommendations while working in partnership with customers. Manage and motivate a diverse collection of engineering professionals.
• Contribute to building a business that promotes exceptional growth and maintain motivation to work effectively in a highly dynamic environment.
• Engage directly with prospects regarding architecture discussions and best practices.
• Work cross-functionally with our Product, Support, Engineering, and Sales teams. Make presentations to represent the capabilities and services of Google Cloud.
• Hire, coach, and drive a team to work towards strategic goals, while prioritizing the delivery of an outstanding customer experience.

MINIMUM QUALIFICATIONS

• 15 years of technology related sales experience, with at least 5 years in a CE managerial capacity.
• Experience working with IaaS, PaaS, Big Data, SaaS, public cloud, or related industry and technical concepts.
• Experience developing strategy to lead Sales Engineering teams to meet business objectives.

PREFERRED QUALIFICATIONS

• Experience creating repeatable processes at scale in a pre-sales engineering organization.
• Knowledge of solution architecture.
• Ability to inspire and grow teams to their full potential in a business environment, while working across cross-functional teams to achieve common business objectives.
• Ability to present to both technical and non-technical audiences, engaging C-Level stakeholders in business and technology transformation.
• Excellent business acumen with distinctive problem-solving and investigative skills.

• Work closely with stakeholders to understand their needs/ pain points, translate them into data analytics problems, and provide/implement actionable analytics solutions
• Be a subject matter expert in banking business and data. Consolidate data from multiple sources to create integrated views that can be used to drive decision-making
• Conduct ad-hoc analysis and/or suitable visualization of business issues
• Design, automate, and maintain mission-critical dashboards for our business units using SQL and/or Pyspark
• Support the campaign events, including the pre-campaign audience selection, in-campaign tracking, and post-campaign evaluation

Requirements:

• Bachelor’s degree and above in Computer Science/Engineering, Business Analytics, Information Technology, Finance/Banking, Statistics and other related fields
• 2 - 7 years of experience in analytical roles and familiar with Python and SQL
• Experience in implementing analytical insight and/or predictive model into the business process is preferred
• Strong passion for data analysis by taking related courses, participating DA/DS competition or developing projects in Github continuously is preferred
• Experience of business intelligence/marketing analytics in e-commerce/FinTech industry is a plus
• Strong project management and communication skills

• Reports directly to Deposits & Payments Business Team Lead
• Responsible for supporting analysis requirements for the Deposits & Payments Business Team
• Analyse large datasets to identify key business levers and opportunities, understand consumer behaviour, and investigate portfolio trends and observations
• Drive visibility into product performance by defining and monitoring key business metrics
• Design, build and maintain useful simulations, dashboards, data tables, and reports to enable data-self serve for the Deposits & Payments Business Team
• Collaborate with cross-functional teams (Marketing, Business Intelligence, Product Managers, etc.) to analyse marketing performance based on initiatives (e.g. campaign performance tracking and A/B testing)
• Develop insights and identify new product development opportunities based on customer behaviour (including new data products to provide customers with data insights)
• Communicate and present insights to key stakeholders and senior management

Requirements:

• Bachelor’s Degree in Business Analytics, Computer Science, Economics, Statistics, Data Science, Mathematics, or related field
• Possess at least 3 to 5 years of relevant working experience as a data or business analyst, or related field
• Highly proficient in using SQL, Python, Excel, and BI tools
• Strong in data analysis, data exploration, data visualisation, and data reporting
• Able to demonstrate structural thinking, problem-solving, and have strong logical reasoning skills
• Able to work with large datasets and ambiguous data
• Highly collaborative and analytical individual with strong verbal and written communication skills
• Highly passionate, have a strong sense of responsibility, and able to work independently with minimal supervision
• Comfortable working in a fast-paced and dynamic environment

Holmusk, a 2019 World Economic Forum Technology Pioneer, is building a leading real-world evidence platform in mental health. We leverage data and advanced analytics to accelerate research and improve outcomes in psychiatry across pharma, healthcare providers, and payers.

We are looking for a Senior Data Scientist to contribute to and lead projects that leverage our real-world mental health database and advanced analytics to generate real-world evidence (RWE).

Responsibilities

• Design, develop, and implement high-quality real-world data (RWD) studies.
• Work closely with the client team to identify research questions, appropriate methodology and clear deliverables.
• Write scientific study proposals and reports.
• Prepare datasets for downstream analysis, implement statistical methods, and interpret study results.
• Prepare and present key research insights and findings using written reports and visual representatives to colleagues and clients.
• Work in a multidisciplinary team.

What We're Looking For

• Relevant post-graduate qualification (MSc/PhD in Epidemiology, Psychiatry, or related discipline)
• 3+ years of experience programming experience with R and/or Python
• Experience in epidemiological and medical statistics methods employed in observational research (experience in psychometrics, health economics is a plus)
• Experience of data cleaning and wrangling
• Working knowledge of SQL and version control (git preferred)
• Familiarity with a client-facing, healthcare-related environment is a plus (pharmaceutical companies, MedTech companies, consultancies)
• Experience in scientific writing and project management
• Excellent written and verbal communication skills

What's In It For You

• You will be working alongside smart and easy-to-work with people who are passionate about what they do. We are a group of people who love solving challenging problems.
• You will gain the opportunity to work with large pharmaceutical companies in their real-world drug evidence generation.
• We are a mature start-up, in the process of scaling up with room for ownership and growth.

At Holmusk we take pride in our diverse workforce and inclusive culture. We believe it takes all kinds of people to build the best products and bring real change to the healthcare space.

Main Responsibilities

• Develop features specified by the business analyst and prioritised by the product owner
• Participate to the necessary technical meeting
• Participate to agile meetings (daily, retrospectives, etc.)
• Participate to non-regression campaigns
• Be an active participant of the Orchestrade developer community with the associated rights and responsibilities (i.e.: rolling role of release manager)
• Be a driving force on technical and functional topics propositions
• Develop with quality and timely
• Raise alert adequately on the risks encountered during the conception of features (cost, delay, resources)
• Assist local support on incidents (P1 & P2) and urgent requests when appropriate to decrease impact and resolution time
• Research, design, and develop software.
• Analyse user needs and develop software solutions
• Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.
• Work with other engineers to integrate hardware and/or software systems
• Develop specifications and performance requirements.

Legal and Regulatory Responsibilities

• Comply with all applicable legal, regulatory and internal Compliance requirements, including, but not limited to, the Singapore Compliance manual and Compliance policies and procedures as issued from time to time; Financial Security requirements, including, but not limited to, the prevention of Financial Crime and Fraud including reporting obligations to the Money Laundering Reporting Officer.
• Maintain appropriate knowledge to ensure to be fully qualified to undertake the role. Complete all mandatory training as required to attain and maintain competence.

Qualifications and Profile

Mandatory

• Extensive development experience with an in-depth understanding of the CLR. Multiplatform experience is a must.
• Candidate should be open to work on different technology stacks (C# , Java etc)
• Deep familiarity with asynchronous programming (async/await, async streams, etc)
• Good experience with SQL and relational databases (E.g. MS SQL Server, Postgres, etc)
• Experience using and deploying CI / CD and related tools (e.g. Git, Jenkins, Azure DevOps, TeamCity, etc)
• Exposure to shell scripting: Bash on Unix/Linux platforms and PowerShell/Batch on Windows
• Knowledge of Microservices
• Knowledge of Spring framework and IOC
• Good knowledge of algorithms and data structures, with strong fundamentals in complexity analysis
• Autonomous, self-motivated and excellent team player

Good to Have

• Understanding of Native Interop: P/Invoke, structure layouts, C++/CLI, etc.
• Exposure to front office booking systems (E.g. Orchestrade, Murex, Summit, etc)
• Knowledge of Financial IRD products IRD and Capital Market FO environments
• Agile Development Methodology
• Other technical skills including Middleware (e.g. Kafka, MQ Series…), Monitoring, Batch Scheduling, Software Quality
• Security awareness and best practices
• Ability to work well under pressure

Other Professional Skills and Mindset

• Excellent written and verbal communication skills
• Excellent communication and interpersonal skills
• Strong analytical and problem solving skills
• Proficient software development life cycle
• Autonomy to include implicit deliverables in assignment based on best practices
• Strong appetite to learn both functional and technical new domain
• Appetite to participate to technical market trends and communities
• Strong sense of confidentiality

Education Requirements

At least a Bachelor’s degree in any of these faculties:

• Computer Science
• Information Technology
• Programming & Systems Analysis
• Science (Computer Studies)

Interested applicants, please email your resume to Shaun Quek Yew Meng

Email: [email protected]

CEI Reg No: R1660732

EA Licence No: 99C4599

Roles & Responsibilities:

• Responsible for the timely management reporting of business entities
• Prepare financial reports and presentations that include detailed analysis on variance and cash flow to support key business decision making
• Partner internal and external stakeholders to ensure timely and accurate forecasts and budgets
• Prepare tax computation and relevant tax schedules
• Manage overseas service provider (Corporate secretary, Accounting), if required.
• Support system implementation / improvements
• Support external and internal audits
• Preparation of Financial Statements
• Ad Hoc reports as required by the management team

Job Requirements:

Skills & Qualifications:

• Degree in Accountancy or equivalent
• Minimum 5 years of relevant work experience with Big 4 audit experience preferred.
• Knowledge in SAP S4 Hana and BPC is added advantage
• Proficiency in Microsoft Office applications
• Good understanding of the FRS and relevant Accounting Standards
• Ability to communicate, present and influence internal and external stakeholders

• Marine Electronics & Telecommunication
• Basic $3000 - $3500
• 5 days (8.30am – 5.30pm)
• Location: Pandan Loop

Responsibilities

• Work together with the clients, either at our office or client’s locations, to understand their needs and translate them into an actionable plan with the team.
• Work closely and communicate effectively with project manager, and other project team members to create and deliver quality solutions for the clients.
• Perform quality control work, taking into considerations of the budget, schedule, and plans.
• Keep track of project status and provide regular reports.
• Assure all the deadlines are being met.

Requirements

• Min Diploma/ Degree in Engineering or other relevant
• No experience are also welcome

For consideration, kindly submit your CV by clicking “APPLY Now”

**Only shortlisted candidate would be notified**

EA Reg. No: R23114214 | Chloe Tan

Bioinformatics Specialists: Machine Learning and Genome Data Analytics (Genome Institute of Singapore

We are looking for smart, motivated machine learning and data analytics researchers who can contribute to the development of new methods for understanding and diagnosing cancer. The candidate should have strong mathematical intuition and programming skills, and be comfortable working in a highly collaborative multidisciplinary environment that includes biologists, pathologists and medical oncologists. This will be a unique opportunity to learn cutting edge data analytics and computational biology techniques in the rapidly growing field of spatial omics.

Requirements

1. Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Data Science, or a related field with at least 5 years of relevant experience

2. High proficiency in scripting language (Perl, Python and statistical languages such as R, particularly in the use of packages such as Bioconducter or Biopython)

3. Additional programming skills in Java or C++ will be useful and candidate should be experienced working in Unix environments with computing clusters/servers

4. A strong background and course work in statistics, computer science and data science is preferable

To apply, please email your CV and names of references to [email protected], [email protected]

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.