4 Risk Modeling jobs in Singapore

about the company

We are hiring for a newly set up consulting firm that sparks transformational change by fusing deep industry insight with cutting-edge technology. They partner with clients to solve their toughest challenges and unlock new growth opportunities through AI, automation, cloud-based solutions, and analytics. We offer access to a diverse range of clients and projects that will challenge and expand your expertise.

about the role

As a Senior Analyst in their IT consultancy team, you will be a key player in fast-paced, end-to-end digital transformation engagements. You will bridge your actuarial expertise with technology-driven solutions, leading or assisting the delivery of a wide range of client engagements.

You will combine strong quantitative skills with the ability to collaborate with software engineers, data scientists, and business consultants to design, implement, and optimize actuarial systems and risk-based solutions for clients.

Your key responsibilities will include

• Actuarial Modeling & Analytics: Develop and enhance actuarial models to support risk assessment and financial forecasting.
• Tech-Enabled Risk Solutions: Collaborate with IT teams to translate actuarial methodologies into scalable software and automated solutions
• Data-Driven Consulting: Leverage advanced statistical and machine learning techniques to extract insights from large datasets.

This role offers the opportunity to build valuable relationships with clients, develop strong capabilities focused on risk modeling, financial forecasting, and data analytics , and may involve travel to Europe to work with international clients.

skills and experience

• Bachelor's or Master's in Actuarial Science, Mathematics, Statistics, Data Science, or a relevant degree.
• Highly Desirable: Professional actuarial exam progress (SOA, IFOA, CAS) or certifications in Data Science, Cloud Computing, or Financial Risk Management.
• Strong business acumen in insurance, pensions, reinsurance, or enterprise risk management.
• Proficiency in actuarial software and tools (e.g., Prophet, Pathwise, Excel, R, Python, SAS).
• Excellent analytical, problem-solving, and confident communication skills with the ability to distill complex quantitative findings into clear, actionable insights.
• Familiarity with cloud platforms (AWS, Azure, GCP) and data visualization/reporting tools (Power BI, Tableau or similar) is a plus.
• Mandarin speaking required as you need to liaise with Chinese counterparts who can only speak and write in Mandarin

To apply online please use the 'apply' function, alternatively you may contact Evangeline. (EA: 94C3609/ R )

Research Fellow/ Senior Research Fellow, Risk Prediction Modeling/Biostatistics/Cancer Epidemiology (LKCMedicine) page is loaded# Research Fellow/ Senior Research Fellow, Risk Prediction Modeling/Biostatistics/Cancer Epidemiology (LKCMedicine)locations:
NTU Novena Campus, Singaporetime type:
Full timeposted on:
Posted Todayjob requisition id:
R The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching. The School is transitioning to an NTU medical school ahead of the 2028 successful conclusion of the NTU-Imperial partnership to set up a Joint Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in healthcare, with an expanded scope in the medical humanities. Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on technology, data science and the humanities.We are seeking highly motivated individuals with a strong interest in cancer genetics and genomic medicine to join the research team under Associate Professor Joanne Ngeow. The **Research Fellow/ Senior Research Fellow** will play a key role in analyzing large-scale genomic and clinical datasets to uncover genetic factors contributing to cancer predisposition and to develop accurate cancer risk prediction models. This role involves developing computational pipelines, conducting statistical and bioinformatics analyses, and integrating multi-omics data to support precision oncology research. The position aligns with the University’s mission to advance scientific discovery in cancer genetics and improve patient outcomes through genomic medicine.**Key Responsibilities:*** Integrate and analyze large-scale multi-omics datasets (genomics, transcriptomics, epigenomics) to derive biological insights* Apply statistical and machine learning models to identify cancer risk biomarkers* Integrate clinical, environmental, and lifestyle data to create predictive risk models* Develop and implement computational pipelines for analyzing next-generation sequencing (NGS) data (whole genome, exome, RNA-seq).* Work closely with clinicians, geneticists, and wet-lab researchers to interpret findings* Contribute to scientific publications, presentations, and grant applications* Ensure proper handling, storage, and security of genomic and clinical data. Adhere to ethical, regulatory, and institutional guidelines for genetic data analysis**Key Competencies and Requirements:*** PhD degree in Computational Biology, Bioinformatics, or a related field* At least 2 years of experience in analyzing large-scale genomics datasets. Experience with NGS pipelines and multi-omics integration* Familiarity with cancer genomics and functional interpretation of genetic variants* Proficiency in Python, R, or other bioinformatics languages* Knowledge of cloud computing, and high-performance computing (HPC) environments* Strong ability to present findings and collaborate across disciplinesHiring Institution: LKCNTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU ( ).Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district.Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.For more information, visit
#J-18808-Ljbffr

Research Fellow/ Senior Research Fellow, Risk Prediction Modeling/Biostatistics/Cancer Epidemiology (LKCMedicine)
Join to apply for the
Research Fellow/ Senior Research Fellow, Risk Prediction Modeling/Biostatistics/Cancer Epidemiology (LKCMedicine)
role at
Nanyang Technological University Singapore
Research Fellow/ Senior Research Fellow, Risk Prediction Modeling/Biostatistics/Cancer Epidemiology (LKCMedicine)
6 days ago Be among the first 25 applicants
Join to apply for the
Research Fellow/ Senior Research Fellow, Risk Prediction Modeling/Biostatistics/Cancer Epidemiology (LKCMedicine)
role at
Nanyang Technological University Singapore
Get AI-powered advice on this job and more exclusive features.
The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching. The School is transitioning to an NTU medical school ahead of the 2028 successful conclusion of the NTU-Imperial partnership to set up a Joint Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in healthcare, with an expanded scope in the medical humanities. Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on technology, data science and the humanities.
We are seeking highly motivated individuals with a strong interest in cancer genetics and genomic medicine to join the research team under Associate Professor Joanne Ngeow. The
Research Fellow/ Senior Research Fellow
will play a key role in analyzing large-scale genomic and clinical datasets to uncover genetic factors contributing to cancer predisposition and to develop accurate cancer risk prediction models. This role involves developing computational pipelines, conducting statistical and bioinformatics analyses, and integrating multi-omics data to support precision oncology research. The position aligns with the University’s mission to advance scientific discovery in cancer genetics and improve patient outcomes through genomic medicine.
Key Responsibilities
Integrate and analyze large-scale multi-omics datasets (genomics, transcriptomics, epigenomics) to derive biological insights
Apply statistical and machine learning models to identify cancer risk biomarkers
Integrate clinical, environmental, and lifestyle data to create predictive risk models
Develop and implement computational pipelines for analyzing next-generation sequencing (NGS) data (whole genome, exome, RNA-seq).
Work closely with clinicians, geneticists, and wet-lab researchers to interpret findings
Contribute to scientific publications, presentations, and grant applications
Ensure proper handling, storage, and security of genomic and clinical data. Adhere to ethical, regulatory, and institutional guidelines for genetic data analysis
Key Competencies And Requirements
PhD degree in Computational Biology, Bioinformatics, or a related field
At least 2 years of experience in analyzing large-scale genomics datasets. Experience with NGS pipelines and multi-omics integration
Familiarity with cancer genomics and functional interpretation of genetic variants
Proficiency in Python, R, or other bioinformatics languages
Knowledge of cloud computing, and high-performance computing (HPC) environments
Strong ability to present findings and collaborate across disciplines
Hiring Institution: LKC
Seniority level
Seniority level Mid-Senior level
Employment type
Employment type Full-time
Job function
Job function Research, Analyst, and Information Technology
Industries Higher Education
Referrals increase your chances of interviewing at Nanyang Technological University Singapore by 2x
Get notified about new Senior Researcher jobs in
Singapore, Singapore .
Research Fellow (Computational Biologist / CVMD / LH)
Senior Research Fellow (Molecular Biology/Biochemistry & Structural Biology)
School of Applied Science - Research Assistant (Aquaculture)
Laboratory Officer, DNA Profiling Lab (Outram)
Laboratory Officer, DNA Profiling Lab (Synapse)
Research Assistant (Virus and Protein Research)
School of Applied Science - Senior/Research Fellow (Aquaculture)
Research Assistant (Cancer Science Institute, A/P Yvonne Tay's Lab
Research Assistant (Research & Lab Management), Dr Peter Yeow's Lab)
Laboratory Officer, Cultivated Technologies (SIFBI)
Senior / Medical Laboratory Scientist (Diagnostic Bacteriology)
Research Assistant (Healthy Longevity TRP)
Junior Scientist, EDDC (Entry-Level, 2-year Contract)
Biotechnologist 2 and 3 (Cell and Gene Therapy)
Research Fellow (Ref:DSSOPC-Microbiology)
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr