113 Quantitative Analysis jobs in Singapore

Southern Ridges Capital is an investment firm managing fixed income, currency assets, and derivatives by employing discretionary macro and relative value investment strategies.

We believe in cultivating a strong, collaborative culture where people are empowered to learn, grow, and do their best work. We are committed to mentoring early-career professionals and giving them the tools, exposure, and guidance to succeed in a dynamic and intellectually challenging environment.

What You’ll Do

As a Quantitative Research Analyst, you’ll work closely with our investment team to develop insights and tools that directly support real-time investment decisions. This is a hands-on, learning-intensive role ideal for someone curious about financial markets and passionate about applying data-driven methods to solve complex problems.

Your key responsibilities will include:

• Conduct research and analyses on market and economic data
• Work with large data sets to identify, predict, and test market patterns
• Back-test and implement trading models and signals in a live trading environment
• Develop robust trading, risk analytics, and stress-testing frameworks/models
• Improve existing models, and translate algorithms into production-ready code
• Contribute to internal platform that present analytics developments in an accessible format

What You’ll Gain

• Hands-on Experience: Exposure to live trading environments and real-world investment problems from day one
• Mentorship & Learning: Work closely with seasoned professionals who will support your growth through feedback and collaboration
• Professional Development: Build skills in coding, data analysis, and financial market research
• Impact: See your work contribute directly to the investment process and help drive results

Who We’re Looking For

Technical Skills

• A minimum degree with a major in data science, statistics, mathematics, physics, engineering, operational research, or a related field
• Proficient in Python and/or R
• A strong foundation in statistics, quantitative analysis, or data modeling

Helpful Experience

• Exposure to macroeconomic or financial data tools like Bloomberg, CEIC, Haver, or Macrobond
• Interest in financial markets and macroeconomic trends
• Basic understanding of options, derivatives, or econometrics

Soft Skills

• A curious, analytical mindset and eagerness to learn
• Strong attention to detail and problem-solving skills
• Clear communication and willingness to ask questions
• A team player who thrives in a collaborative and respectful environment

Why Join Us

At Southern Ridges Capital, you will work closely with the investment team, and you will have the opportunity to contribute to real investment decisions and view your impact. You will gain a wider experience and better understanding of the investment world working in a smaller and more collaborative setup like ours.

We are seeking for an experienced and motivated Quantitative Research Analyst / Associate specializing in fundamental multi-factor strategies to join our Quantamental team. This role is focused on the research, development, and enhancement of quantitative equity models rooted in fundamental data.

Key Responsibilities:

• Conduct rigorous research on global equity markets (China, US, Southeast Asia), leveraging academic studies, empirical analysis, market insights, and proprietary datasets to uncover new sources of alpha.
• Lead the development and monitoring of factors, with a strong emphasis on fundamental factors. Identify and validate new alpha signals through robust backtesting, ensuring their stability, interpretability, and economic intuition.
• Design and enhance multi-factor models, incorporating research insights into portfolio construction, optimization, and risk management frameworks.
• Perform risk and return attribution for portfolios, evaluating performance drivers and refining strategies to ensure resilience across different market conditions.
• Collaborate with product, sales, operations, and trading teams to ensure smooth product launch, execution, and distribution.

Requirements:

• 3–5 years of hands-on experience in quantitative research within the equity market, ideally on the buy-side, with a focus on multi-factor models and fundamental equity investing. Prior exposure to China A-share is a strong plus.
• Solid understanding of financial statements, accounting metrics, and valuation frameworks; strong intuition for fundamental investing is highly preferred.
• Proficient in at least one programming language (Python, R, C++, or MATLAB), with strong data handling and backtesting skills.
• Familiarity with portfolio risk modeling tools such as Barra, and experience incorporating risk metrics into the research and optimization process.
• Self-driven, intellectually curious, and able to work in a cross-functional, bilingual (English and Mandarin) environment.

Responsibilities:

• You will be exposed to different social research domains and streams of research methodologies
• Manage client-focused research projects, conduct analysis, and present insights in a visual and impactful manner. At the same time, you will be involved in scripting, sampling, and data processing of research studies.
• Assist in developing new methods of data collection using various software and other data related tools assigned to you at intervals.
• Account Management: Manage client queries, expectations and relationships to ensure client satisfaction
• Design, plan, execute, and manage research projects suitable for client needs
• Scripting of survey questionnaires with logic implementation
• Processing of research data using software with syntaxes and codes
• Monitor quantitative fieldwork and adhering to project schedules / deadlines
• Quality check and audit survey implementation to ensure accuracy of results
• Perform codin g of open-ended (free text response) answers where required
• Create highly actionable and digestible reports in PowerPoint
• Present results of study confidently to external clients
• Drive the exploration of new research methodologies and data collection software
• Any other tasks as may be assigned by Head of Department

Requirements

• Minimum Diploma (in Psychology / Social Sciences / Mathematics / Statistics / Marketing / Business / Engineering / numerical fields)
• Strong interest in market research and willing to learn (Training Provided)
• Versatile individual with a keen interest to pick up complimentary research skillsets
• Able to work with ambiguity and perform under pressure
• Those with more experience will be consider as Senior
• Quantitative or qualitative and data analytical skills
• Strong communication skills, both written and interpersonal
• Competent in MS Office, with some experience in data collection and/or statistical software e.g. SPSS, R, STATA etc. will be plus

Interested candidates, do submit your resume in MSWord to or contact

Responsibilities:

• You will be exposed to different social research domains and streams of research methodologies
• Manage client-focused research projects, conduct analysis, and present insights in a visual and impactful manner. At the same time, you will be involved in scripting, sampling, and data processing of research studies.
• Assist in developing new methods of data collection using various software and other data related tools assigned to you at intervals.
• Account Management: Manage client queries, expectations and relationships to ensure client satisfaction
• Design, plan, execute, and manage research projects suitable for client needs
• Scripting of survey questionnaires with logic implementation
• Processing of research data using software with syntaxes and codes
• Monitor quantitative fieldwork and adhering to project schedules / deadlines
• Quality check and audit survey implementation to ensure accuracy of results
• Perform coding of open-ended (free text response) answers where required
• Create highly actionable and digestible reports in PowerPoint
• Present results of study confidently to external clients
• Drive the exploration of new research methodologies and data collection software
• Any other tasks as may be assigned by Head of Department

Requirements

• Minimum Diploma (in Psychology / Social Sciences / Mathematics / Statistics / Marketing / Business / Engineering / numerical fields)
• Strong interest in market research and willing to learn (Training Provided)
• Versatile individual with a keen interest to pick up complimentary research skillsets
• Able to work with ambiguity and perform under pressure
• Those with more experience will be consider as Senior
• Quantitative or qualitative and data analytical skills
• Strong communication skills, both written and interpersonal
• Competent in MS Office, with some experience in data collection and/or statistical software e.g. SPSS, R, STATA etc. will be plus

Interested candidates, do submit your resume in MSWord to or contact

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.
WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.
The Role:
This is a highly unique opportunity for a Quantitative Researcher to join a new and rapidly growing team. In this role you will partner with a close-knit team of data scientists, data engineers, technologists and data sourcing colleagues to identify and research new sector or broad Alphas based on a deep understanding of fundamentals.
Develop a structured and methodical research agenda combining fundamental knowledge, data exploration and quantitative analysis.
Become a domain expert on each fundamental topic you cover, identify key information drivers to target your research.
Conduct detailed data exploration to acquire a comprehensive understanding of the data used to generate Alphas; enrich a wide range of structured and unstructured data into datasets to enable your quantitative research.
Take a process oriented approach to understand the value drivers of your Alphas.
What You’ll Bring:
At least 1 year experience as a Data Scientist, ideally in a financial / investment setting.
Proven experience of extracting insights from large and complex datasets using SQL and Python. Experience with alternative datasets a plus.
Demonstrable financial knowledge - passed at least Level I of the CFA program, or similar financial qualification (i.e., MBA or accountancy background). Thorough understanding about various valuation approaches and methods.
Expertise in time series analysis and models.
Proficient in coding in C/C++ and Python.
Excellent communications skills (both written and oral English).
Strong analytical and conceptual skills encompassing finance and related areas of financial investment.
Familiarity with various research/database platforms (Bloomberg, Reuters etc.) would be preferred.
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Job Title: Research Associate (Quantitative)
The Saw Swee Hock School of Public Health is seeking a motivated and capable Research Associate (Quantitative) to join an interdisciplinary team examining the intersections of the built environment, socio-spatial dynamics, and community well-being.
This role will focus on the development of validated measurement framework for assessing how community hubs build community capacities and social capital, stakeholder engagement, and advanced socio-spatial analysis. The work will contribute to new knowledge on how intergenerational urban design, programming, and governance models shape community capacity-building, and how these pathways influence social resilience.
Key Responsibilities
Measurement & Quantitative Research
Develop, adapt, and validate survey instruments and indexes to assess community capacities and social capital.
Design and lead Delphi surveys with experts to refine indicators and ensure contextual relevance.
Conduct advanced quantitative analyses, including regression, multilevel modelling, and factor analysis.
Socio-Spatial & Mixed-Methods Analysis
Contribute to GIS-based socio-spatial analysis linking designs of community hubs, land use, accessibility, and environmental features with social and community-level outcomes.
Integrate quantitative and qualitative findings to generate holistic insights.
Support participatory and citizen-science approaches to capturing lived experiences of public spaces.
Stakeholder Interviews and Engagement
Conduct interviews, focus groups, and workshops with government agencies, NGOs, and community partners.
Contribute to stakeholder mapping, governance analysis, and synthesis of engagement practices.
Facilitate and coordinate a multi-agency advisory group involving academics, government agencies, NGOs, and community partners.
Translate research findings into actionable recommendations for practitioners and policymakers.
Project Management & Dissemination
Manage day-to-day research activities, including ethics submissions, data management, and coordination with collaborators.
Draft reports, policy briefs, and manuscripts for academic and practitioner audiences.
Prepare presentations and data visualizations to communicate findings effectively.
Requirements
Master’s degree in public health, Urban Studies, Geography, Sociology, Data Science, or related disciplines.
At least 2 years of prior research experience in applied social, health or built environment research (preferably post-masters)
Demonstrated expertise in quantitative methods (survey design, psychometrics, regression, multilevel modelling, factor analysis).
Experience in measurement development and validation (indexes, scales, Delphi surveys)
Familiarity with GIS and socio-spatial analysis highly preferred.
Exposure to mixed-methods research and participatory approaches.
Proficiency in at least one statistical software (e.g., R, Stata, SPSS, Python).
Excellent writing, project management, and stakeholder engagement skills.
Why Join Us?
Work at the intersection of public health, behavioural science, and urban design to generate policy-relevant insights.
Collaborate with an interdisciplinary network of academics, government agencies, and design professionals.
Gain hands-on experience in community measurement, socio-spatial research, and participatory evaluation frameworks.
Contribute to shaping inclusive, resilient, and community-driven urban environments.
Position Type: 1-year contract (renewable), full-time, based in Singapore
Location: Kent Ridge Campus
Organization: Saw Swee Hock School of Public Health
Department: Saw Swee Hock School of Public Health
#J-18808-Ljbffr

Interested applicants are invited to apply directly at the
NUS Career Portal
Your application will be processed only if you apply via
NUS Career Portal
We regret that only shortlisted candidates will be notified.
Job Description
Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:
Research Assistant
We are looking for research assistants with a quantitative background for ongoing research in Public Health.
They will be working within the team under the Principal Investigator Assistant Professor Akira Endo alongside multiple collaborators and experts.
Methods include renewal process, network transmission modelling, branching process, Bayesian inference, particularly in the context of epidemiology and dynamics of respiratory and/or sexually-transmitted infections.
Candidates need to be able to understand infectious disease dynamic modelling, statistical modelling, have a sufficient epidemiological, mathematical and data science backgrounds, and be fluent in R programming. We will also appreciate candidates who have extensive C++, Python or Julia coding knowledge.
The candidate will be working with the Principal Investigator(s) on the analysis of large-scale behaviour and disease data, build up mathematical models of disease transmission including network science or branching process approaches.
The Principal Investigator(s) is seeking for an independent worker who is well-organized, analytical and codes competently. They will however be receiving support from a team of mathematicians, epidemiologists and statisticians, and have a diverse portfolio of tasks. Under the team’s guidance, they will be expected to co-lead their own publications.
We welcome academic creativity and will be highly supportive of candidates who wish to either pursue academia or desire for career progression provided they show self-motivation to showcase their problem-solving abilities.
Responsibilities
Infectious disease modelling
Statistical analyses
Stochastic processes
Academic writing and publication of results
Preparation of meeting materials for stakeholders
Requirements
Completed an MSc in a quantitative discipline (statistics, mathematics, computational biology, data science).
Extensive experiences in public health research and experience in leading at least one infectious disease modelling project
At least one (preferably more) academic publication as a main author (first/corresponding/last) in disciplines relevant to infectious disease modelling
Strong programming skills (at least one of R/Python/Julia)
Statistical competence (understands and can perform likelihood-based inference, ideally including Bayesian)
#J-18808-Ljbffr

Responsibilities
You will be
exposed to different social research domains and streams of research methodologies
Manage client-focused research projects, conduct analysis, and present insights
in a visual and impactful manner. At the same time, you will be involved in scripting, sampling, and data processing of research studies.
Assist in
developing new methods of data collection
using various software and other data related tools assigned to you at intervals.
Account Management:
Manage client queries, expectations and relationships to ensure client satisfaction
Design, plan, execute, and manage research projects
suitable for client needs
Scripting of survey questionnaires
with logic implementation
Processing of research data
using software with syntaxes and codes
Monitor quantitative fieldwork
and adhering to project schedules / deadlines
Quality check and audit survey implementation
to ensure accuracy of results
Perform coding of open-ended (free text response) answers where required
Create highly actionable and digestible reports in PowerPoint
Present results of study confidently to external clients
Drive the exploration of new research methodologies and data collection software
Any other tasks as may be assigned by Head of Department
Requirements
Minimum Diploma (in Psychology / Social Sciences / Mathematics / Statistics / Marketing / Business / Engineering / numerical fields)
Strong interest in market research and willing to learn (Training Provided)
Versatile individual with a keen interest to pick up complimentary research skillsets
Able to work with ambiguity and perform under pressure
Those with more experience will be consider as Senior
Quantitative or qualitative and data analytical skills
Strong communication skills, both written and interpersonal
Competent in MS Office, with some experience in data collection and/or statistical software e.g.
SPSS, R, STATA etc. will be plus
Interested candidates, do submit your resume in MSWord to or contact
#J-18808-Ljbffr

Responsibilities:

• You will be exposed to different social research domains and streams of research methodologies
• Manage client-focused research projects, conduct analysis, and present insights in a visual and impactful manner. At the same time, you will be involved in scripting, sampling, and data processing of research studies.
• Assist in developing new methods of data collection using various software and other data related tools assigned to you at intervals.
• Account Management: Manage client queries, expectations and relationships to ensure client satisfaction
• Design, plan, execute, and manage research projects suitable for client needs
• Scripting of survey questionnaires with logic implementation
• Processing of research data using software with syntaxes and codes
• Monitor quantitative fieldwork and adhering to project schedules / deadlines
• Quality check and audit survey implementation to ensure accuracy of results
• Perform codin g of open-ended (free text response) answers where required
• Create highly actionable and digestible reports in PowerPoint
• Present results of study confidently to external clients
• Drive the exploration of new research methodologies and data collection software
• Any other tasks as may be assigned by Head of Department

Requirements

• Minimum Diploma (in Psychology / Social Sciences / Mathematics / Statistics / Marketing / Business / Engineering / numerical fields)
• Strong interest in market research and willing to learn (Training Provided)
• Versatile individual with a keen interest to pick up complimentary research skillsets
• Able to work with ambiguity and perform under pressure
• Those with more experience will be consider as Senior
• Quantitative or qualitative and data analytical skills
• Strong communication skills, both written and interpersonal
• Competent in MS Office, with some experience in data collection and/or statistical software e.g. SPSS, R, STATA etc. will be plus

Interested candidates, do submit your resume in MSWord to or contact