573 Research Lead jobs in Singapore

The ideal candidate for this role will play a pivotal part in the success of our clinical research studies. Primary responsibilities include providing and coordinating nursing care to patients participating in these studies.

Main Responsibilities:

• Ensure the safety and well-being of study subjects
• Monitor and report on clinical trial data
• Prepare research metrics and reports for submission
• Perform intensive monitoring of research subjects in early phase clinical trials

Required Skills and Qualifications:

• Diploma / Bachelor's Degree in Nursing
• Registered nursing qualification and registered with Singapore Nursing Board (SNB) with valid BCLS certificate
• At least 5 years' clinical nursing experience in Clinical Trial

Necessary Competencies:

• Excellent interpersonal skills
• Able to work effectively in a team environment
• Strong analytical and problem-solving skills
• Maintain confidentiality and handle sensitive information

Technical Proficiencies:

• Proficiency in Microsoft Office, especially Excel

Benefits of This Role:

This position offers an opportunity to contribute to the advancement of clinical research while developing your skills in a dynamic environment.

About the Position:

This is a challenging yet rewarding role that requires dedication, passion, and expertise in clinical research.

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Key Responsibilities

• Lead research on auction dynamics, order book imbalances, ETF–constituent linkages, and related signals.
• Establish and enforce research standards, including data leakage checks, robust validation (cross-sectional & time-series), p-value adjustments, and A/B replay testing.
• Develop and maintain venue-specific cost models, accounting for explicit/implicit costs and rebate structures.
• Build and oversee a unified backtesting pipeline spanning backtest → simulation → live small-scale strategies.

What We’re Looking For

• Proven experience leading a team in taking at least one microstructure strategy from idea through to live trading, with clear understanding of backtest-to-production drift.
• Strong expertise in market microstructure signals (LOB imbalance, depth ratio, queue-length, cancel-to-add, spread slope, interarrival times).
• Mastery of advanced validation techniques such as Newey-West adjustments, resampling, rolling out-of-sample tests, FDR control, and sensitivity heatmaps.
• Deep understanding of simulation frameworks, ensuring queue position, priority matching, and auction clearing integrity.
• Technical stack: Python (NumPy, Pandas, numba, pyarrow), kdb+/q or ClickHouse, Git+CI.
• Prior experience applying deep learning to LOB features, ETF–constituent alignment, or factor orthogonalization will be an added advantage.

Application Process

Interested candidates should submit their resume to Tina Wang at , quoting the job title and reference number. Only shortlisted candidates will be contacted.

License No: 24S2395

Registration No: R2090553

• Seniority level Director

• Employment type Full-time

• Job function Strategy/Planning, Finance, and Analyst
• Industries Financial Services and Investment Management

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Queenstown, Central Singapore Community Development Council, Singapore 1 month ago

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Quant Research Lead – High-Frequency Trading Firm
Quant Research Lead – High-Frequency Trading Firm
1 day ago Be among the first 25 applicants
Get AI-powered advice on this job and more exclusive features.
Direct message the job poster from Empower Partners Singapore
Key Responsibilities
Lead research on auction dynamics, order book imbalances, ETF–constituent linkages, and related signals.
Establish and enforce research standards, including data leakage checks, robust validation (cross-sectional & time-series), p-value adjustments, and A/B replay testing.
Develop and maintain venue-specific cost models, accounting for explicit/implicit costs and rebate structures.
Build and oversee a unified backtesting pipeline spanning backtest → simulation → live small-scale strategies.
What We’re Looking For
Proven experience leading a team in taking at least one microstructure strategy from idea through to live trading, with clear understanding of backtest-to-production drift.
Strong expertise in market microstructure signals (LOB imbalance, depth ratio, queue-length, cancel-to-add, spread slope, interarrival times).
Mastery of advanced validation techniques such as Newey-West adjustments, resampling, rolling out-of-sample tests, FDR control, and sensitivity heatmaps.
Deep understanding of simulation frameworks, ensuring queue position, priority matching, and auction clearing integrity.
Technical stack: Python (NumPy, Pandas, numba, pyarrow), kdb+/q or ClickHouse, Git+CI.
Prior experience applying deep learning to LOB features, ETF–constituent alignment, or factor orthogonalization will be an added advantage.
Application Process
Interested candidates should submit their resume to
Tina Wang at , quoting the job title and reference number. Only shortlisted candidates will be contacted.
License No: 24S2395
Registration No: R2090553
Seniority level
Seniority level Director
Employment type
Employment type Full-time
Job function
Job function Strategy/Planning, Finance, and Analyst
Industries Financial Services and Investment Management
Referrals increase your chances of interviewing at Empower Partners Singapore by 2x
Get notified about new Quantitative Researcher jobs in
Singapore, Singapore .
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#J-18808-Ljbffr

You will be responsible to develop data models and analyze data to provide insights and support decision-making through visualizations and predictive modeling.

Job Description

• Create data models to meet various business needs by combining data from different sources for a comprehensive view of the data landscape.
• Clean, transform, and analyse data to extract valuable insights.
• Use statistical methods to identify trends, patterns, and correlations in the data.
• Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI to clearly communicate findings
• Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
• Write and optimize code to automate data collection, processing, and analysis tasks.
• Collaborate closely with other departments understand their data needs, provide analytical support, and develop customized data solutions.
• Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.

Requirements

• Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
• Experience with Python and R for data analysis, statistical modelling, and automation tasks.
• Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
• Strong understanding of statistical concepts
• Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
• Bachelor's degree or higher in IT-related, Statistical, or Mathematical.

Join as a Data Analysis Assistant and contribute to operational support, data analysis, and stakeholder engagement within a meaningful public sector environment. This role is ideal for diploma holders seeking exposure to analytics, coordination work, and regulatory operations.

• Perform data cleaning and collation across multiple datasets to ensure quality and consistency
• Support the implementation of data analytics and visualisation tools
• Compile and organise daily feedback from operational teams
• Handle various administrative functions, including stakeholder management with licensees and maintaining updated records of accredited establishments
• Coordinate industry engagement activities and support outreach programmes
• Assist with public/stakeholder engagement logistics, including invitation, registration, and follow-ups
• Provide general administrative and project support as required

• Proficient in data analysis tools and software, including:
  
  Microsoft Office Suite (PowerPoint, Excel, Word)
  
  Power BI and Power Query
  
  Knowledge in Python is a plus
• Strong attention to detail
• Excellent time management and ability to prioritise multiple tasks
• Adaptable and flexible with changing work requirements
• Able to work independently and collaboratively
• Good communication skills (written and spoken)

• Gain real-world experience in data operations and stakeholder engagement
• Learn from cross-functional projects within a regulatory and public service context
• Competitive hourly pay with opportunities to grow soft and technical skills

Apply now if you're a proactive, detail-oriented team player looking for short-term meaningful work with real impact.

Job Summary

We are seeking a skilled Data Analyst to join our team. The ideal candidate will have experience in data management, performance reporting, and budget planning.

About the Role

The Data Analyst will be responsible for collaborating with regional stakeholders to collect and analyze KPI metrics data. They will also work with the Data Analytics Team to develop management dashboards for performance reporting purposes.

Key Responsibilities

• Data Management: Collect and analyze KPI metrics data from regional stakeholders.
• Performance Reporting: Develop management dashboards for performance reporting purposes.
• Budget Planning: Manage budgets and forecast future financial performance.

Requirements

1. Diploma/Degree in Business Administration, Banking, or Finance.
2. Minimum 1 year of experience in performance reporting or planning, preferably in the financial industry.
3. Excellent working knowledge of MS Excel.
4. Fast learner with a curious mind and structured approach to task execution.
5. Strong analytical skills and attention to detail.
6. Excellent communication skills with various stakeholders.
7. Good attitude and ability to maintain confidentiality.
8. Strong interpersonal skills and ability to multitask.

About Us

We offer a dynamic work environment and opportunities for professional growth and development. If you are a motivated and detail-oriented individual who is passionate about data analysis, we encourage you to apply.

You will be part of the Advisory Services team that promotes upskilling and career development and lifelong learning to various segments of individuals and enterprises through physical and digital touchpoints. Your role will involve managing and analysing data to continuously improve the quality of skill and career advisory. You will need to leverage insights from trends, performance metrics and stakeholder feedback to continually ensure that Advisory Services maintain standards of excellence.

Our ideal candidate is someone with a passion for data analysis and stakeholder engagement.

Core Responsibilities

Data Management & Analysis

• Lead or support data-driven quality improvement projects aimed at enhancing advisory services
• Liaise with internal and external stakeholders on data governance matters to ensure data accuracy, consistency, and compliance with standards
• Review and manage case entries and other data sources to ensure integrity and usability for insights generation
• Conduct data analysis to identify trends and insights
• Prepare monthly reports and presentations for internal and/or external stakeholders on identified trends and insights
• Work with other team members to act on insights to improve advisory services continuously

Other

• Support event deployment on an ad-hoc basis
• Handle CRM (Client Relationship Management) cases to address clients' upskilling concerns on an ad-hoc basis
• Coordinate call assignments for Skills Ambassadors
• Perform all other duties assigned by supervisor or manager

Responsibilities

• 1 to 3 years of relevant experience
• Strong organisational and data management skills, with the ability to manage monthly reporting
• Strong interest in data analysis
• Comfortable working with large datasets data visualisation tools (Tableau/ PowerBI) and large language models
• Creative skills to develop visually appealing materials
• Proficiency in using Microsoft Office, especially Excel and PowerPoint, and design software for creating materials
• Possess domain knowledge of the CET landscape and labour market (e.g. in-demand skills and job roles) to contextualize and support relevant data analysis will be an advantage
• Ability to work independently and as part of a team to meet deadlines
• Excellent business writing and communication skills to collaborate with various stakeholders
• Ability to converse in Mother Tongue is an advantage
• Experience in service excellence or CRM will be welcomed

Candidates who do not have the required qualification or relevant experience are welcome to apply.

Successful candidates will be offered a 2-year contract in the first instance and may be considered for an extension or be placed on a permanent tenure.

Please note that only shortlisted candidates will be notified.

Job Summary

We are seeking a skilled Data Analytics Professional to join our team. As a key member of the organization, you will be responsible for developing and maintaining profiling tools to support systematic planning and targeted care delivery.

Your expertise in data analysis and reporting will enable you to consolidate and analyze performance indicators related to population health, ensuring accurate and timely insights.

You will also coordinate and facilitate meetings, workgroups, and user group activities related to data and analytics, handling requests for data and analytics with precision.

In this role, you will contribute to projects addressing clinical, preventative, social, environmental, and behavioural determinants of health, providing administrative and operational support as assigned.

Key Responsibilities:

• Develop, maintain, and improve profiling tools to support systematic planning and targeted care delivery
• Consolidate, analyze, and report on performance indicators related to population health
• Coordinate and facilitate meetings, workgroups, and user group activities related to data and analytics
• Handle requests for data and analytics, ensuring accuracy, timeliness, and relevance

Requirements:

· Bachelor's degree in Mathematics, Public Health, Statistics, or related discipline preferred

· Proficiency in Microsoft Office (Word, Excel, PowerPoint) required; experience with analytics and visualization tools (e.g., Tableau, Power BI) is an advantage

• Create data models to meet various business needs by combining data from different sources for a comprehensive view of the data landscape.
• Clean, transform, and analyse data to extract valuable insights.
• Use statistical methods to identify trends, patterns, and correlations in the data.
• Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI to clearly communicate findings
• Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
• Write and optimize code to automate data collection, processing, and analysis tasks.
• Collaborate closely with other departments understand their data needs, provide analytical support, and develop customized data solutions.
• Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.

• Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
• Experience with Python and R for data analysis, statistical modelling, and automation tasks.
• Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
• Strong understanding of statistical concepts
• Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
• Bachelor's degree or higher in IT-related, Statistical, or Mathematical.