Our company is growing rapidly and is looking for a quantitative researcher. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all the qualifications, you may still be considered depending on your level of experience.

Responsibilities for QUANTITATIVE RESEARCHER

The primary responsibility is to apply mathematical and statistical techniques to address practical investment challenges, shape our insights into how the markets will behave and develop investment models to generate new alpha through quantitative, event-driven signals.

• Identify, collect, and manipulate large sets of financial markets, industry-specific, and macroeconomic data to analyse and forecast business, industry and economic conditions and trends required for alpha generation;
• Monitor any relevant academic and financial market research to identify and synthesize secondary, qualitative, and/or and behavioural data that may be difficult to gather via primary research to complement primary research findings and expand the collection of market analytics and strategy signals;
• Apply tick-level data analysis and real-world trading experimentation to test the efficacy of factors and define strategy decision-making and asset allocation decisions across asset classes;
• Work with execution team on trading strategies and analysis to ensure current and proposed ideas are implemented, monitored, and executed efficiently and accurately;
• Regularly present findings and ideas to management team.

Qualifications

• Bachelor or Master’s Degree in related fields such as Statistics, Computer Science, Economics, Mathematics or equivalent
• Programming and database skills like MATLAB, Python, Bloomberg, SQL, VB, Microsoft Office
• Demonstrated ability to complete high-level investment related research independently
• Preference given to candidates with hands-on experience with statistical testing, A/B testing, predictive modelling, regressions, factor analysis
• Preference given to candidates with relevant experience in algorithmic trading, automated market making, and/or proprietary trading
• Bilingual in both English and Mandarin to communicate with team members.

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages ​​such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

Summary

We are seeking an AI/ML Researcher to lead the research and development of large language models (LLMs) solutions. The ideal candidate will have a minimum of 2 years of experience in NLP research and a deep understanding of core LLM components, including LLM modeling, information retrieval, entity-relation extraction, agentic frameworks, and reasoning. The role involves leveraging AI/ML algorithm framework, such as TensorFlow and PyTorch, to develop cutting-edge generative LLM solutions. Responsibilities include designing and conducting scientific experiments, utilizing NLP techniques and LLM core components to develop novel LLM solutions in cloud or on-premises environments. The candidate will also be expected to collaborate with the team, participate in code reviews, architecture discussions, and create comprehensive documentation. The ideal candidate should possess a strong foundation in statistical analysis, machine learning, deep learning, generative AI, and text representation techniques. Additionally, the candidate should have excellent communication skills, a strong work ethic, and a passion for delivering high-quality, innovative solutions.

Responsibilities:

• Leading in designing the research and experiment methodology, specifically in LLM core components.
• Conduct independent research and report experiment results, research findings to stakeholders, e.g., ...
• Collaborate with engineering team in various data engineering tasks, including data collection, preprocessing, quality control, and augmentation, to curate high-quality datasets essential for model training,
• Utilize analytical techniques to extract meaningful insights from large datasets
• Communicating regularly with supervisor and Research leads on scientifical progress, insight and research direction.
• Publishing research papers in reputable journals and conferences is valued, it is not a strict requirement for this role.
• Contribute to other program-related projects.
• Collaborate with engineering team to translate researched technology (low TRL) to engineering (high TRL).
• Candidates applying for senior staff positions are expected to mentor and support team members (or cross-team members) in technical advising.

Requirement:

• PhD or Master degree in Computer Science, Computer Engineering, Statistics, Engineering, or related field.
• 2-4 years of experience in research and development, specifically in one or more of the following areas:

1. Natural language processing, specifically in large language model (LLM) core component, e.g., joint entity relation, information retrieval, prompt engineering, reasoning, sentiment analysis, vulnerabilities in LLM, etc....
2. Generative AI, specifically in generating synthetic data.

• Demonstrate an analytical mindset with adept problem-solving skills.
• Keep abreast of the latest advancements in program-related techniques and methodologies,
• Exhibit a strong drive to deliver optimal solutions within tight timelines.
• Strong communication and organizational skills.
• Comprehensive documentation of technical specifications, architectural designs, and best practices.

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages ​​such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

A MNC technology organisation is seeking an experienced AI Researcher to join their team.

Your new company

We are seeking a highly skilled and experienced AI Researcher to join the team.

Experienced in artificial intelligence and machine learning, passion to innovate and improve the capabilities of existing solutions, work closely with cutting-edge research projects, develop new algorithms, AI initiatives, for independent and collaborative research.

Your new role

As AI Researcher in the engineering team, you will be responsible for:

· You will be responsible to design and conduct scientific experiments, utilizing core

AI/ML knowledge to develop novel AI solutions in cloud or on-premises environments. Work with statistical analysis, machine learning, deep learning, generative AI, and text representation techniques.

· Design, implement, and optimize algorithms and models for various applications employing supervised, self-supervised, semi-supervised, or unsupervised learning.

· Familiar with AI/ML algorithm framework, such as TensorFlow and PyTorch, to develop cutting-edge generative AI/ML solutions.

· Collaborate with our partners and engineers to apply research findings to real-world problems and product development.

· Communicating regularly with supervisor and Research leads on scientifical progress, insight and research direction.

· Develop prototypes of AI/ML solutions to solve real business and engineering problems in the areas of optimal building control and human wellbeing improvement.

What you need

· PhD or Master degree in Computer Science, Computer Engineering, Statistics,

· Engineering, or related technical field.

· 2-4 years of experience in research and development, specifically in one or more of

· the following areas:

· Experience with deep learning frameworks such as Pytorch or Tensorflow and machine learning libraries such as scikit-learn.

· Generative AI, specifically in generating synthetic data.

· Large vision language model (LVLM), Embodied AI.

· Proficiency in programming languages such as Python and/or C/C++. Experience

with deep learning frameworks like TensorFlow, Keras, and/ or PyTorch.

· Experience with any cloud computing platform and/or IoT systems is preferred

· Demonstrate an analytical mindset with adept problem-solving skills.

· Stay abreast of the latest research developments in AI through literature review,

attending conferences, and tech-sharing sessions with fellow team members.

What you'll get in return

In return, you'll be part of an organisation that values its employees. You will have a structured career growth and plenty of global developmental opportunities.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or emai [email protected] for a confidential discussion on your career. Referrals are welcome.

If this job isn't quite right for you, but you are looking for a new position within Cloud & DevOps, AI & Machine Learning, please contact us as well.

EA Reg Number: R1988154

EA License Number: 07C3924 | Company Registration No: 200609504D

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages ​​such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

The INSEAD’s Stone Centre for the Study of Wealth Inequality, in combination with the Economics and Political Science area, invites applications for a full time Pre-Doctoral Researcher to work as a Research Associate (Area Researcher) on INSEAD’s Singapore campus.

The role involves working with Professors Pushan Dutt and Lin Tian on various projects related to inequality, broadly defined. The ideal candidate should have strong data management and data analyses skills, particularly software packages such as STATA, R, Matlab and Python. Skills in STATA are especially valuable.

The position is ideal for a recent university or Masters graduate looking to develop their research skills in economics in view of applying for a PhD programme. It will provide the candidate with great preparation for PhD programme entry by training the applicant in doing research, giving him/her access to some PhD training and developing a relationship with potential letter writers.

The full-time position is for one year with a possibility of renewal after evaluation at the end of the year. The candidate needs to already have authorization to work in Singapore. Students who are graduating or have graduated from Singapore local universities may apply for the position.

Requirements

All candidates should fit the following profile:

• Bachelor's or Master’s degree in economics, computer science, statistics, or mathematics preferred.
• Fluency in written and oral English is required.
• Knowledge of STATA is required. At least one other programming language (Python, Julia, Matlab, SAS or R) is a plus.
• Strong analytical/empirical skills
• Ability to work independently and in small teams
• Excellent work ethic
• Excellent organizational and oral/written communication skills
• Strong motivation and high academic values

About us

The James M. and Cathleen D. Stone Centre for the Study of Wealth Inequality was founded in 2017 to serve as a venue for the research and teaching of income and wealth inequality issues in a business school environment. By convening an interdisciplinary team of scholars from across INSEAD, the Centre aims to generate new insights about inequality problems and business working together with government to solve them.

· INSEAD's Stone Centre for the Study of Wealth Inequality

· Economics and Political Science area

Applications

To be considered for the position, please submit

1. Cover letter.

2. Curriculum vitae.

3. The academic transcripts.

4. Any writing or research work sample.

5. Name and contact details of 2 potential references.

Please submit all materials to [email protected].

Applications and letters of recommendation may be submitted by email to [email protected]. Please mention job reference (STONEPRESGP). The review will begin immediately. Applications will be considered until the position is filled.

Successful applicants may start as soon as possible.

INSEAD is committed to fostering a diverse and inclusive academic community. We consider applicants for employment without regard to factors such as gender, race, sexual orientation, disability, or nationality.

We seek an AI Researcher with a solid background in artificial intelligence and machine learning to join our innovative research team. The candidate should have a passion for developing and advancing AI solutions through both independent and team-based research. In this role, you will be responsible for pioneering research projects, creating new algorithms, and driving forward our AI initiatives using frameworks like TensorFlow and PyTorch to deliver state-of-the-art generative AI/ML solutions. Key responsibilities include designing and conducting scientific experiments, applying foundational AI/ML knowledge to develop unique AI solutions for both cloud and on-premises deployments. You’ll also work collaboratively within the team, engage in code reviews, participate in architectural discussions, and ensure thorough documentation. Strong skills in statistical analysis, machine learning, deep learning, generative AI, and text representation methods are essential. Effective communication, a strong work ethic, and a dedication to delivering innovative, high-quality solutions are also critical for success.

Responsibilities

• Conduct innovative and cutting-edge research in AI and machine learning, with a focus on areas like computer vision (CV), natural language processing (NLP), and automatic speech recognition (ASR).
• Design, implement, and optimize models and algorithms for various applications, using supervised, self-supervised, semi-supervised, or unsupervised learning.
• Work with partners and engineers to translate research findings into real-world applications and product developments.
• Maintain regular communication with supervisors and research leads regarding progress, insights, and research directions.
• Publishing in top journals and conferences is valued but not mandatory.
• Collaborate with the engineering team to transition research technologies (low TRL) to advanced engineering stages (high TRL).
• Senior-level candidates are expected to mentor and provide technical guidance to team members.

Requirements

• PhD or Master’s degree in Computer Science, Computer Engineering, Statistics, Engineering, or a related technical field.
• 2-4 years of research and development experience in areas such as:

1. Computer Vision
2. NLP, including LLM core components (e.g., joint entity relation, information retrieval, prompt engineering, reasoning, sentiment analysis, guardrails)
3. Generative AI (e.g., synthetic data generation)
4. Audio Analytics
5. Large Vision Language Models (LVLM)
6. Embodied AI

• Proficiency in programming languages such as Python and/or C/C++, with experience in deep learning frameworks like TensorFlow, Keras, and PyTorch.
• Strong analytical and problem-solving abilities.
• Up-to-date knowledge of AI research trends through literature reviews, conferences, and team knowledge-sharing.
• A proactive approach to delivering effective solutions within tight timelines.
• Strong organizational, communication, and, preferably, mentoring skills.
• Competent in documenting technical specifications, architectural designs, and best practices.

This is a hybrid position with 3 days working in office and 2 days working from home.

About the Company

We are focusing on AI/ML, Analytic, Cloud, and Cyber Security in order to provide solutions using emerging technologies through applied research and development. Due to our expansion plan, we are looking to hire AI Researcher to join the team.

About the Job

• You will need a strong foundation in artificial intelligence and machine learning, along with a drive to innovate and enhance existing solutions.
• This role involves working on advanced research projects, developing new algorithms, and contributing to AI advancements through both independent and collaborative efforts
• You’ll use frameworks like TensorFlow and PyTorch to create cutting-edge generative AI/ML solutions.
• Key responsibilities include designing scientific experiments, developing novel AI solutions for cloud or on-premises environments, collaborating with the team, participating in code reviews and architecture discussions, and creating detailed documentation.

Requirements

1)You will need min Master’s degree in Computer Science, Computer Engineering, Statistics, Engineering, or a related technical field.

2)Proficiency in Python and/or C/C++, with experience in deep learning frameworks like TensorFlow, Keras, and/or PyTorch.

3)Commitment to staying current with AI advancements through literature review, conferences, and team tech-sharing sessions.

4)Min 2 years of research and development experience in one or more of the following:

• Computer vision
• Natural language processing, especially in large language model (LLM) components (e.g., joint entity relations, information retrieval, prompt engineering, reasoning, sentiment analysis, guardrails, etc.)
• Generative AI, with a focus on synthetic data generation
• Audio analytics
• Large vision language models (LVLM)
• Embodied AI

R1332781

Summary

We are looking for an enthusiastic and skilled AI Researcher to join our dynamic research team. The ideal candidate should have a strong foundation in artificial intelligence and machine learning, coupled with the passion to innovate and improve the capabilities of existing solutions. You will work on cutting-edge research projects, develop new algorithms, and contribute to the advancement of our AI initiatives, via both independent and collaborative research efforts. The role involves leveraging AI/ML algorithm framework, such as TensorFlow and PyTorch, to develop cutting-edge generative AI/ML solutions. Responsibilities include designing and conducting scientific experiments, utilizing core AI/ML knowledge to develop novel AI solutions in cloud or on-premises environments. The candidate will also be expected to collaborate with the team, participate in code reviews, architecture discussions, and create comprehensive documentation. The ideal candidate should possess a strong foundation in statistical analysis, machine learning, deep learning, generative AI, and text representation techniques. Additionally, the candidate should also have excellent communication skills, a strong work ethic, and a passion for delivering highquality, innovative solutions.

Responsibilities:

• Conduct novel and cutting-edge research in AI and machine learning. Research areas include but are not limited to computer vision (CV), natural language processing (NLP), automatic speech recognition (ASR), etc.
• Design, implement, and optimize algorithms and models for various applications employing supervised, self-supervised, semi-supervised, or unsupervised learning.
• Collaborate with our partners and engineers to apply research findings to real-world problems and product development.
• Communicating regularly with supervisor and Research leads on scientifical progress, insight and research direction.
• While publishing research papers in reputable journals and conferences is valued, it is not a strict requirement for this role.
• Contribute to other program-related projects.
• Collaborate with engineering team to translate researched technology (low TRL) to engineering (high TRL).
• Candidates applying for senior staff positions are expected to mentor and support team members (or cross-team members) in technical advising.
• Adhere to ethical research and coding best practices with timely documentation and updates.

Requirement:

• PhD or Master degree in Computer Science, Computer Engineering, Statistics, Engineering, or related technical field.
• 2-4 years of experience in research and development, specifically in one or more of the following areas:

1. Computer vision.
2. Natural language processing, specifically in large language model (LLM) core component, e.g., joint entity relation, information retrieval, prompt engineering, reasoning, sentiment analysis, guardrail, etc....
3. Generative AI, specifically in generating synthetic data.
4. Audio analytics.
5. Large vision language model (LVLM),
6. Embodied AI.

• Proficiency in programming languages such as Python and/or C/C++. Experience with deep learning frameworks like TensorFlow, Keras, and/ or PyTorch.
• Demonstrate an analytical mindset with adept problem-solving skills.
• Stay abreast of the latest research developments in AI through literature review, attending conferences, and tech-sharing sessions with fellow team members.
• Exhibit a strong drive to deliver optimal solutions within tight timelines.
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong communication and organizational skills. Mentoring experience and skills are a plus.
• Comprehensive documentation of technical specifications, architectural designs, and best practices.

Celebrating 21 years in business this year, Kerry Consulting has grown from humble roots to becoming the largest Singapore incorporated Executive Search & Selection Firm. Our consulting team is the most experienced in the region, with many of our directors celebrating 15+ years with Kerry this year. With almost 100 employees (and counting) across function and industry specialisms, we directly influence and transform lives for our candidates and clients every day.

With continued success, we are looking to fortify our already outstanding Research Team

As a Researcher, you will have the opportunity to develop yourself professionally by being part of one of the best Research Teams in the country and partnering with award winning directors of the business in executing confidential and time sensitive search assignments. The mandates you work on will be varied with regional coverage.

With a cross industry market focus from Financial Services to FMCG, Technology, Energy & Commodities and Legal etc, the coverage will range from niche specialty profiles to senior heads of department to C-suite levels. You will gather market intelligence, market map and source and screen candidates and offer input on candidate selection and key target organisations.

Job scope:

• Systemically mapping out targeted organisations and talent pool
• Conduct market research to understand industry trends.
• Identify candidates through database searches, networking, and online platforms.
• Initiate contact with potential candidates through various channels.
• Maintain an updated and organized candidate database.
• Analyse competitors and industry leaders to identify key targets and trends
• Create organizational charts and industry maps for talent visualisation
• Assess candidate qualifications and suitability for executive roles.
• Provide market intelligence and insights to support decision-making.
• Collaborate with consultants to refine candidate profiles and search strategies.
• Analyse data for optimizing search strategies and improving outcomes.
• Contribute to the development of targeted search strategies.
• Document findings and produce concise reports and updates for consultants.
• Ensure compliance with ethical standards, data protection, and industry regulations.

Requirements:

• An entrepreneurial mind set, strong levels of reasoning, conversational ability and commercial acumen
• Comfortable with making persistent cold calls, handling objections, and be able to convert cold calls to warm acquaintances over the phone
• Assured organisational discipline with integrity and ability to exercise high levels of discretion in a confidential environment
• Able to engage senior executives with the ability to put people at ease
• Interest in current affairs and market developments
• Demonstrable intellectual rigour and a track record in goal oriented achievements
• Open to experience and background

See more info here:

https://www.linkedin.com/company/kerry-consulting/life/work-at-kerry/

Kerry Consulting Pte Ltd

Licence No. 16S8060

Reg: R22110337

The role involves conducting thorough research to support the production of high-quality video content, from documentaries and series to news package. The ideal candidate will have a passion for storytelling, a keen eye for detail, and the ability to work effectively in a fast-paced production environment.

Responsibilities:

1. **Research & Content Development**:
- Conduct in-depth research on various topics, including historical events, industry trends, and target audience preferences.
- Gather information from credible sources (articles, books, archives, interviews, etc.) to support video concepts and scripts.
- Compile background materials, facts, and data to enhance the accuracy and relevance of video projects.
- Collaborate with writers, producers, and directors to ensure that research aligns with creative and production goals.

2. **Script Support**:
- Assist in the story development by providing accurate and engaging research material.
- Fact-check scripts to ensure historical and factual accuracy, making necessary corrections as needed.
- Identify potential experts, interviewees, or locations relevant to the project.

3. **Content Sourcing**:
- Identify and source appropriate stock footage, images, music, and other visual/audio elements for production.
- Work with external libraries, archives, and rights holders to secure permissions for third-party content.

4. **Pre-Production Assistance**:
- Research and recommend filming locations, including coordinating logistics such as permits and local resources.
- Prepare briefing documents and reports to support the production team during pre-production planning.
- Help identify potential interview subjects or contributors relevant to the content.

Skills Required:

- Strong research skills with the ability to synthesize large amounts of information into concise, usable formats.

- Excellent communication and writing skills, preferably in both English and Chinese.

- Detail-oriented with a focus on accuracy and consistency.

- Ability to manage multiple projects simultaneously and meet tight deadlines.

- Familiarity with video production processes, including pre-production, production, and post-production.

- Proficient in using research tools, databases, and software (e.g., online archives, video databases, etc.)

Key Responsibilities:

• Conduct exploratory research on various blockchain protocols (e.g., Bitcoin, Ethereum, Polkadot, Cosmos) and identify potential improvements or applications.
• Design, test, and implement new blockchain protocols and consensus mechanisms to enhance scalability, security, and efficiency.
• Study cryptographic methods used in blockchain and ensure data integrity, privacy, and security across networks.
• Research and prototype advanced smart contract mechanisms and decentralized applications (DApps) on platforms like Ethereum, Hyperledger, or Corda.
• Explore and develop Layer 2 solutions (such as rollups or sidechains) and sharding methods to enhance blockchain scalability.
• Monitor industry trends, create detailed research reports, and present findings to stakeholders.
• Work with software engineers and data scientists to translate research into viable technical solutions and consult on project implementations.
• Document research outcomes and, where relevant, publish papers or blog posts to contribute to open-source communities.

Qualifications:

• Bachelor’s or Master’s in Computer Science in Blockchain, Cryptography, Mathematics, or a related field. Ph.D. preferred for senior research roles.
• Proficiency in programming languages such as Python, Rust, Solidity, or Go.
• Strong understanding of distributed ledger technology, blockchain consensus mechanisms, and cryptographic principles.
• Prior experience in blockchain development or research (e.g., on Ethereum, Polkadot, Hyperledger)
• Experience with tools like Ethereum’s Web3, Hardhat, Truffle, and various blockchain test environments.
• Ability to approach complex issues logically and innovatively, with a strong focus on security and reliability.
• Knowledge of cloud platforms (e.g., AWS, Azure) and DevOps practices in the context of blockchain.
• Familiarity with tokenomics, decentralized finance (DeFi), and the broader Web3 ecosystem.
• Business level Mandarin speaking is required as the candidate will be required to liaise with Mandarin stakeholders, vendors and counterparts on daily basis.
• Publication record in reputable blockchain conferences and journals.

Savita Rai

EA REG NO: R1873418

EA License No:23C2060

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

Job Responsibility

1. Monitor and assess markets to produce news, price assessments, market commentaries and reports

2. Analyse data to create insights into global commodities trade (mainly coke and coal)

3. Daily contact with traders, buyers and producers and other key market sources to build relationships and gather market intelligence

4. Develop two-way relationships with contacts and share market intelligence

5. Contribute copy to relevant daily news stories, publications and a real-time news service

6. Attend meetings, conferences and industry events to build contacts, report on news.

Requirement：

1. Minimum Bachelor’s degree in International Trade, Economics, Business or Marketing, etc

2. Minimum 2 years working experience in well-known industry consulting companies and market research firms.

3. Familiar with the bulk commodity industries such as the Platts Coal and Coke Index

4. Have solid research skills, strong logical thinking and communication skills, and have a clear understanding and keen judgment of macroeconomic policies, major influencing factors of the industry, industry competition pattern, market supply fundamentals, leading companies, etc

5. Excellent communication, negotiation, and interpersonal skills

6. Mature and thoughtful with the ability to operate in a collaborative, team-oriented culture

7. Proficient in Mandarin and English

For application, please provide your CV (incl: current salary and expected salary) in Chinese.

We are seeking an experienced Market Researcher with a strong background in strategic consulting and technology research, specifically in areas like AI, Trading, and EV. The ideal candidate will drive business growth by providing actionable insights and strategic recommendations to clients across various industries. You will collaborate with cross-functional teams to influence key decision-makers and deliver high-quality market research and analysis.

Key Responsibilities:

Technology Consulting & Research:

• Conduct in-depth research and provide strategic guidance on emerging technologies, including AI.
• Produce whitepapers, research reports, and strategic presentations that deliver key insights on cutting-edge innovations.
• Advise management on industry trends, market positioning, and product development strategies.
• Provide actionable recommendations based on in-depth market research
  

Innovation & Thought Leadership:

• Spearhead design thinking and business innovation sessions.
• Showcase emerging technologies through hands-on demonstrations, to engage Senior management in innovation discussions.
  

Go-to-Market & Strategy Development:

• Deliver go-to-market strategies and actionable insights by leveraging market intelligence.
• Provide financial analysis, including ROI modeling, to showcase the value of smart solutions to clients in diverse sectors.
  

Qualifications:

• Bachelor's or Master's degree in Business, Marketing, Data Science, or a related field.
• Proven experience in market research, custom consulting, or strategic analysis within technology sectors.
• Strong knowledge of AI technology, EV Electric Vehicle (EV) market and ecosystem is a plus.
• Demonstrated ability to present complex research findings to senior stakeholders and lead client engagements.
• Excellent verbal and written communication skills, with experience in developing whitepapers, strategic reports, and presentations.
• Expertise in data analysis, financial modeling, and competitive benchmarking.

Preferred Skills:

• Experience in the Electric Vehicle (EV) market and ecosystem.
• Knowledge of geographic information systems (GIS) and AI-driven data integration solutions.
• Familiarity with analyzing the company’s product value proposition and market positioning.

Introduction to The Centre for Precision Fermentation and Sustainability:

The Centre for Precision Fermentation and Sustainability (PreFerS) is a research program hosted by the Illinois Advanced Research Center at Singapore Ltd. (Illinois ARCS). The program aims to develop advanced fundamental sciences and technologies to implement fermentation-based production of foods and food ingredients, and also to enhance food security and sustainability in Singapore, particularly addressing the micronutrient food insecurity through precision fermentation.

About This Role:

We are seeking a highly motivated and skilled Postdoctoral Researcher to join our dynamic team. The successful candidate will contribute to cutting-edge research in the field of precision fermentation and sustainability, focusing on developing innovation fermentation process and sustainable practices. This role offers an exciting opportunity to work on research aimed at addressing global challenges in food production, environmental sustainability, and bioengineering.

Key Responsibilities:

· Conduct research on microbial fermentation and production of vitamin and vitamin-enriched foods and food ingredients using precision fermentation and natural fermentation on both lab-scale and pilot scales

· Collaborate with metabolic engineers, team members and other stakeholders as necessary

· Write up for publications and/or patent applications

Job Requirements:

· Ph.D degree in a relevant field such as food bioscience, food science

· Ability to work independently to design and execute experiments, and interpret data

· Proficiency in English, with good writing and interpersonal communication skills

· A good understanding of microbial physiology and metabolism

· Good knowledge of food fermentation and food science

· Analytical skills, especially analysis of vitamins

Application Process:

Interested candidates should submit their resume/CV together with a cover letter outlining their qualifications and relevant experience for the position.

Shortlisted candidates will be contacted for further assessment.

Job Description:

• Conduct cutting-edge research in the field of recommendation & search, natural language processing and deep learning.
• Develop AI-enabled products and services with other groups in the company
• Collaborate with world-class organizations in academia projects

Skills / Qualifications:

• Possess Master degree or above in Computer Science, statistics, applied mathematics, or have equivalent research experiences
• Demonstrate the ability to generate new ideas and innovate
• Have 3 years of academic or industrial working experiences in recommendation & search, natural language processing, deep learning, machine learning, or related fields
• Have strong programming skills, experienced in one or more programming languages including but not limited to: C/C++, Java, Python.

Next Step

Click “apply” or send resume to: Ryce [email protected]

EA Licence No.91C2918| Personnel Registration No. R23117258

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including San Jose, Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imagination thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About The Team:

The mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video/image/audio/text/code), etc., to let machine better understand user creations on Tiktok platform. Regarding to video/image/audio/text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize Tiktok codebase, and make the code/coding become more accessible for Tiktok engineers. The main job directions include:

1. Explore large-scale&multi-modal LLMs and optimize systems to the level of other advanced models, e.g., Gemini;

2. multi-modal pretraining, instruction tuning, preference alignment, and model compression;

3. Implementation of relevant applications, including video understanding, reasoning and code generation, etc.;

4. In-depth research and collaboration with researchers from top-tier universities worldwide;

Qualifications

1. PHD or Master with top AI conference papers in ML/CV/NLP are required;

2. Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, winners of competitions such as ACM/ICPC, NOI/IOI, Top Coder, Kaggle, etc. are preferred

3. In-depth research experience in Machine Learning, with a particular emphasis on Large Language Models (LLMs) and Generative AI

4. Excellent ability to analyze and solve problems, and be passionate about solving challenging problems

Preferred Qualifications

1. Passion for technology, good communication skills and team spirit

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

[What the role is]

We are looking for a researcher/senior researcher to work on the following:

Research projects seeking to improve tree structural stability in urban environments, including the development of new technologies and methodologies to assess defects in tree trunks, tree root parameters in constrained urban spaces and tree root anchorage strength, as well as wind load modelling and measurement for trees. Key roles for the projects above will include project management, field and laboratory testing, project coordination and contributions to reports and scientific publications.

[What you will be working on]

1. Coordination between research stakeholders and greenery asset managers to perform large scale-field work (e.g. LiDAR scanning, root excavations and static load testing etc.).

2. Data collection and evaluation of research outcomes.

3. Project administration (e.g., claims) and ad-hoc duties

4. Contributions to reports and scientific publications.

[What we are looking for]

· Master’s degree in tree biomechanics, civil/environmental engineering, forestry, arboriculture, ecology, plant physiology, or related fields.

· Strong written and verbal communication skills.

· Experience in one or more scientific computing language (e.g., Python, R, MATLAB) or experience in numerical modelling will be advantageous but not mandatory.

· Team player with the ability to work with other research teams and key stakeholders in government, industry, and academia.

· Relevant research and work (project management and administration) experience will be an advantage.

We regret to inform that only shortlisted candidates are notified.

Key responsibilities

• Conduct research on key cutting-edge technologies to achieve desired trustworthiness of AI (LLM, AIGC, DNN ets.,), including defense against adversarial attacks, model confidentiality protection, data privacy protection, model verification, and content security;
• Implement tools and modules for evaluating trustworthy AI properties, enhancing them and/or detecting violations during runtime to enhance our products and services.
• Collaborate with universities to bridge the gaps between academic research and industry practices.
• Participate in relevant standardization activities and contribute to eco-systems.
• Provide insights and strategies for AI trustworthiness in products and services, and to design the best AI governance, security and privacy protection guidelines.

Requirements:

• Ph.D. in Computer Science or related field.
• Publication record in security or AI conferences (e.g. CCS, S&P, USENIX SECURITY, NDSS, NeurIPS, ICML, ICLR, AAAI, etc), other related conferences.
• Programming proficiency in Python, other languages are a plus.
• Hands-on experience working with deep learning toolkits such as Tensorflow, PyTorch or Mindspore.

Next Step

Click “apply” or send resume to: Ryce [email protected]

EA Licence No.91C2918| Personnel Registration No. R23117258

Summary

• Location: Shenton Way
• Salary: Up to $7500

Responsibilities

• Define and plan qualitative user research to effectively inform the design and development of products & services.
• Recruit participants for research
• Conduct qualitative user research independently (e.g. in-depth interviews, contextual inquiries, ethnographic observations, focus groups, diary studies, usability testing, remote testing, etc.)
• Collaborate with UX Designers/ UX team to translate research insights into design (e.g. brainstorming, collaborative sketching, prototyping, user stories, etc.)
• Communicate research insights effectively to stakeholders depending on project needs (e.g. reports, stakeholder workshops, videos, etc.)
• Nice to have: Understanding of quantitative user research such as data analytics, A/B testing, data mining, card sorting, survey evaluation, etc

Requirements

• Experience with the end-to-end user research process
• Knowledge of UX design processes and methodologies
• Ability to facilitate discussions and workshops with different stakeholders
• Experience working in an agile development environment
• Portfolio with examples of leading strategic user research with significant business outcomes

Applicants who possess relevant experience for the above responsibilities are most welcome to apply. If you do not possess the above experience, your application will still be considered on individual merits and you may be contacted for other opportunities.

By submitting your personal data and/or resume, you give consent to collection, use and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

**We regret to inform that only shortlisted candidates would be notified.

Chua Pei Jie Emily

Registration Number: R24125061

EA Licence No: 06C2859 (MCI Career Services Pte Ltd)

Squarepoint is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. We have deep expertise in trading, technology and operations and attribute our success to rigorous scientific research. As a technology and data-driven firm, we design and build our own cutting-edge systems, from high performance trading platforms to large scale data analysis and compute farms. With offices around the globe, we emphasize true, global collaboration by aligning our investment, technology and operations teams functionally around the world.

Overview of Quant Researcher Position:

• Research and implement strategies within the firm’s automated trading framework.
• Analyze large data sets using advanced statistical methods to identify trading opportunities.
• Develop a strong understanding of market structure of various exchanges and asset classes.

Typical Day of Quant Researcher:

• Primary focus throughout the day is on researching and implementing trading ideas.
• Before market open, check that all required data and related processes are ready for the trading day.
• During market hours, sporadically monitor behavior and performance of strategies.

Skill Set Required For Position:

• Quantitative background - includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics.
• Programming proficiency with at least one major programming or scripting language (e.g. C++, Java, Python).
• Strong communication skills and ability to work well with colleagues across multiple regions.
• Ability to work well under pressure

Squarepoint is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. We have deep expertise in trading, technology and operations and attribute our success to rigorous scientific research. As a technology and data-driven firm, we design and build our own cutting-edge systems, from high performance trading platforms to large scale data analysis and compute farms. With offices around the globe, we emphasize true, global collaboration by aligning our investment, technology and operations teams functionally around the world.

Overview of Quant Researcher Position:

• Research and implement strategies within the firm’s automated trading framework.
• Analyze large data sets using advanced statistical methods to identify trading opportunities.
• Develop a strong understanding of market structure of various exchanges and asset classes.

Typical Day of Quant Researcher:

• Primary focus throughout the day is on researching and implementing trading ideas.
• Before market open, check that all required data and related processes are ready for the trading day.
• During market hours, sporadically monitor behavior and performance of strategies.

Skill Set Required For Position:

• Quantitative background - includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics.
• Programming proficiency with at least one major programming or scripting language (e.g. C++, Java, Python).
• Strong communication skills and ability to work well with colleagues across multiple regions.
• Ability to work well under pressure

Squarepoint is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. We have deep expertise in trading, technology and operations and attribute our success to rigorous scientific research. As a technology and data-driven firm, we design and build our own cutting-edge systems, from high performance trading platforms to large scale data analysis and compute farms. With offices around the globe, we emphasize true, global collaboration by aligning our investment, technology and operations teams functionally around the world.

Overview of Quant Researcher Position:

• Research and implement strategies within the firm’s automated trading framework.
• Analyze large data sets using advanced statistical methods to identify trading opportunities.
• Develop a strong understanding of market structure of various exchanges and asset classes.

Typical Day of Quant Researcher:

• Primary focus throughout the day is on researching and implementing trading ideas.
• Before market open, check that all required data and related processes are ready for the trading day.
• During market hours, sporadically monitor behavior and performance of strategies.

Skill Set Required For Position:

• Quantitative background - includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics.
• Programming proficiency with at least one major programming or scripting language (e.g. C++, Java, Python).
• Strong communication skills and ability to work well with colleagues across multiple regions.
• Ability to work well under pressure

At Aleph, we design human experiences by asking the right questions and embracing future-ready solutions. Our team of CreativeEngineers operates at the intersection of strategy, technology, and craft, transforming visionary ideas into human-centered digital experiences. Through lean team models and rapid collaboration, we create solutions that uplift our clients, community, and craft beyond today’s standards.

We are looking for an UX Research Consultant who thrives in multi-disciplinary environments and is eager to grow with us. This role blends research, human-centered design (HCD) principles, and modern AI tools to deliver insights that shape impactful digital outcomes. You will steer conversations with stakeholders, helping to align research and design strategy with business goals.

Key Responsibilities

• Passionate about turning data into insights and insights into strategic decisions that influence business outcomes.
• Conducts end-to-end research using HCD principles—ranging from user interviews and usability tests to ideation sessions.
• Collaborates within lean, multi-disciplinary teams to align business priorities with meaningful design outcomes.
• Monitors performance and trends to continuously identify opportunities for improvement and innovation.
• Leads project conversations and ensures research insights steer strategic direction effectively.

Prerequisites

• Comfortable using AI tools to empower research, analysis, and design workflows.
• Stays curious and up-to-date on emerging technologies and trends.
• Skilled in interpreting data and delivering actionable insights through concise reporting.
• Identifies new opportunities for process improvements that align with business and user needs.
• Works fluidly in lean and agile models across multi-disciplinary teams to achieve shared goals.

Benefits

• Competitive salary (compensation will be based on experience)
• Medical insurance
• Yearly reward based on performance
• Casual work environment and attire
• A solid team behind you: great people who love what they do
• A fun culture which promotes learning and knowledge sharing
• Opportunities for personal and professional growth offerings from our in-house Learning @ Aleph Academy, Flocket meetups, timely training for skills upgrade, workshops and conferences.

Get in touch

Please visit www.aleph-labs.com or drop us an email at [email protected].

Aleph is an equal opportunity employer and we work in an engaging, collaborative environment, where ideas are shared freely. By uncovering insights and opportunities, we inspire everyone to dream big towards the future solutions.