Total 83 Full-time researcher job vacancies

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.

Position Overview

We are seeking a highly motivated Postdoctoral Researcher to join our team in advancing protein expression and strain engineering projects using Komagataella phaffii (Pichia pastoris). The successful candidate will play a key role in developing optimized expression systems, engineering strains for enhanced yield, and contributing to downstream applications in biotechnology and food innovation.

Key Responsibilities:

·       Design, construct, and evaluate recombinant K. phaffii strains for high-level protein expression.

·       Perform molecular cloning, promoter screening, and vector optimization for heterologous protein production.

·       Develop high through put screens for evaluation of protein expression.

·       Conduct fermentation experiments in flask and bioreactor formats, optimizing growth conditions and induction strategies.

·       Apply strain engineering approaches (e.g., CRISPR/Cas9, metabolic pathway optimization) to improve protein yield and stability.

·       Collaborate with team members on purification workflows, analytical characterization, and functional assays of expressed proteins.

·       Participate in the development of project strategy.

·       Document experimental results, prepare technical reports, and contribute to publications and grant proposals.

·       Mentor junior researchers and support collaborative projects across the laboratory.

Job Requirements:

·       PhD in Molecular Biology, Biotechnology, Biochemistry, or related field.

·       Strong expertise in yeast genetics and protein expression, particularly with K. phaffii.

·       Hands-on experience with cloning, strain engineering, and fermentation techniques.

·       Familiarity with protein purification methods (e.g., affinity chromatography, FPLC).

·       Demonstrated ability to troubleshoot experimental challenges and design innovative solutions.

·       Strong publication record in relevant fields.

·       Excellent communication and teamwork skills.

Preferred Skills

·       Experience with synthetic biology tools for pathway engineering.

·       Knowledge of bioprocess scale-up and bioreactor operation.

·       Familiarity with omics-based approaches (transcriptomics, proteomics) for strain characterization.

·       Ability to align research outcomes with industrial biotechnology applications.

Opportunities

·       Work in a collaborative, interdisciplinary environment focused on sustainable biotechnology.

·       Contribute to projects with direct relevance to food innovation and precision fermentation.

·       Access to state-of-the-art laboratory facilities and fermentation equipment.

·       Professional development through publications, conferences, and industry collaborations.

Application Process:

*Interested candidates should submit their resume/CV together with a cover letter outlining their qualifications and relevant experience for the position. Please also include the names and contact details of three professional referees.

Applications will be considered until the corresponding position has been filled. Only shortlisted candidates will be notified.

Overview
We are seeking a Cyber Security Researcher to join a team focused on identifying and mitigating software vulnerabilities through advanced security research. This role offers the opportunity to work alongside cyber threat experts in conducting vulnerability research, reverse engineering, fuzzing, and code auditing to strengthen system security against evolving cyber threats.

Responsibilities

• Collaborate with cyber security and threat intelligence experts to identify and mitigate security risks.
• Conduct vulnerability research through fuzzing, reverse engineering, and source code auditing.
• Analyze software and systems to identify security weaknesses and exploit paths.
• Develop proof-of-concept (PoC) exploits to validate identified vulnerabilities.
• Investigate security flaws and recommend remediation strategies.
• Contribute to the development of tools and methodologies for vulnerability discovery and analysis.
• Stay current with emerging cyber threats, attack techniques, and security research trends.

Requirements

• Min 2 years of experience in vulnerability research, reverse engineering, software security, or cyber security research.
• Hands-on experience in native userland and or kernel-space vulnerability research.
• Experience identifying and analyzing security vulnerabilities through fuzzing, reverse engineering, and code auditing.
• Strong programming skills in C and Python.
• Familiarity with ARM/AArch64 assembly language and low-level system internals.

Overview

We are seeking an AI/ML Researcher to drive research and development in Large Language Models (LLMs), Natural Language Processing (NLP), and Generative AI. This role focuses on LLM research, information retrieval, reasoning, model evaluation, and the development of innovative AI solutions through scientific experimentation.

Responsibilities

• Conduct research in NLP and LLM domains, including information retrieval, entity-relation extraction, reasoning, sentiment analysis, and LLM vulnerabilities.
• Design and execute scientific experiments, benchmarking frameworks, and model evaluations.
• Develop and evaluate Generative AI and LLM solutions using PyTorch, TensorFlow, and modern NLP frameworks.
• Research synthetic data generation, LLM performance optimisation, and emerging AI techniques.
• Communicate research findings and collaborate with engineering teams to translate research into deployable solutions.

Requirements

• Strong background in NLP, LLMs, Generative AI, and machine learning research.
• Hands-on experience with PyTorch and/or TensorFlow.
• Experience in information retrieval, reasoning, entity-relation extraction, sentiment analysis, or LLM evaluation.
• Strong understanding of research methodology, experiment design, benchmarking, and model evaluation.
• Experience developing, fine-tuning, or evaluating LLM solutions.
• Master's or PhD in Computer Science, AI, Data Science, Statistics, Engineering, or a related field preferred.

About Company

Founded in 2022, XG Tech is driving the future of smart vehicles. Its mission is to empower the digital transformation of automobiles, moving from distributed computing to a centralized, cross-domain platform.

XG Tech focuses on the intelligent cockpit—the next frontier of differentiation—while seamlessly integrating advanced driving systems. By reimagining cars as mobile living spaces, XG Tech aligns with the evolving trend of vehicles becoming the “third living space.”

Role Summary

As a Senior Agent Researcher, you will design and build evaluation-driven Agent and multi-agent systems for complex real-world applications. You will focus not just on making Agents work, but on understanding, measuring, and continuously improving their behavior, combining research depth with strong engineering execution in an AI-native development environment.

Key Responsibilities

• Build and evolve evaluation-driven Agent systems, using evaluation as the core mechanism for behavior improvement and iteration
• Design Agent architectures that are observable, maintainable, and optimizable under real-world constraints
• Develop scalable evaluation infrastructure, including automated testing, benchmarking, and experimentation frameworks
• Optimize Agent performance across architecture, model selection, context management, memory, and tool usage, balancing performance and cost
• Rapidly prototype Agent systems and demos, integrating research insights with engineering and product validation
• Continuously explore and apply advancements in LLMs, multimodal models, multi-agent systems, and context engineering

How You Will Stand Out

• Proven experience designing, building, or deploying Agent systems, LLM-based applications, or complex AI systems in production environments
• Strong understanding of AI/ML fundamentals and system design, including models, inference, training, context, and evaluation
• Hands-on experience with Agent evaluation frameworks, automated experimentation, or A/B testing
• Ability to translate cutting-edge research (LLMs, MLLMs, multi-agent systems) into practical, production-ready solutions
• Strong systems thinking with a research-oriented mindset and solid engineering execution
• Publications, open-source contributions, or experience in automotive, chip, or intelligent cockpit systems are advantageous

XG Tech is committed to providing equal employment opportunities by country, state, and local laws. XG Tech does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

Overview

NEU Battery Materials aims to be the largest, cleanest, and most neutral source of recycled lithium globally. The firm developed the world’s first patented electrochemical redox recycling method that only uses electricity and water. This revolutionary approach is paving the way for a more sustainable future in LFP battery recycling. 

This role is about figuring things out. You’ll spend your time understanding the current state of our technology, identifying what we don’t yet know, and using a combination of your technical background and genuine curiosity to come up with ideas worth testing. Then you’ll run those experiments, interpret the results, and work toward solutions that are designed from the start to translate to commercial scale.

The scope spans electrolyzer development, electrode and electrocatalyst work, impurity removal, electrolyte behaviour, mass and water balances, and broader chemical and electrochemical challenges as they arise. Some problems will be clearly defined. Others you’ll need to frame yourself. You’ll work closely with the Engineering Team.

If you enjoy research and the above sounds like you, click "Apply" below or send your resume to careers@neumaterials.com

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What You’ll Work On

• Design and execute experiments to develop and optimise our electrolyzer systems, including electrode fabrication, electrocatalyst development and cell characterisation
• Investigate and resolve process challenges: impurity behaviour, electrolyte stability, mass and water balances across the system
• Set up proof-of-concept (POC) experiments for new process ideas and take promising ones through iterative development cycles toward scale-up
• Perform electrochemical analysis (EIS, voltammetry, Tafel analysis) and wet chemical characterisation; interpret results and draw actionable conclusions
• Support pilot and process engineering work by translating bench findings into parameters that matter at scale
• Contribute to grant proposals, patent filings and internal technical documentation as needed

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Requirements

• PhD or MS/BS with strong hands-on research experience in Electrochemistry, Chemical Engineering, Chemistry, Materials Science or a related field
• 3–5 years of experimental research experience in electrochemistry or closely related systems
• Solid grounding in electrochemical fundamentals: thermodynamics, kinetics, mass transport, electrode processes
• Practical experience with electrochemical characterisation techniques - EIS, cyclic voltammetry, impedance analysis and holistic data interpretation
• Track record of taking experiments from concept through execution and subsequently through conclusions, and owning the outcomes

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Technical advantage

• Experience with alkaline electrolyzer systems or related electrochemical devices (fuel cells and redox flow batteries)
• Familiarity with ion exchange membranes, corrosion-resistant materials, or trace metal separation/purification
• Modelling or simulation experience: COMSOL, DFT, Python/MATLAB for kinetic or process modelling
• Awareness of relevant safety and environmental standards (ISO, lab-scale chemical handling)

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Who We’re Looking For

Beyond the technical requirements, the person who’ll do well here is genuinely curious. Not just about their specific area, but about the broader system and how things connect. You’re self-driven enough to identify what needs investigating without being told, and motivated enough to go deeper when the first answer doesn’t fully hold up.

You are also someone who can wear different hats. That might mean stepping outside your immediate scope to help unblock a problem, communicating your findings clearly to people with different backgrounds, or collaborating with engineers on questions that sit at the boundary of research and scale-up. We’re a lean team where that kind of range matters.

If you’ve spent your career executing well-defined protocols and prefer it that way, this probably isn’t the right fit. If you’ve thrived when given a problem and the freedom to figure out how to approach it, we’d like to hear from you.

ALC Technologies SG Pte Ltd is looking for an exceptional Quantitative Researcher to join our team. In this role you conduct creative research and impact our trading strategies. You will have the opportunity to work alongside co-founders who are industry experts in the rapidly developing field of cryptocurrencies and digital assets. This is a rare opportunity where your work will directly contribute to the success of new and existing trading strategies. If you also have hands-on experience in software development and agile methodologies, we’d like to meet you.

Key Responsibilities

• Research on core trading strategies: core algorithms, models, execution logic, performance optimization and monitoring
• Implement frameworks for developing, validating and testing trading strategies
• Analyse behavior of trades and avenues for improvement
• Responsible for improving our strategies, the P/L through pricing-based research, into monetization.
• Advance existing initiatives and explore opportunities for new research topics
• Drive technical innovation and improve simulations within the team through the evaluation of new tools and technologies

The Ideal Candidate

• Prior experience in a quantitative role within a trading environment or experience applying advanced quantitative techniques
• Passion for solving complex and data intensive problems
• Capable of delivering on multiple competing priorities with little supervision
• Strong proficiency in programming languages C++ and/or Python
• Bachelors, Masters or PhD in a technical field from top-tier universities such as Physics, Mathematics, Statistics, Engineering, Computer Science or equivalent

Compensation & Benefits

• Competitive salary based on experience
• Participation in company bonus pool
• Daily catered lunch
• Health insurance and wellness benefits
• Unlimited vacation policy

ALC Technologies SG Pte Ltd is looking for an exceptional Quantitative Researcher to join our team. In this role you conduct creative research and impact our trading strategies. You will have the opportunity to work alongside co-founders who are industry experts in the rapidly developing field of cryptocurrencies and digital assets. This is a rare opportunity where your work will directly contribute to the success of new and existing trading strategies. If you also have hands-on experience in software development and agile methodologies, we’d like to meet you.

Key Responsibilities

• Research on core trading strategies: core algorithms, models, execution logic, performance optimization and monitoring
• Implement frameworks for developing, validating and testing trading strategies
• Analyse behavior of trades and avenues for improvement
• Responsible for improving our strategies, the P/L through pricing-based research, into monetization.
• Advance existing initiatives and explore opportunities for new research topics
• Drive technical innovation and improve simulations within the team through the evaluation of new tools and technologies

The Ideal Candidate

• Prior experience in a quantitative role within a trading environment or experience applying advanced quantitative techniques
• Passion for solving complex and data intensive problems
• Capable of delivering on multiple competing priorities with little supervision
• Strong proficiency in programming languages C++ and/or Python
• Bachelors, Masters or PhD in a technical field from top-tier universities such as Physics, Mathematics, Statistics, Engineering, Computer Science or equivalent

Compensation & Benefits

• Competitive salary based on experience
• Participation in company bonus pool
• Daily catered lunch
• Health insurance and wellness benefits
• Unlimited vacation policy

ALC Technologies SG Pte Ltd is looking for an exceptional Quantitative Researcher to join our team. In this role you conduct creative research and impact our trading strategies. You will have the opportunity to work alongside co-founders who are industry experts in the rapidly developing field of cryptocurrencies and digital assets. This is a rare opportunity where your work will directly contribute to the success of new and existing trading strategies. If you also have hands-on experience in software development and agile methodologies, we’d like to meet you.

Key Responsibilities

• Research on core trading strategies: core algorithms, models, execution logic, performance optimization and monitoring
• Implement frameworks for developing, validating and testing trading strategies
• Analyse behavior of trades and avenues for improvement
• Responsible for improving our strategies, the P/L through pricing-based research, into monetization.
• Advance existing initiatives and explore opportunities for new research topics
• Drive technical innovation and improve simulations within the team through the evaluation of new tools and technologies

The Ideal Candidate

• Prior experience in a quantitative role within a trading environment or experience applying advanced quantitative techniques
• Passion for solving complex and data intensive problems
• Capable of delivering on multiple competing priorities with little supervision
• Strong proficiency in programming languages C++ and/or Python
• Bachelors, Masters or PhD in a technical field from top-tier universities such as Physics, Mathematics, Statistics, Engineering, Computer Science or equivalent

Compensation & Benefits

• Competitive salary based on experience
• Participation in company bonus pool
• Daily catered lunch
• Health insurance and wellness benefits
• Unlimited vacation policy

Overview

We are seeking an AI Researcher to join our R&D team to develop practical AI and machine learning solutions for real-world analytical problems. This role focuses on predictive modelling, statistical analysis, LLM-powered AI agents, and intelligent systems operating across structured and unstructured data.

Responsibilities

• Develop and evaluate predictive models including regression, classification, and forecasting models.
• Conduct EDA, statistical experimentation, hypothesis testing, and model validation on large datasets.
• Build and experiment with LLM systems involving RAG, AI agents, fine-tuning, LoRA, and vector databases.
• Develop scalable Python-based AI/ML pipelines and reproducible workflows.
• Work with structured and unstructured datasets, including text, image, audio, and multimodal data.

Requirements

• Proven experience training or fine-tuning machine learning and/or LLM models on datasets with at least 1 million records.
• Hands-on experience with one or more LLM fine-tuning techniques such as LoRA, QLoRA, PEFT, or SFT.
• Strong background in predictive analytics, statistical modelling, and machine learning.
• Experience evaluating model performance using experimentation, metrics, validation frameworks, and failure analysis.
• Experience working with large-scale structured and unstructured datasets.
• Strong Python programming skills with Pandas, NumPy, Scikit-learn, SciPy, Matplotlib, and SQL.
• Experience building reproducible AI/ML pipelines and workflows.
• Good understanding of supervised, unsupervised, and generative AI models.

Preferred

• Experience with RAG, AI agents, LangChain/LangGraph, vector databases, or multimodal AI systems.
• Bachelor's, Master's, or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.

Job Responsibilities
1. Frontier Tech Exploration: Conduct deep optimization of LLM/VLM Agent architectures. Lead research in cutting-edge topics including Multimodal GUI Agents, Web Agents, and Long-term Memory mechanisms.

2. Agent Evolution (RL): Explore the application of Agentic RL in both real-world and simulated environments. Solve critical challenges such as policy drift in multi-turn long-horizon interactions, self-evolving mechanisms (Self-reflection/Discovery), and large-scale exploration efficiency.

3. Foundation Model Breakthroughs: Participate in the iteration of next-generation Agentic Foundation Models (e.g., MAI-UI 2.0). Significantly enhance model success rates in fine-grained UI perception, complex logical reasoning, and long-horizon planning.

4. Business Value Closure: Track SOTA (State-of-the-Art) developments to define and implement high-value scenarios for To-C personal assistants or To-B automation workflows, building AI-native applications with strong technical moats.

Job Qualifications
1. Academic Background: Master's or Ph.D. in Computer Science, AI, Mathematics, or related fields. Solid track record of research or high-level publications in LLM/VLM, Planning & Reasoning, or Reinforcement Learning.

2. Algorithm Depth & Breadth: Familiar with mainstream Large Model architectures (Transformers, MoE). Hands-on experience with Chain-of-Thought (CoT), Agent frameworks (e.g., LangGraph, AutoGPT), Tool-use augmentation, and RL algorithms (PPO, DPO, etc.) is highly preferred.

3. Hardcore Engineering: Strong systems thinking with the ability to handle convergence instability and hallucination suppression in large-scale training. Familiarity with inference acceleration, high-concurrency environment simulation, and Sandbox virtualization for Agent infrastructure.

4. Language & Collaboration: Proficiency in English and Mandarin (Chinese) is required. This role involves daily technical collaboration, code reviews, and architectural discussions with our R&D teams in China.

5. Geek Spirit: Exceptional technical curiosity and self-drive. Proven ability to define ambiguous problems from 0 to 1 and maintain leadership in rapidly evolving industry benchmarks.

6. Minimum 1 year of experience.

Bonus Points:

1. Academic/Community Influence: First-author publications in top-tier conferences (NeurIPS, ICLR, ICML, CVPR, etc.) or lead contributor to renowned open-source projects (GitHub 1k+ Stars).

2. Competition Honors: ACM/ICPC regional gold medals or above, or top rankings in LLM/Agent-related challenges (e.g., GAIA, OSWorld, SWE-bench).

3. System-level Expertise: Experience leading the full-cycle training of models with 3B+ parameters. Deep customization experience with distributed frameworks like Megatron-LM or DeepSpeed.

4. Cross-stack Capabilities: Background in low-level system development, with familiarity in browser engines (Chromium/WebKit), Linux kernel, or containerization.

About the Role

We're hiring an experienced Quantitative Researcher/ Analyst to strengthen our modelling capabilities, with a primary focus on identifying and modelling toxic and abusive trading flows and clients. This is a high-impact role sitting at the intersection of risk, pricing, and platform integrity.

Responsibilities

• Develop, test, and deploy quantitative models to detect, classify, and mitigate toxic and abusive order flow and client behaviour
• Analyze trading patterns to distinguish profitable, benign, and predatory flow across multiple asset classes
• Build and refine models supporting swap rates, funding rates, and pricing
• Collaborate with trading, engineering, and risk teams to operationalize models on-chain
• Monitor model performance and adapt to evolving market conditions and adversarial behaviour
• Translate complex quantitative findings into actionable recommendations for stakeholders

Job Requirements

• At least a Bachelor's degree in a technical discipline (sciences, engineering, mathematics, or similar)
• 5+ years of experience in a quantitative analyst or similar role
  Demonstrated experience modelling toxic and abusive flows and clients
• Strong programming and statistical modelling skills
• Experience building models for swap rates, funding rates, and pricing
• Knowledge and hands-on experience in crypto, RWAs(equities, commodities, fx), and D1s (perpetuals, CFDs)
• Familiarity with trading environments
• Experience partnering with technology teams to build risk analysis databases and develop reporting frameworks to support decision-making.

Role purpose

Our South-east Asia Intelligence & Investigations team works closely with leading multinational corporations, financial institutions, private market investors and law firms to help them understand and manage complex business risks across the region.

We support clients on a wide range of matters, including integrity due diligence, reputational risk assessments, investigations, political and regulatory risk analysis, and strategic market-entry decisions. Our work helps clients make informed decisions, protect their operations and navigate challenging operating environments.

Researchers play a key role in supporting the delivery of high-quality, client-ready intelligence and analytical reports. They contribute to research, analysis and report drafting across a variety of assignments, while also supporting the practice’s business development and thought leadership activities through the preparation of client briefings, sector updates and other research materials.

This role offers an excellent opportunity for candidates with a strong academic and/or professional interest in Vietnam and Southeast Asia to develop a career in business intelligence, strategic advisory and risk consulting. While this is an early-career role, candidates with relevant professional experience will be viewed favourably.

Role tasks and responsibilities

Research, analysis and report writing

• Conduct in-depth research and analysis using public records, media reporting, corporate disclosures, databases and other open-source materials
• Support the production of high-quality, client-ready reports within agreed timelines and budgets
• Analyse complex information and identify key reputational, political, commercial and integrity risks relevant to client objectives
• Contribute to integrity due diligence, business intelligence and investigative assignments across Southeast Asia, with a primary focus on Vietnam
• Work closely with project managers, editors and regional colleagues to ensure analytical consistency and high-quality deliverables
• Support the identification of emerging political, regulatory and business trends relevant to clients operating in the region

Business development and knowledge management

• Conduct research and prepare materials to support client engagements, proposals, briefings and marketing activities
• Contribute to internal knowledge management by maintaining and expanding the practice’s databases and research resources
• Support the preparation of sector briefings, thematic research and thought leadership content
• Attend client meetings, calls and research trips where appropriate

Requirements

Knowledge and experience

•  Excellent command of written and spoken English and Vietnamese
•  Strong research, analytical and report-writing skills
•  Ability to synthesise and communicate complex information clearly and concisely
•  Strong critical thinking and problem-solving capabilities
•  Demonstrated interest in political, economic and business developments in Vietnam and Southeast Asia
•  Good understanding of commercial transactions and corporate structures
•  Strong attention to detail and ability to manage multiple priorities under tight deadlines
•  Ability to work independently as well as collaboratively within a regional team environment
•  Strong professional ethic, intellectual curiosity and willingness to learn

Qualifications and specialist skills

•  At least a Bachelor’s degree in a relevant discipline, such as international relations, political science, economics, business, finance, journalism, communications or other social sciences
•  Relevant internship or professional experience in research, consulting, journalism, risk advisory, investigations or related fields would be advantageous

Job Description

• Industry/ Organization Type: Financial Institution
• Position Title: Quant Researcher
• Working Location: Central
• Working Hours: 5 days (Mon – Fri, 9.00am – 6.00pm)
• Salary Package: Basic salary up to $8,000 + Variable Bonus
• Duration: Permanent Role

Key Responsibilities

• Develop and apply technical strategies using quantitative and machine learning methods to meet business goals
• Work with the CEO and technical team to drive research projects and improve systems
• Provide expert advice on quantitative analysis and algorithm design
• Design and build system architectures that are secure, scalable, and high-performance, using data analysis and modelling
• Manage relationships with technology vendors and service providers
• Carry out research to create trade ideas using quantitative models and macroeconomic analysis
• Assess and improve portfolio risk and performance through quantitative analysis
• Prepare regular market reports and forecasts for management and stakeholders
• Provide detailed portfolio performance reports to management and stakeholders
• Review NAV reports and submit monthly trade files, ensuring they are accurate and compliant
• Lead research, development, and back-testing of quantitative and fundamental strategies
• Work with team members to develop and improve AI tools for market prediction and portfolio optimization
• Help prepare materials for marketing and investor relations, highlighting research and performance results
• Find and apply for government grants and loans to support research activities
• Provide updates on regulatory and tax changes to keep the firm compliant
• Handle other administrative tasks as needed to support team operations

APPLY NOW!!!

• Master’s degree in a quantitative field such as Mathematics, Statistics, Economics, Quantitative Finance, or similar
• At least 3 years of experience in financial quantitative research roles
• Strong programming skills in Python, C++, Java, MySQL, Matlab, R, and Latex
• Hands-on experience with machine learning tools like TensorFlow and PyTorch
• Experience developing NLP models for financial use

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #77900 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Rachael Lee | EA Reg No.: R2093131

Company Overview

PEACEBIRD Fund Management is a specialist investment firm focused on high-performance swing trading. We are seeking a Quant-Hybrid Analyst to join our team. Unlike traditional quant roles that focus solely on "black box" models, you will work directly with the Portfolio Manager to refine and optimize a market-beating strategy rooted in trend following and asymmetric risk. You will be responsible for bridging the gap between historical data analysis and live market execution.

Core Responsibilities

• Factor Engineering: Research and develop momentum, technical, and fundamental factors using S&P Capital IQ and Python/Excel. Focus on "Synthetic RS" and acceleration metrics.
• System Optimization: Perform "Walk-Forward Analysis" on core setups to identify non-linear relationships and reduce "noise" in entry signals.
• Performance Auditing: Maintain a rigorous "Market Diary" of all trades; calculate MAE (Maximum Adverse Excursion) and MFE (Maximum Favorable Excursion) to refine stop-loss placement and profit-taking logic.
• Risk Modeling: Develop and maintain volatility-adjusted position sizing models (ATR-based) to maintain a "Thin Risk" profile (Risk of Ruin < 0.5% per trade).
• Trade Execution: Execute trades in HK and US equity markets, ensuring minimal slippage and adherence to systematic entry triggers.
• Market Intelligence: Monitor global news, earnings catalysts, and regulatory shifts to identify potential industry group rotations.

Qualifications & Skills

• Domain Expertise: Deep familiarity with professional swing trading methodologies (e.g., VCP, CANSLIM, and Institutional Momentum).
• Technical Stack: Expert-level Excel (Nested logic, Lambda, Array formulas). Proficiency in Python (Pandas, Scikit-learn) or SQL is highly preferred for data manipulation.
• Quant Literacy: Absolute proficiency in calculating Expectancy, Profit Factor, and Sharpe/Sortino ratios without assistance.
• Education & Experience: Bachelor’s degree in a quantitative field (Finance, Math, CS). CFA/FRM is a plus. 1–3 years of active trading or research experience specifically in HK and US Markets.
• Communication: Fluent in Mandarin and English to effectively communicate with stakeholders and analyze regional market data.

The Ideal Candidate

You are a "Trader-Scientist." You understand that a backtest is only as good as its underlying logic. You possess the discipline to follow a system but the curiosity to use machine learning to find the "hidden edges" that others miss.

Brief Summary:
Join an innovative team focused on enhancing the construction industry through cutting-edge technologies. This role is ideal for individuals eager to lead projects that integrate advanced systems and digitalization.

Responsibilities:

• Plan and manage research and development projects aimed at digitalizing construction systems.
• Collect, classify, and analyze data pertinent to project objectives.
• Prepare and conduct experiments both in laboratory settings and real project sites.
• Oversee project team operations for efficient development execution.
• Create comprehensive documents, reports, and grant applications.
• Organize and facilitate project meetings to ensure effective communication.
• Identify and research advanced technologies that enhance construction processes.
• Support site teams in the implementation of innovative technologies on the ground.

Requirements:

• Relevant degree in engineering, architecture, or a related field.
• Proven experience in managing multiple projects focused on integrated development delivery (IDD).
• Proficiency in BIM software and additional construction-related technologies.
• Basic understanding of the construction process and methodologies.
• Experience in software development or training related to BIM is advantageous.
• Fundamental knowledge of Quantity Surveying is preferred.

Interested candidates who wish to apply for the advertised position, please click on “Apply”. We regret that only shortlisted candidates will be notified. 
 
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