Total 83 researcher job vacancies in Malaysia

Our Quantitative Researchers apply tools from a variety of disciplines including statistics, control theory, machine learning, optimization, and signal processing to develop algorithmic trading strategies.  Our research team collaborates on idea generation and strategy development, while encouraging independent exploration and original approaches.  Researchers have access to clean data integrated with a high performance-computing grid and the support of dedicated software developers. 

What you’ll do in this role

• Create and refine high-quality predictive signals using statistics, machine learning, and signal processing techniques.
• Identify and mathematically characterize inefficiencies in financial markets.
• Apply NLP and other cutting-edge methods to uncover alpha in non-traditional datasets.
• Utilize advanced optimization techniques to design and construct optimal portfolios.
• Design and implement automated trading agents to achieve superior execution performance.
• Formulate research problems, conduct rigorous analysis, and transition ideas into fully functional trading systems.

Requirements

• 2+ years of professional experience in equity/futures statistical arbitrage or systematic trading research.
• Advanced degree in a quantitative field with a focus on statistics, mathematics, machine learning, signal processing or optimizations
• Experience in handling large datasets using languages such as Python or C++
• Significant hands-on experience with formulating a research problem, conducting the research and developing a working system
• Proven track record in delivering successful systematic strategies is plus
• Self-starter with strong proactivity, sets ambitious goals, willingness to drive and own projects, and proactively identifies opportunities for impact
• Excellent verbal and written communication skills
• Meticulous attention to details and accuracy in work

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

1. Lead Generation & Prospect Research

• Identify and research potential clients, customers, and business opportunities across targeted industries and markets.
• Develop and maintain a pipeline of qualified leads.
• Utilize various research platforms, databases, social media channels, industry directories, and online resources to identify prospects.
• Verify and validate lead information including company details, decision-makers, contact information, and business requirements.
• Segment prospects according to industry, geography, company size, revenue, and business potential.
• Conduct account profiling and develop target account lists.

2. Market Intelligence & Competitive Analysis

• Monitor market developments, industry trends, competitor activities, and emerging business opportunities.
• Gather intelligence on competitor products, pricing strategies, market positioning, customer acquisition activities, and business developments.
• Prepare competitor benchmarking reports and market landscape assessments.

3. Business Opportunity Development (exclude)

• Research upcoming tenders, contracts, projects, and procurement opportunities.
• Track market expansion opportunities and new business sectors.

4. Data Analysis & Reporting

• Collect, analyze, and interpret market and customer data

Requirements:

• Bachelor's Degree in Marketing, Business Administration, Economics, Market Research, Statistics, Data Analytics, or a related field.
• Minimum 0-3 years of experience in market research, lead generation, business intelligence, sales support, or business development.
• Proficiency in CRM platforms and lead generation tools.
• Experience in conducting market analysis and competitive intelligence research.
• B2B industry experience is preferred.
• Strong analytical skills with experience in data analysis and reporting tools.
• Proficient in internet and database research, as well as Microsoft Office applications.
• Fresh graduates are welcome to apply.

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.

Key Responsibilities:

1. Si-based 3D DRAM:

1) Novel Metals & Interconnect Strategy:

• Lead the research and integration of advanced low-resistivity conductive materials for sub-10nm metal line and interconnect applications.
• Focus on materials screening, physical property optimization (e.g. thermal stability and work function engineering), process optimization, and HVM readiness evaluation and preparation.

2) Advanced Junction Formation:

• Define the process for ultra-scaled junction formation.
• Develop low-thermal-budget process and technology to achieve precise doping profiles and activation, ensuring optimal device performance in HAR 3D structures.
• Develop novel characterization technologies for precise junction profile measurements in complex 3D structures.

3) 3D Architecture & Silicide Integration:

• Overcome challenges in high aspect ratio structures.
• Develop robust n-type silicide processes for complex 3D geometries, ensuring low contact/barrier resistance, high step coverage, high thermal stability, and future scalability in deep trench/via applications.

2. DRAM with novel channel oxide materials:

• Development of novel DRAM array memory architecture.
• Research and development of novel DRAM transistor channel materials.
• Novel device design and performance optimization.
• Research and development of key processes and process integration technologies.
• Development of TEG design, peripheral circuit design, and structural/electrical testing solutions.
• Materials, process, and device simulation.

Required Qualifications:

1. Education: Master's degree or above (PhD preferred).
2. Major: Physics, material science & engineering, chemistry.
3. Other Requirements:

• 8+ years of DRAM memory development experience, including at least 5 years as architecture or key technology lead.
• Familiar with TLC/QLC/PLC multi-bit memory mechanisms and their challenges to read/write algorithms, ECC, and wear leveling.
• Excellent systems thinking and cross-domain integration capabilities, able to efficiently coordinate circuit, device, firmware, verification, testing, and product teams.
• Excellent technical documentation writing and technical decision-making communication skills.
• In-depth understanding of the ECC architecture (BCH/LDPC) and DRAM controller collaboration mechanism is preferred.
• Familiarity with the impact of reliability modeling under advanced processes (such as TDDB, HCI, RTN) on the architecture.
• Publication of DRAM-related papers at international conferences (such as ISSCC, VLSI, IMW) is a plus.

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

Job Description:

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

Skills / Qualifications:

• Possess a PhD degree in computer science, statistics, applied mathematics, or have equivalent research experiences
• Demonstrate the ability to generate new ideas.
• 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.

Interested candidate please click "APPLY" to begin your job search journey.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy. 

PERSOL Singapore Pte Ltd

• RCB No. 200007268E • EA License No. 01C4394

• Registration ID: Heah Sian Wei R23117518

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

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

Summary

The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing. The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop innovative generative AI technologies based on Large Language Model to power innovative features in both Apple’s devices and services on the cloud.

As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from different sources to provide the user with results that best satisfies their intent and information seeking needs.

You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple’s AI powered products, also conduct applied research to transfer the groundbreaking research in generative AI to production ready technologies.

Description

As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, NLP experience and solid engineering skills in creating outstanding search and NLP services. This role will have the following responsibilities:

• Analyzing search ranking and relevance requirements, issues and opportunities
• Developing, fine-tuning, and evaluating domain specific Large Language Models for various tasks and applications in Apple’s AI powered products
• Conducting applied research to transfer the pioneering research in generative AI to production ready technologies
• Understanding product requirements, translate them into modeling tasks and engineering tasks
• Building machine learned models for search relevance, ranking and query understanding problems
• Integrating search functions into Apple products, such as Siri, Spotlight, Safari, Messages, Lookup, etc.
• Building end-to-end production system including query understanding and ranking to power search
• Applying Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing

Minimum Qualifications

• PhD, MS or equivalent experience
• Experience in machine learning, deep learning, information retrieval, natural language processing or data mining
• Experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs.
• Proficiency in one of following languages: Python, Go, Java, C++

Preferred Qualifications

• Excellent data analytical skills
• Good interpersonal skills and team player
• PhD preferred

Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Summary

The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing. The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop innovative generative AI technologies based on Large Language Model to power innovative features in both Apple’s devices and services on the cloud.

As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from different sources to provide the user with results that best satisfies their intent and information seeking needs.

You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple’s AI powered products, also conduct applied research to transfer the groundbreaking research in generative AI to production ready technologies.

Description

As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, NLP experience and solid engineering skills in creating outstanding search and NLP services. This role will have the following responsibilities:

• Analyzing search ranking and relevance requirements, issues and opportunities
• Developing, fine-tuning, and evaluating domain specific Large Language Models for various tasks and applications in Apple’s AI powered products
• Conducting applied research to transfer the pioneering research in generative AI to production ready technologies
• Understanding product requirements, translate them into modeling tasks and engineering tasks
• Building machine learned models for search relevance, ranking and query understanding problems
• Integrating search functions into Apple products, such as Siri, Spotlight, Safari, Messages, Lookup, etc.
• Building end-to-end production system including query understanding and ranking to power search
• Applying Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing

Minimum Qualifications

• PhD, MS or equivalent experience
• Experience in machine learning, deep learning, information retrieval, natural language processing or data mining
• Experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs.
• Proficiency in one of following languages: Python, Go, Java, C++

Preferred Qualifications

• Excellent data analytical skills
• Good interpersonal skills and team player
• PhD preferred

Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Bright Point Capital Pte Ltd is a registered fund management company in Singapore regulated by the Monetary Authority of Singapore (MAS). We are currently looking to expand our research and investment capabilities for one of our funds.

Responsibilities

• Conduct research and statistical analysis of trade data
• Assist in managing database
• Assist in monitoring and running existing algorithms to trade across multiple asset classes
• Review and improve on existing trading models

Requirements

• PhD preferred, or exceptional MSc/BSc, in mathematics, statistics, physics, computer science, electrical engineering, operations research, machine learning, or a related quantitative discipline.
• Strong foundation in probability, statistics, optimization, linear algebra, machine learning, and time-series or stochastic modelling.
• Strong programming ability

About Us

Bright Point Capital Pte Ltd is a registered fund management company in Singapore regulated by the Monetary Authority of Singapore (MAS). We are currently looking to expand our research and investment capabilities for one of our funds.

The investment mandate focuses on trading financial instruments across different asset classes and global exchanges. We are looking for a strong quantitative researcher to support systematic strategy research, model validation, and data-driven decision making.

ROLE DESCRIPTION

• Work closely with experienced traders and developers to research, test, and validate systematic trading models
• Apply mathematics, statistics, machine learning, and scientific research methods to large-scale financial market data
• Support the trading team with rigorous research evidence; trading direction, strategy prioritization, and live deployment decisions will remain led by the trading team
• Prior finance or trading experience is not required

RESPONSIBILITIES

• Translate market observations and trading ideas into testable research hypotheses.
• Research statistical and machine learning methods for forecasting, classification, signal generation, and pattern detection in noisy sequential data.
• Evaluate modern ML approaches, including deep learning, sequence models, and attention-based models, while benchmarking against simpler statistical baselines.
• Build reusable research tools for data cleaning, feature generation, model comparison, experiment tracking, and result analysis.
• Communicate research results clearly, including assumptions, limitations, risks, negative findings, and reasons a model may fail in live use.

REQUIREMENTS

• PhD preferred, or exceptional MSc/BSc, in mathematics, statistics, physics, computer science, electrical engineering, operations research, machine learning, or a related quantitative discipline.
• Strong foundation in probability, statistics, optimization, linear algebra, machine learning, and time-series or stochastic modelling.
• Strong programming ability in Python and experience with scientific computing or machine learning libraries such as NumPy, pandas, scikit-learn, PyTorch, JAX, TensorFlow, or similar tools.
• Experience working with noisy real-world data, large datasets, simulations, or empirical research problems.
• Strong problem-solving ability, intellectual honesty, attention to detail, and willingness to challenge model results rather than accept them at face value.

WHAT TO EXPECT

• You will learn the financial market context from experienced traders while contributing your scientific and technical expertise.
• We encourage rigorous thinking, reproducible research, and honest communication of both positive and negative results.
• The work involves open-ended research problems where clear thinking, persistence, and careful validation matter more than using complex models for their own sake.

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.

Tower Research Capital seeks a Quantitative Researcher to join one of our trading teams in Singapore. As a Quantitative Researcher, you will be using in-house trading system—one of the fastest and most comprehensive in the world—to develop and deploy algorithmic trading strategies based on patterns in market behavior.

Responsibilities

• Designing, implementing, and deploying high-frequency trading algorithms
• Exploring trading ideas by analyzing market data and market micro-structure for patterns
• Creating tools to analyze data for patterns
• Contributing to libraries of analytical computations to support market data analysis and trading
• Developing, augmenting, and calibrating exchange simulators

Qualifications

• At least a Bachelors Degree in computing, statistics, mathematics or a related field from a top-tier university
• Prior internship experience in financial trading would be advantageous
• Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis)
• Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data
• Good experience with signal generation and statistical models
• Strong programming skills in C++ and Python

• 6-month contract
• Government project
• Hybrid work arrangement

Role Overview

We are looking for an experienced UX Researcher to execute evaluative research across a portfolio of government digital services. The role focuses on assessing the usability, usefulness, accessibility, and overall user experience of existing products through structured research studies, usability testing, and mystery shopper evaluations.

The researcher will plan and conduct studies in both laboratory and field settings, recruit representative participants, design research protocols, analyse quantitative and qualitative data, and generate evidence-based recommendations to improve public digital services. Findings must be objective, statistically sound where appropriate, and clearly communicated to product, design, engineering, and policy stakeholders.

Key Responsibilities

• Design and conduct usability evaluations, mystery shopper studies, benchmarking exercises, and service assessments across government digital products.
• Select and apply appropriate research methodologies, including moderated and unmoderated usability testing, surveys, interviews, contextual inquiry, diary studies, and observational research.
• Apply validated measurement frameworks and instruments such as SUS, UEQ, SEQ, CSAT, NPS, accessibility assessments, and task success metrics.
• Analyse quantitative and qualitative data, triangulate findings across multiple sources, and identify meaningful patterns without introducing researcher bias.
• Produce actionable reports, highlight evidence-based recommendations, and communicate findings to senior stakeholders.
• Establish repeatable evaluation frameworks and benchmarks to track service quality over time.
• Collaborate closely with designers, product managers, engineers, accessibility specialists, and service owners.

Preferred Qualifications

• Degree or postgraduate qualification in Human-Computer Interaction (HCI), Human Factors, Cognitive Psychology, Experimental Psychology, Behavioural Science, Ergonomics, Information Science, Sociology, Anthropology, or a related field.
• Formal training in research design, statistics, survey methodology, experimental methods, or behavioural research.
• Experience applying both qualitative and quantitative research methods in professional settings.
• Strong understanding of validity, reliability, sampling approaches, bias mitigation, and evidence-based evaluation.

Required Experience

• 5+ years of experience conducting UX research, usability evaluations, human factors research, or service evaluations.
• Demonstrated experience planning and facilitating usability testing with diverse participant groups.
• Experience using standard UX metrics and scales, including understanding when and how to apply instruments such as SUS, UEQ, SEQ, CSAT, and task-based performance measures.
• Ability to conduct rigorous qualitative analysis, thematic analysis, coding, and synthesis of research findings.
• Ability to perform quantitative analysis, interpret statistical results, and explain findings clearly to non-research audiences.
• Experience producing objective, defensible findings and recommendations that influence product and service decisions.