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Quantitative Developer

  • Singapore
  • Negotiable
  • Permanent
  • Discipline:
  • Ref: 51059
Vishnu Siva
This company is a private fund management company with a strong founding team with long-accumulated experience in strategy modelling, trading system and platform development. Using advanced artificial intelligence technology as the cornerstone, and enforcing strict investment management, the company's investment fund has gained sustained and stable returns.
You will be joining their technology arm, with AL/ML as its cornerstone, and is committed to providing users with high-quality and stable trading services. The company now has a number of experienced quantitative researchers, world-class deep learning scientists and engineers from leading internet companies and top universities. The company has also provided various kinds of trading solutions for a number of leading brokerage firms and organizations. The company's vision is to integrate artificial intelligence technology with quantitative investment scenarios, relying on strong artificial intelligence R&D capabilities and advanced trading strategy models, to provide users with comprehensive and stable investment service.
Roles & Responsibilities:
•
Ingest, clean, and maintain global equity market data from vendors such as Bloomberg, Refinitiv, FactSet, and exchanges.
•
Standardize datasets for use in quantitative research, factor models, and portfolio construction.
•
Track and process corporate actions (ticker changes, mergers, spin-offs, delistings, ADR vs. local shares).
•
Maintain symbol and identifier mappings across exchanges, time zones, and trading systems.
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Work closely with PMs, quants, and trading teams to deliver reliable research and trading data.
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Map prime broker and OMS/EMS tickers for execution and post-trade reconciliation.
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Monitor data quality and resolve breaks, errors, and anomalies.
Qualifications:
•
Degree in Computer Science, Engineering, or a related field.
•
Experience with global equity markets (US, Europe, APAC).
•
Strong Python (Pandas, NumPy) and SQL skills.
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Familiarity with financial data vendors and equity reference/pricing data.
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Understanding of security identifiers (ISIN, CUSIP, SEDOL, RIC, Bloomberg ticker).
•
Experience in a hedge fund, prop trading firm, or asset manager is preferred.
•
Exposure to tick or intraday data and buy-side OMS/EMS systems is a plus.

Apply for this job

We are an inclusive organisation and actively promote equality of opportunity for all with the right mix of talent, skills, and potential. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone.

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Quant Research Associate

  • Hong Kong
  • Negotiable
  • Permanent
We are looking for a Quant Research Associate to join our research team and work on quantitative strategies for crypto and DeFi markets.
You will work directly with researchers and founders on problems involving:
•
Market making
•
Delta-neutral strategies
•
Reinforcement learning
•
Portfolio allocation
•
Backtesting infrastructure
•
Market microstructure research
Responsibilities
•
Conduct quantitative research on crypto and DeFi markets
•
Analyze market data and identify alpha opportunities
•
Develop and evaluate trading strategies
•
Build and improve backtesting frameworks
•
Research applications of machine learning and reinforcement learning in trading
•
Design experiments and evaluate strategy performance
•
Collaborate with the team on production research initiatives
Requirements
•
PhD in Mathematics, Statistics, Computer Science, Physics, Financial Engineering, Quantitative Finance, or a related field
•
Strong mathematical and statistical background
•
Proficiency in Python
•
Experience with machine learning frameworks such as PyTorch or Scikit-Learn
•
Familiarity with quantitative research methodologies
•
Ability to work independently in a research-driven environment
•
Good written and spoken English
Preferred Qualifications
•
Previous internship experience at a quantitative trading firm, hedge fund, market maker, or research lab
•
Experience with reinforcement learning
•
Knowledge of financial markets or market microstructure
•
Experience working with order book or trade-level data
•
Interest in digital assets, crypto markets, or DeFi
What We Offer
•
Direct exposure to real-world quantitative research
•
Opportunity to work on live strategies and production research
•
Remote-first environment
Apply Now

Senior Quantitative Researcher

  • Singapore
  • Negotiable
  • Permanent
The company is a private fund management company with a strong founding team with long-accumulated experience in strategy modelling, trading system and platform development. Using advanced artificial intelligence technology as the cornerstone, and enforcing strict investment management, the company's investment fund has gained sustained and stable returns.
You will be joining their technology arm, with AL/ML as its cornerstone, and is committed to providing users with high-quality and stable trading services. The company now has a number of experienced quantitative researchers, world-class deep learning scientists and engineers from leading internet companies and top universities. The company has also provided various kinds of trading solutions for a number of leading brokerage firms and organizations. The company's vision is to integrate artificial intelligence technology with quantitative investment scenarios, relying on strong artificial intelligence R&D capabilities and advanced trading strategy models, to provide users with comprehensive and stable investment service.
We welcome all applications from Junior to Senior levels, with proven quantitative reserach experiences and solid technical skills.
We also welcome students to start as internship role, for those have strong foundation and related research/academic experience in data analysis, modelling, programing.
Roles & Responsibilities:
· Research and develop international market, secondary market trading and investment strategies
· Leverage programming and analytical tools to drive quantitative strategies through a data-driven approach with continuous iteration
· Extracting patterns from market microstructure, trading, fundamentals, events and other multivariate data to build diversified quantitative strategy models
Qualifications
· Bachelor's degree or above in finance, mathematics, computer science, engineering or related field
· Familiar with Python / C++ or other high-level programing languages
· Strong communication skills and learning ability.
· 3 years+ Experience in financial market quantitative research in hedge fund or similar.
Plus Points:
· Experienced in using big data to predict and test statistical market models
· Experienced in AI / ML research for quantitative analysis
· Experienced in competitions such as Kaggle, ILSVRC, and other internationally recognised competitions including IMO, IOI, IPhO, etc.
Apply Now

Quantitative Researcher / Developer

  • Hong Kong
  • Negotiable
  • Permanent
This company is a private fund management company with a strong founding team with long-accumulated experience in strategy modelling, trading system and platform development. Using advanced artificial intelligence technology as the cornerstone, and enforcing strict investment management, the company's investment fund has gained sustained and stable returns.
You will be joining their technology arm, with AL/ML as its cornerstone, and is committed to providing users with high-quality and stable trading services. The company now has a number of experienced quantitative researchers, world-class deep learning scientists and engineers from leading internet companies and top universities.
The company has also provided various kinds of trading solutions for a number of leading brokerage firms and organizations. The company's vision is to integrate artificial intelligence technology with quantitative investment scenarios, relying on strong artificial intelligence R&D capabilities and advanced trading strategy models, to provide users with comprehensive and stable investment service.
Roles & Responsibilities:
•
Research and develop systematic trading strategies across global markets
•
Extract signals from market, microstructure, fundamental, and alternative datasets to build quantitative models
•
Design and implement robust backtesting and research pipelines
•
Build and maintain data infrastructure, including:
•
Data ingestion, cleaning, normalization, and standardization
•
Security master and identifier mapping (ISIN, CUSIP, SEDOL, RIC, Bloomberg)
•
Integrate data with OMS/EMS and prime broker systems for trading and reconciliation
•
Monitor and improve data quality and model performance, resolving anomalies and ensuring reliability
•
Collaborate closely with PMs, quants, and traders to translate research into production
Qualifications:
•
Degree in Computer Science, Mathematics, Engineering, Finance or a related field.
•
Experience in quant research, data engineering, or systematic trading in a hedge fund / asset manager / prop firm.
•
Strong programming skills using Python / C++ or others.
•
Familiarity with global equity markets and financial data
•
Strong problem-solving ability, attention to detail, and learning agility
Apply Now

Ai Engineer

  • Singapore
  • Negotiable
  • Permanent
Thius company is a private fund management company with a strong founding team with long-accumulated experience in strategy modelling, trading system and platform development. Using advanced artificial intelligence technology as the cornerstone, and enforcing strict investment management, the company's investment fund has gained sustained and stable returns.
Join our AI Agent Team, where we are passionate about AI agents and use tools like Claude Code, Codex, and Cursor in our daily AI development. We believe AI agents are the future of the working space.
You will help develop AI agent systems that assist with:
•
Financial data analysis
•
Research automation
•
Workflow optimization across our trading infrastructure
You will be assigned to tasks aligned with your interest in quantitative finance and AI, collaborating with world-class portfolio managers, quantitative researchers, and developers across teams. This is an opportunity to gain real-world experience applying AI agents in a fast-paced quantitative finance environment.
You don’t need a traditional finance background to succeed. Many of our team members joined without prior industry experience. What matters most is intellectual curiosity, structured thinking, and the ability to learn quickly.
We are looking for individuals who:
•
Think rigorously, analytically, and creatively using AI-based workflows
•
Enjoy tackling complex challenges collaboratively
•
Take ownership of their work and communicate clearly
•
Are open to feedback, willing to acknowledge mistakes, and motivated to improve
•
Have a genuine interest in how AI agents and intelligent systems can be applied to real-world quantitative finance
Key Responsibilities:
•
Build and maintain AI agents for financial data analysis, research automation, and workflow optimization.
•
Explore AI-driven workflows and agent-based systems in quantitative finance. Experiment with multi-agent architectures, RAG pipelines, and skill development frameworks.
•
Apply emerging AI technologies to enhance trading infrastructure and research processes.
•
Collaborate with quantitative researchers and data scientists to integrate multi-scenario financial AI models into research and trading platforms
Required Qualifications:
•
Degree in Computer Science, Engineering, Machine Learning, Artificial Intelligence or related field.
•
Strong proficiency in Python programming and familiarity with various AI libraries
•
Experience with RAG, multi-agent frameworks, or workflow orchestration systems.
•
Hands-on experience in using AI-assisted development tools such as Claude Code, Codex, Cursor etc will be preferred.
•
Financial background is not required
Apply Now

Data Engineer

  • Singapore
  • Negotiable
  • Permanent
You will be joining an hedge fund technology arm, with AL/ML as its cornerstone, and is committed to providing users with high-quality and stable trading services. The company now has a number of experienced quantitative researchers, world-class deep learning scientists and engineers from leading internet companies and top universities. The company has also provided various kinds of trading solutions for a number of leading brokerage firms and organizations. The company's vision is to integrate artificial intelligence technology with quantitative investment scenarios, relying on strong artificial intelligence R&D capabilities and advanced trading strategy models, to provide users with comprehensive and stable investment service.
As a Data Engineer on the Long/Short Equities team, you will be responsible for ingesting, cleaning, and aligning data from various global vendors and prime brokers. Your role will be central to ensuring our signals, backtests, and live trading systems operate on high-quality and accurate data across the full lifecycle of a security.
Roles & Responsibilities:
•
Ingest, standardize, and maintain global equity datasets from multiple third-party vendors (e.g., Bloomberg, Refinitiv, FactSet, S&P Global, Exegy, etc.).
•
Structure and align data to support quantitative research, factor modeling, and portfolio construction.
•
Develop systems to track and handle complex corporate actions including ticker changes, delistings, mergers, spin-offs, dual listings, ADR/local shares.
•
Collaborate closely with PMs, quantitative researchers, and trading infrastructure engineers to define and fulfill data requirements.
•
Understand prime brokers’ internal ticker conventions and develop robust mappings across trading venues, custodians, and OMS/EMS systems.
•
Ensure data quality through rigorous validation, monitoring pipelines, and anomaly detection.
•
Help maintain symbol mapping libraries across time zones, exchanges, and asset classes.
Qualifications:
•
Bachelor's degree or above in Computer Science, Engineering or related field.
•
Deep familiarity with global equity markets, including North America, Europe, and Asia-Pacific exchanges.
•
Proficient in Python (Pandas, NumPy), SQL, and data pipeline orchestration tools (e.g., Airflow, Luigi).
•
Knowledge of major data vendors and experience working with financial reference and pricing data.
•
Strong understanding of market microstructure and security identifiers (e.g., ISIN, CUSIP, SEDOL, RIC, Bloomberg Ticker).
•
Ability to navigate prime brokerage data and internal ticker mapping for order execution and post-trade reconciliation.
•
Experience in a data engineering or quantitative data operations role at a hedge fund, proprietary trading firm, or asset manager.
•
Prior experience working with tick- or bar-level data, especially for intraday equity strategies.
•
Familiarity with buy-side OMS/EMS systems and order flow handling.
Apply Now

VP of Research, Machine Learning

  • Singapore
  • Negotiable
  • Permanent
What You'll Do
•
Set and evolve the research direction for A1’s core intelligence, including context representation, memory, reasoning, planning, and orchestration.
•
Decide when to design new model architectures versus adapting or leveraging frontier open-source or commercial models.
•
Define evaluation frameworks that measure real-world usefulness, robustness, safety, and long-term behavior – not benchmark vanity.
•
Own alignment, safety, and guardrail strategy as first-class product concerns.
•
Guide exploration of frontier techniques such as:
o
retrieval-augmented training
o
mixture-of-experts
o
distillation
o
multi-agent orchestration
o
multimodal systems
•
Shape early product intelligence direction in close partnership with product and application engineering.
•
Set the technical bar for research rigor, judgment, and taste across the organization.
Requirements
•
Deep experience building or evolving real machine learning systems used in production.
•
Strong technical judgment around model behavior, failure modes, and long-horizon trade-offs.
•
A builder’s mindset: you care about systems that work in the real world, not just ideas.
•
Comfortable making irreversible or high-impact decisions with incomplete information.
•
Obsession with evaluation, correctness, and how systems behave over time.
•
High ownership mentality — you operate as a founder, not a manager.
If you are looking to focus primarily on publishing, incremental benchmarks, or managing a large research organization, this role will not be a fit.
Tech Stack
•
Python
•
PyTorch / JAX
•
GPU-based training and inference system
Apply Now

AI Product Manager

  • Singapore
  • Negotiable
  • Permanent
Role: AI Product Manager
You will work at the intersection of AI agents, automation, and real business challenges. You will partner closely with engineers, data scientists, and business stakeholders to own, shape and deliver impactful AI products. These projects span both internal and external products, including AI-powered operational tools, AI-driven agents and game localization platforms, supporting real-time interactions and global users at scale. This is a hands-on role. You are expected to write code, prototype your own ideas, and work directly with users to debug issues in real time. Job Description
•
Own AI products end to end, from discovery and scoping to prototyping, shipping, measuring, and iterating in production.
•
Identify high-impact opportunities across player-facing systems, operational workflows, and internal tools, and decide what is worth building.
•
Determine the right technical approach for each problem, whether rules, classical ML, LLMs, agents, or hybrid solutions, and discuss tradeoffs with engineers across prompting, RAG, fine-tuning, model selection, tool calling, latency, and cost.
•
Design AI-native experiences such as chat, copilots, human-in-the-loop flows, fallbacks, and feedback loops, and define the evaluations that determine whether they work.
•
Prototype in code using tools such as Claude Code or Codex, building working demos before writing specifications so that engineering discussions begin with something tangible.
•
Manage stakeholders across leadership, engineering, and end users to align priorities and drive adoption.
•
Work directly with users, observe how they interact with shipped products, debug issues on the spot, and translate learnings into the next iteration.
Job Requirements
•
At least 2 years of full-time experience in product management, startup, or founder-like roles, with a track record of taking products from 0 to 1.
•
Builder mindset, with a preference for shipping a rough prototype quickly over delivering a polished specification later, and the willingness to use code, no-code, or AI tools to do it yourself.
•
Experience implementing LLM products or enterprise AI applications, with leading product directions through Chat, Copilot, RAG, AI Agents, automated workflows, internal operations tools, or enterprise productivity platforms, covering all processes from PoC to launch or scaled rollout.
•
Comfort with the uncertainty of AI systems and the instinct to engineer toward reliability through evaluations, fallbacks, and human-in-the-loop design.
•
Strong product sense for turning ambiguity and complexity into simple, trustworthy product experiences.
•
Open-minded, agile, and proactive mindset with a strong willingness to learn.
•
Strong sense of responsibility and accountability in delivering quality work on time.
Apply Now

AI Product Engineer

  • Singapore
  • Negotiable
  • Permanent
You will work at the intersection of AI agents, automation, and real business challenges. You will partner closely with product managers, data scientists, and business stakeholders to own, shape and deliver impactful AI products. These projects span both internal and external products, including AI-powered operational tools, AI-driven agents and game localization platforms, supporting real-time interactions and global users at scale.

Job Description
•Build AI products end to end alongside an AI Product Manager, from discovery and prototyping to shipping, measuring, and iterating.
•Own the full backend of an AI product, including model orchestration, retrieval layers, APIs, data flow, storage systems, and middleware.
•Set technical direction for the systems you own, make architecture decisions, and uphold high standards for code quality and review.
•Strengthen the foundations that make AI products reliable, including evaluations, guardrails, fallbacks, human-in-the-loop workflows, and clear error handling when models fail.
•Operate the products you build end to end, taking ownership of monitoring, incident response, and quality investigations.
•Select the right techniques and tools for each problem, including prompting, RAG, fine-tuning, agents, and classical ML.

Job Requirements
•At least 3 years of full-time engineering experience, with a track record of 0-to-1 and end-to-end product ownership.
•Strong backend foundation in system design, distributed systems, databases, caching, and message queues.
•Comfortable working across the stack, including APIs, infrastructure, frontend, and product metrics.
•Fluent in LLM product patterns such as chat, copilots, RAG, agentic AI-harness, with sound judgment and proven experience making technical decisions on prompt vs. fine-tune, retrieval vs. long context, and automation vs. human review.
•Proficient in reading and modifying code across common backend languages.
•Strong cross-functional collaboration skills to work effectively with product, data science, business, operations, and end-user teams.
•Open-minded, agile, and proactive mindset with a strong willingness to learn.
•Strong sense of responsibility and accountability in delivering quality work on time.
Apply Now

Rates Options & Exotics Desk Quantitative Analyst

  • Singapore
  • Negotiable
  • Permanent

Job Description

Purpose of the role

To provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain, applying quantitative analysis, mathematical modelling, and technology to optimise trading and investment opportunities. 

Accountabilities

  • Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and risk management across various financial products and markets.
  • Working closely with sales teams to identify clients' needs and develop customised solutions.
  • In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics.
  • Provide front office infrastructure support though ownership and maintenance of analytical libraries.
  • Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment.

Vice President Expectations

  • To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..
  • If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
  • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others..
  • OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
  • Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
  • Manage and mitigate risks through assessment, in support of the control and governance agenda.
  • Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
  • Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
  • Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
  • Adopt and include the outcomes of extensive research in problem solving processes.
  • Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

Join us as key member of the QA team to develop pricing and risk management models and analytics for the Rates Options & Exotics business and provide quantitative analysis and advice regarding the usage of our models. Work with IT on rolling out our pricing and risk management models into strategic platforms. Develop tooling for structurers/traders to perform data analysis, back testing, relative value, and index strategy analysis. Support business (Trading desk and their control functions) in their daily activities and processes, develop the mathematical and financial foundation for new models and methodologies in C++ and Python in Quantitative Analytics Libraries. You will also develop tests, estimation and calibration procedures for the models and methodologies and write documentation for the models and methodologies including the estimation and calibration procedures. You will require good written and verbal communication coupled with the ability to adapt to change, work in a fast-paced environment, work independently and collaboratively within a team.

 

Essential Skills/Basic Qualifications:

  • Master’s degree or higher in Mathematics, Statistics, Engineering, Quantitative Finance, or another quantitative field
  • 6+ years of experience in a top-tier global financial services firm with relevant experience in options and exotics modelling in a front office context.
  • Have covered one or more of these areas: IR Exotics / Credit-IR Hybrids / FX-IR Hybrids / Equity-IR Hybrids
  • 3+ years In-depth C/C++ knowledge
  • 3+ years In-depth Python knowledge
  • Experience developing in a large, shared pricing library with multiple developers.
  • Experience testing models, preparing technical documentation, and explaining technical concepts to non-technical users

Desirable skills/Preferred Qualifications:

  • Knowledge of additional languages such as VBA, C#, Haskell, etc.
  • Quantitative Investment Strategies on rates and rates options underlyings

You may be assessed on key critical skills relevant for success in the role such as mathematics, finance, programming, risk and controls, change and transformation, business acumen, and strategic thinking.

Apply Now

Data Scientist

  • Singapore
  • Negotiable
  • Permanent
Responsibilities
•Lead complex R&D initiatives: drive research and innovation in LLMs, NLP, machine learning, and graph analytics, turning advanced techniques into production-grade solutions.
•Own the full data science lifecycle: from discovery, framing, and exploration to deployment, customer delivery, and long-term monitoring.
•Shape ambiguous challenges into well-defined problem statements and design practical, state-of-the-art solutions aligned with business and regulatory needs.
•Engage directly with customers and stakeholders: collaborate to co-design use cases, set success metrics, and ensure solutions are adopted, measurable, and impactful.
•Mentor and guide peers: elevate technical excellence, foster knowledge-sharing, and set best practices for experimentation, testing, and deployment.
•Prototype rapidly: explore new ideas and validate hypotheses quickly, while balancing innovation with scalability and maintainability.
•Ensure production success: design, implement, and optimize pipelines for data integration, validation, monitoring, and retraining to sustain long-term model performance.
•Communicate effectively: distill technical complexity into compelling business insights, helping stakeholders make informed decisions.
•Champion excellence in execution: enforce best practices in MLOps, DataOps, and software engineering to deliver reproducible, maintainable, and scalable solutions.
•Continuously improve tooling and processes that accelerate delivery, experimentation, and collaboration across the data science function.

Requirements
•Must be based in Singapore (remote-first team; flexible working environment).
•Bachelor’s degree, Master or PhD in Data Science, Computer Science, Statistics, or related field.
•6+ years of hands-on experience delivering data science projects from research to production, ideally in mission-critical domains.
•Proven expertise with LLMs and modern NLP frameworks (LangChain, LlamaIndex, OpenAI APIs, HuggingFace, etc.).
•Strong foundation in machine learning, graph analytics, anomaly detection, and unstructured data workflows.
•Advanced proficiency in Python and SQL with a track record of writing clean, modular, testable, and production-ready code.
•Experience with large-scale data platforms (e.g., PySpark, BigQuery) and scalable ML deployments.
•Solid knowledge of MLOps and DataOps, including CI/CD, monitoring, retraining, and reproducibility.
•Comfortable in Linux, Git, Docker, and modern collaboration workflows.
•Exceptional communication and stakeholder management skills: able to translate technical insights into business outcomes and influence at all levels.
•Proven ability to drive measurable impact: balancing state-of-the-art research with practical, customer-driven implementation.
•A mindset of ownership, flexibility, and resilience: you adapt quickly, handle ambiguity, and are committed to delivering results.
Apply Now

Ai Engineer

  • Singapore
  • Negotiable
  • Permanent
GENERAL DESCRIPTION
We are seeking a skilled machine learning platform engineer (MLOps) to join our agile platform team which is part of our ML & AI ART. In this role, Bridge the gap between experimental data science and production-grade systems. You'll contribute across the entire lifecycle - from concept to deployment - and collaborate closely with cross-functional teams to deliver high-quality digital solutions. Further, you drive the orchestration of advanced agentic workflows to enable autonomous, AI-driven systems. You will be responsible for engineering robust data pipelines, establishing comprehensive model management lifecycles, overseeing all foundational platform-level AI integrations – including engineering a robust library of AI skills for agent use.

KEY FEATURES OF THE POSITION
Functional / Technical
• Design, develop and deploy machine learning solutions and services
• Implement end-to-end machine learning pipelines from data ingestion to training and model serving
• Operationalize LLMs, embeddings, and multi-agent systems in real-world applications
• Manage the machine learning and model lifecycle (experimentation, registry, deployment)
• Oversee the model promotion lifecycle, coordinating validation gates and approval workflows to safely deploy new model versions from stating to production
• Containerize applications using Docker and orchestrate them via Kubernetes
• Build and maintain CI/CD pipelines for ML models and LLM applications
• Collaborate with data scientists to refactor research code into production-ready Python code
• Monitor model performance, data drift, and performance in production
• Assess and integrate AI solutions ensuring optimal performance and reliability
• Design and implement production grade RAG systems
• Collaborate with infrastructure teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes
• Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions

SKILLS REQUIREMENTS OF THE POSITION
Competencies
• Strong problem-solving and analytical skills, with the ability to think critically and creatively about complex challenges
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization
• Ability to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-quality results on schedule
• Continuous learning mindset, with a passion for staying up to date with the latest advancements in machine learning and artificial intelligence
• Attention to detail and commitment to producing high-quality, reliable, and maintainable code

Education and skills requirements
• Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
• Advanced proficiency in Python programming with a focus on writing clean, testable and efficient code
• DevOps & Containers: Proficient with Docker for containerization and working knowledge of Kubernetes (k8s) for orchestration
• Practical understanding of GPU architecture and cloud compute instances to optimize resource allocation for training and inference workloads
• MLOPS tools: hands on experience with MLflow (or similar tools like weights & biases) for experiment tracking and model registry
• Proven experience working with Large Language Models (LLMs)

ROLE PROFILE | 2/2
• Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns
• Experience with data preprocessing, feature engineering, and model selection and evaluation techniques
• Hands-on experience with CI/CD pipelines (GitLab, Jenkins)
• Knowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimization
• Excellent problem-solving and debugging skills, with the ability to identify and resolve issues quickly and effectively
• Relevant work experience in machine learning, data science or a related field
Apply Now

Data Analyst

  • Singapore
  • Negotiable
  • Permanent
About the Role
In this role, you will be a core member of a small but effective integrated regional team that will help build and grow APAC’s digital ecosystem.
You will be in charge of collecting, analysing, and interpreting complex data sets to provide insights that drive business decisions. The ideal candidate will have a strong passion for data mining, analysis and data visualisation. You will also be able to work independently and as part of a team to deliver high-quality results with the goal of bringing best in class experiences to life for our consumer. You will collaborate with cross-functional teams to identify opportunities for digital business growth.
You will report directly to the Senior Manager, Digital & E-Commerce, and this is an independent contributor role managing internal brands across APAC. You will also be working collaboratively with our distribution partners, digital, ecommerce leads and regional business development managers to drive strategic thinking and KPI measurements.
What You Will Do
Data Collation and Analysis:
•
Design and implement data collection methodologies and process to collate relevant data from multiple sources and ensure sanity check.
•
Conduct detailed data analysis using data techniques, mining and visualisation to extract insights and identify trends.
Reporting and Visualisation:
•
Create dashboards, reports and visualisations that effectively communicate data-driven insights to various stakeholders.
•
Present findings and recommendations to internal teams, stakeholders and senior management in an accurate and concise manner.
•
Continuously refine reporting processes to improve accuracy, efficiency and effectiveness of data
Business Insights and Strategy:
•
Collaborate with internal and external stakeholders to understand their analytical needs.
•
Analyse data, work with stakeholders to understand their needs and translate data into actionable insights and recommendations.
•
Develop data visualisation to communicate findings.
•
Stay updated with industry trends and best practices in data analytics.
•
Collaborate with the wider product and marketing team to plan and create digital driven marketing plans (includes paid media), content, creatives, KPIs & reporting.
•
Work in hand with the global insights team to manage and deliver an annual brand health insights report across key APAC countries
•
This role will also require you to manage agency relationships, to ensure data and reports are delivered time
What You Need to Be Successful
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Bachelor’s Degree in eCommerce/Digital analytics, Information Systems, Computer Science or related field
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2 or more years working experience in data analytics.
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Strong understanding of data mining, analysis and data visualisation.
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Excellent analytical and problem-solving skills with a keen attention to detail
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Strong communication and presentation skills to convey complex info to non-technical audiences
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Ability to work independently and as part of a team in a fast-paced environment.
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Familiar with eCommerce operating platforms, web analytics, UX-UI tools (Google Analytics, Mouseflow or similar), Proficient in Excel, Power BI or similar tools.
Bonus Points if You Have
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Prior experience in Consumer Electronics or FMCG industry with APAC experience.
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Ability to juggle between the details and big picture, manage multiple and competing projects and priorities.
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Passion for and genuine curiosity for innovation in the Digital / e-Commerce space and a passion for data analysis.
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Data/Insight-driven, strong sense of accountability and solution-oriented are key. Ability to draw insights from multiple data sources and formulate recommendations for improvements.
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Adaptable to ambiguity, changes and be at the forefront to lead change in both actions and behavior
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Ability to work independently and collaboratively in a culturally-diverse team environment, and understanding what it means to achieve success with others and through others
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Excellent communicator and able to perform well in a matrixed organization. Proven experience in managing and influencing a network of local senior managers and managers in a cross functional team.
What Makes You Eligible
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Be willing to travel.
 
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