Total 90 job vacancies by Technology Services Group Pte. Ltd.

Leading AI quant fund are looking to hire a machine learning quant researcher onto their systematic team.

Role:

• Conduct quantitative research with PM and other AI quants to develop and back-test different machine learning and statistical models, as well as productionize such models.
• Combine sound financial insights and machine learning techniques to explore, analyze, and harness a large variety of datasets.
• Use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave.
• Apply machine learning to a vast array of datasets
• Focuses on NLP related synthesis with time-series considerations such as exponential decays of sentiment signals
• Focuses on triangulating various sentiment strengths from a top-down hierarchical modelling to latent graphical inferences

Requirements:

• Masters/PhD degree in Mathematics, Physics, Financial Engineering, Computer Science, Statistics with specialization in Machine Learning
• Experience working with large datasets and machine learning techniques
• Experience in one or more of deep learning, reinforcement learning, non-convex optimization, Bayesian non-parametrics, NLP or approximate inference.
• Publications at top conferences such as NeurIPS, ICML, ICLR etc. is highly desirable.
• Experience in a high-performance language (ideally C++, or similar languages)
• Outstanding performance in any quantitative field or contest (Kaggle, hackathons, Olympiads, academic contests etc.).
• Experience implementing machine learning algorithms in industry.
• Open to ML quants who are already working within finance or ML quants within tech who are interested to move to finance.
• Trading Background is not a pre-requisite for the above role.

Leading AI quant fund are looking to hire a machine learning quant researcher onto their systematic team.

Role:

• Conduct quantitative research with PM and other AI quants to develop and back-test different machine learning and statistical models, as well as productionize such models.
• Combine sound financial insights and machine learning techniques to explore, analyze, and harness a large variety of datasets.
• Use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave.
• Apply machine learning to a vast array of datasets
• Focuses on Regression and Classification
• Focuses on Ensembles
• Understanding confidence interval, probability inference and causal inferences

Requirements:

• Masters/PhD degree in Mathematics, Physics, Financial Engineering, Computer Science, Statistics with specialization in Machine Learning
• Experience working with large datasets and machine learning techniques
• Experience in one or more of deep learning, reinforcement learning, non-convex optimization, Bayesian non-parametrics, NLP or approximate inference.
• Publications at top conferences such as NeurIPS, ICML, ICLR etc. is highly desirable.
• Experience in a high-performance language (ideally C++, or similar languages)
• Outstanding performance in any quantitative field or contest (Kaggle, hackathons, Olympiads, academic contests etc.).
• Experience implementing machine learning algorithms in industry.
• Open to ML quants who are already working within finance or ML quants within tech who are interested to move to finance.
• Trading Background is not a pre-requisite for the above role.

As a Backend Engineer specializing, you will be responsible for designing, developing, and maintaining backend systems that support the integration and optimization of AI models & LLM in trading applications. You will work closely with the AI engineering team to integrate various machine learning models and algorithms into the backend systems to address business needs, ensuring high availability and low latency.

Key Responsibilities:

• Design, develop, and maintain backend systems and services that support AI models, ensuring high availability and low latency
• Integrate machine learning models and algorithms into backend systems for recommendation systems, predictive analytics, and other business applications
• Collaborate with frontend engineer, AI engineer and other stakeholders to identify business problems and design backend solutions
• Develop efficient APIs, ensuring high standards of performance, reliability, and security
• Write comprehensive tests for all developed features to maintain software quality and reliability
• Document system design and API specifications to foster collaboration and transparency

Qualification & Skills:

• 3+ years of professional experience as Backend Engineer
• Proficiency in Python, Golang, node.js
• Strong understanding of database systems, including both SQL and NoSQL, and web development frameworks
• Solid experience in complex system design or architecture building
• Familiarity with API design principles and best practices
• Familiarity with caching mechanisms and cache invalidation strategies
• Experience with cloud infrastructure, preferably AWS or GCP
• Strong problem-solving, communication, and interpersonal skills
• Passionate about AI/ML, with a keen interest in LLM technology

**Salary will be commensurate with the candidate's level of experience and qualifications, reflecting our commitment to equitable compensation practices

Job Overview:

We are seeking a talented and experienced Digital Product Manager to join our team. The ideal candidate will be responsible for leading the development of our digital products and platforms, collaborating closely with cross-functional teams to deliver solutions that meet customer needs and drive business growth in the digital space.

Key Responsibilities:

• Lead the development roadmap for our LLM Chatbot and AI-driven trading products, from conception to launch and beyond.
• Drive cross-functional teams of designers, engineers, QA professionals, and analysts to execute product development initiatives effectively.
• Lead Agile development processes, including sprint planning, backlog grooming, daily stand-ups.
• Lead the Digital product development lifecycle, from ideation to launch, ensuring timely delivery of high-quality digital products and features.
• Work closely with cross-functional teams and stakeholders prioritize features, allocate resources, and drive digital product development.
• Develop detailed digital product requirements and specifications, including user stories, wireframes, and prototypes.
• Define and track key digital product performance indicators (KPIs) to measure product success and iterate based on user feedback and data insights

Qualifications:

• Bachelor's degree in Business, Marketing, Computer Science, or related field; MBA or advanced degree is a plus.
• Proven track record of successful digital product management, with 2 to 5 years of experience in a similar role.
• Strong understanding of digital product development methodologies, such as Agile or Scrum.
• Possess proficient knowledge of project management, collaboration, and design tools, such as Jira, Confluence, and Figma
• Excellent analytical skills, with the ability to analyse user data and derive actionable insights to drive product decisions.
• Exceptional communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Demonstrated leadership abilities, with a proactive and results-driven approach to problem-solving.
• Experience working on digital platforms, mobile apps, or web applications is preferred.
• Proficiency in project management tools and digital product management software.
• Passion for technology, innovation, and creating seamless digital experiences for users.
• Knowledge or interests in LLM and AI will be advantageous but not a must.

Job Responsibilities:

• Focuses on DataOps from ingesting to deployment. Portfolio to be requested here.
• Maintain and enhance trading pipelines.
• Combine various data sources via API or scraping into a singular source of truth.
• Develop feature store and automate features cleaning, processing, engineering, and monitoring of drifts.
• Develop data lineage of each feature and also ensuring features integrity with data fingerprinting techniques.
• Work with batch and streaming data and reduce anomalies in data or gaps in different financial data sources.
• Build, maintain, enhance data pipelines using DataOps, MLOps and AIOps frameworks.
• Work with full suite of data and model infrastructure and integration i.e. SageMaker Studio

Job Requirements:

• Bachelor's in relavent qualifications or above.
• Must have languages: Python, SQL & NoSQL
• Must have database experiences: Mapreduce, Partitioning, Spark etc.
• Must have data ingestion tools: Kafka, Flume or Sqoop etc.
• Must have data management experiences: Feature Store, Engineering Reproducibility etc.
• Must have testing experiences: Unit Tests, Errors Handling to ensure trading system remains fault tolerance and robust
• Must have orchestration tools: DAGs in Airflow or Prefect, MLFlow
• Must have deployment experiences: Docker, AWS S3, Lambda etc
• Extremely good to have languages: C, C# C++, Java
• Extremely good to have capabilities: Scripting in vim, Neo4j

**Salary will be commensurate with the candidate's level of experience and qualifications, reflecting our commitment to equitable compensation practices

Our company is at the forefront of innovation in financial technology. Our mission is to develop an AI-driven platform that predicts market trends, empowering retail investors with the tools previously only accessible to professionals. We're looking for a talented MLOPs Software Engineer with an interest in finance to join our growing team in our Singapore office.

Responsibilities

• Focuses on MLOps from model training, model evaluation to trading evaluation. Portfolio to be requested here.
• Develop large-scale deployment of GPU nodes running in dozens of Kubernetes clusters across regions. Core technologies may include: CUDA, Python, PyTorch, Triton, Redis, NCCL, NVLink.
• Develop simulation pipelines to scale the testing of hyperparameters for model training and for trading. The innovation here lies in ability to synchronize model parameters with financial trading parameters.
• Automate feature evaluation and experimentation for model training.
• Automate model training and model performance evaluation.
• Combine classical model evaluation with financial trading evaluation metrics such as Sharpe, Turnover, Fitness, Returns, Drawdown, Margin, Long Count, Short Count, Sector/Subindustry Allocations etc.
• Build, maintain, enhance model pipelines using MLOps and AIOps frameworks.
• Work with full suite of data and model infrastructure and integration i.e. SageMaker Studio or Vertex A.I.
• Work with Data Scientists to setup model monitoring and feedback systems.
• Part of a sub-team focusing on full autonomous AI Trading under a larger trading division.

Requirements:

• Bachelor’s and above. Software Engineering background would be preferred.
• Must have stack: CUDA, PyTorch, low level languages such as C++ or Go.
• Must have experiences (Any of these passes):
  • High scale distributed training and inference systems and ML systems.
  • Parallel and distributed computing with multiple gpus at once
  • High throughput scheduling as a service particularly at supercomputing scale.
  • Understand how to resolve Segmentation Faults
• Must have testing, debugging experiences: Unit Tests, Integration Tests, Errors Handling to ensure trading system remains fault tolerance and robust
• Must have orchestration tools: DAGs in Airflow or Prefect, MLFlow
• Must have deployment experiences: Docker, AWS, Load Testing etc
• Good to have network technologies inside and out

Position Overview:

We are seeking a talented and creative UI/UX Designer to join our team. The ideal candidate is passionate about user-centred design and thrives in a fast-paced, collaborative environment. You will be responsible for designing and optimizing user interfaces that seamlessly integrate AI features, providing users with a seamless and intuitive trading experience.

Key Responsibilities:

• Collaborate with cross-functional teams including product managers, engineers, and data scientists to understand user needs and business requirements.
• Design intuitive user interfaces for our AI-powered trading platform, focusing on usability, accessibility, and visual appeal.
• Conduct user research, usability testing, and gather feedback to continuously iterate and improve the user experience.
• Create wireframes, prototypes, and design mock-ups to communicate design concepts and interactions effectively.
• Stay up-to-date with industry trends, best practices, and emerging technologies in UI/UX design and AI to drive innovation and enhance product features.
• Work closely with developers to ensure design specifications are implemented accurately and maintain design consistency throughout the product.

Qualifications:

• Bachelor's degree in Design, Human-Computer Interaction, or related field.
• Proven experience as a UI/UX Designer or similar role, with a strong portfolio showcasing innovative and user-centric design solutions.
• Proficiency in design tools such as Figma, or similar software.
• Solid understanding of user-centred design principles, interaction design, and information architecture.
• Experience working with AI technologies and integrating AI features into user interfaces is highly desirable.
• Excellent communication skills and ability to collaborate effectively with cross-functional teams.
• Strong problem-solving skills and attention to detail.

** Salary will be commensurate with the candidate's level of experience and qualifications, reflecting our commitment to equitable compensation practices

As a Frontend Engineer, you will be responsible for architecting and developing efficient, reusable, and visually appealing frontend systems for a trading application powered by AI models and LLMs. You'll work closely with cross-functional teams, including backend engineers, AI engineers, product managers, UI/UX designers, and the product design team to deliver a responsive, engaging user experience across web and mobile platforms. Your expertise will ensure a seamless blend of aesthetic and functionality.

Key Responsibilities:

• Architect, design, and develop efficient and reusable frontend systems (Web/Mobile)
• Collaborate with backend engineers, AI engineers, UI/UX designers, product managers, and other stakeholders to build comprehensive, architecturally sound, and visually appealing frontend solutions
• Optimize code to improve scalability, reliability, security, and performance of web and mobile applications
• Design interactive components, especially for chat-based and generative UI, to create dynamic LLM-powered user experiences
• Write comprehensive tests for all developed features to maintain software quality and reliability
• Documentation of design and architecture

Qualification & Skills:

• Minimum 3 years of professional experience as a Frontend Engineer
• Strong proficiency in React/Next.js for web development and/or React Native for mobile
• Familiarity with LLM application development and generative UI/interactive components, particularly for chat-based applications
• Strong understanding of code optimization techniques for improved performance, scalability, reliability, and security
• Excellent collaboration and communication skills to work effectively across teams

**Salary will be commensurate with the candidate's level of experience and qualifications, reflecting our commitment to equitable compensation practices

Job Overview:

We are seeking a detail-oriented and highly organized QA Testing Engineer specializing in both web and mobile applications. Your role will be to establish and implement best practices in testing activities. Collaborating with cross-functional teams, you will create comprehensive test plans and manage the overall quality assurance lifecycle for our products & applications.

Key Responsibilities:

• Design, develop and implement QA test procedures and test cases, ensuring comprehensive coverage
• Oversee the QA process, modify testing procedures, and implement improvements as needed
• Collaborate with developers, product managers, and other stakeholders to define acceptance criteria and ensure high-quality deliverables
• Troubleshoot quality issues, identify root causes, and work with development teams to implement fixes
• Analyze test results, provide insights to development teams, and ensure traceability of requirements and test cases
• Ensure testing artifacts are complete and adhere to quality standards throughout the SDLC project delivery methodology

Qualification & Skills:

• Bachelor's degree in computer science, software engineering, or a related field.
• 3+ years of experience in QA testing for web and mobile applications
• Strong knowledge of QA methodologies, tools, and processes.
• Experience writing and executing comprehensive test cases with tools like JIRA/XRAY or the similar.
• Familiarity with accessing application logs to troubleshoot issues
• Experience creating and executing automated tests for Web (UI/UX), API, and mobile platforms
• Knowledge of Selenium WebDriver, Java, Cucumber, Postman, and SQL tools
• Strong communication, problem-solving, and analytical skills.

** Salary will be commensurate with the candidate's level of experience and qualifications, reflecting our commitment to equitable compensation practices

Leading AI quant fund are looking to hire a machine learning quant researcher onto their systematic team.

Role:

• Conduct quantitative research with PM and other AI quants to develop and back-test different machine learning and statistical models, as well as productionize such models.
• Combine sound financial insights and machine learning techniques to explore, analyze, and harness a large variety of datasets.
• Use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave.
• Apply machine learning to a vast array of datasets
• Experience with options trading such as Iron Condor, Iron Butterfly, Straddle, Strangle, Collar etc.
• Understanding the mathematical derivation of Black-Sholes Pricing Model, Time Decay, Implied Volatility

Requirements:

• Masters/PhD degree in Mathematics, Physics, Financial Engineering, Computer Science, Statistics with specialization in Machine Learning
• Experience working with large datasets and machine learning techniques
• Experience in one or more of deep learning, reinforcement learning, non-convex optimization, Bayesian non-parametrics, NLP or approximate inference.
• Publications at top conferences such as NeurIPS, ICML, ICLR etc. is highly desirable.
• Experience in a high-performance language (ideally C++, or similar languages)
• Outstanding performance in any quantitative field or contest (Kaggle, hackathons, Olympiads, academic contests etc.).
• Experience implementing machine learning algorithms in industry.
• Open to ML quants who are already working within finance or ML quants within tech who are interested to move to finance.
• Trading Background is not a pre-requisite for the above role.

Leading AI quant fund are looking to hire a machine learning quant researcher onto their systematic team.

Role:

• Conduct quantitative research with PM and other AI quants to develop and back-test different machine learning and statistical models, as well as productionize such models.
• Combine sound financial insights and machine learning techniques to explore, analyze, and harness a large variety of datasets.
• Use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave.
• Apply machine learning to a vast array of datasets
• Focuses on Anomaly Detections, Clustering, Dimensionality Reductions and other domains of machine learning that involves using distance-based metrics.
• Would also include things like Markov Chains, Bayesian, Market Basket Mining etc.

Requirements:

• Masters/PhD degree in Mathematics, Physics, Financial Engineering, Computer Science, Statistics with specialization in Machine Learning
• Experience working with large datasets and machine learning techniques
• Experience in one or more of deep learning, reinforcement learning, non-convex optimization, Bayesian non-parametrics, NLP or approximate inference.
• Publications at top conferences such as NeurIPS, ICML, ICLR etc. is highly desirable.
• Experience in a high-performance language (ideally C++, or similar languages)
• Outstanding performance in any quantitative field or contest (Kaggle, hackathons, Olympiads, academic contests etc.).
• Experience implementing machine learning algorithms in industry.
• Open to ML quants who are already working within finance or ML quants within tech who are interested to move to finance.
• Trading Background is not a pre-requisite for the above role.

Leading AI quant fund are looking to hire a machine learning quant researcher onto their systematic team.

Role:

• Conduct quantitative research with PM and other AI quants to develop and back-test different machine learning and statistical models, as well as productionize such models.
• Combine sound financial insights and machine learning techniques to explore, analyze, and harness a large variety of datasets.
• Use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave.
• Apply machine learning to a vast array of datasets
• Focuses on Time-Series Transformers Based such as TFT
• Focuses on Pytorch Forecasting, GlutonTS, NeuralForecast Stacks
• Understanding the difference between autoregressive versus latent properties

Requirements:

• Masters/PhD degree in Mathematics, Physics, Financial Engineering, Computer Science, Statistics with specialization in Machine Learning
• Experience working with large datasets and machine learning techniques
• Experience in one or more of deep learning, reinforcement learning, non-convex optimization, Bayesian non-parametrics, NLP or approximate inference.
• Publications at top conferences such as NeurIPS, ICML, ICLR etc. is highly desirable.
• Experience in a high-performance language (ideally C++, or similar languages)
• Outstanding performance in any quantitative field or contest (Kaggle, hackathons, Olympiads, academic contests etc.).
• Experience implementing machine learning algorithms in industry.
• Open to ML quants who are already working within finance or ML quants within tech who are interested to move to finance.
• Trading Background is not a pre-requisite for the above role.

Our company is at the forefront of innovation in financial technology. Our mission is to develop an AI-driven platform that predicts market trends, empowering retail investors with the tools previously only accessible to professionals. We're looking for a talented Senior Machine Learning Developer with an interest in finance to join our growing team in our Singapore office.

Job Responsibilities:

• Focuses on bridging financial models to machine learning and deep learning models to financial models.
• Focuses on bridging manual subject matter experts’ rule-based financial strategies to ML/AI strategical agents such as multi-agent modelling, macro-micro model ensembles.
• Combine statistical and non-statistical models via meta-learners.
• Range of work scope may involve that extends but not limited to: AI Stock Screener using Bayesian Modelling etc., AI Portfolio Optimization using Reinforcement Learning, AI Stock Trends Prediction using PyTorch Forecasting etc.
• Combine classical model evaluation with financial trading evaluation metrics such as Sharpe, Turnover, Fitness, Returns, Drawdown, Margin, Long Count, Short Count, Sector/Subindustry Allocations etc.
• Part of a sub-team focusing on full autonomous AI Trading under a larger trading division.

Job Requirements:

• Bachelor’s degree of Financial Engineering Background or relevant qualifications.
• Possess stack: PyTorch/Tensorflow, Python, R and SQL.
• Experiences in Alpha generations and metrics evaluation contextualization to financial trading metrics.
• Able to explain the meaning behind ‘everything is AI but nothing is AI’.

** Salary will be commensurate with the candidate's level of experience and qualifications, reflecting our commitment to equitable compensation practices

We are seeking a talented and experienced Total Rewards Specialist to join our team. The ideal candidate will be responsible for designing, implementing, and managing key performance indicators (KPIs), reward structures, and commission frameworks to drive employee motivation and performance excellence. This role requires a strategic mindset, analytical skills, and a deep understanding of incentive structures to align with organizational objectives and drive results.

Responsibilities:

• Design and develop comprehensive KPIs to measure individual, team, and departmental performance in alignment with organizational goals.
• Collaborate with line managers, stakeholders to understand business objectives and translate them into measurable performance metrics.
• Create and implement reward systems, including bonuses, incentives, and recognition programs, to motivate and retain high-performing employees.
• Analyze performance data and trends to identify areas for improvement and adjust incentive programs accordingly.
• Communicate incentive plans and performance expectations effectively to employees at all levels of the organization.
• Monitor and evaluate the effectiveness of incentive programs, making recommendations for adjustments or enhancements as needed.
• Stay informed about industry best practices and trends related to performance management and incentives.
• Collaborate with HR, finance, and other departments to ensure compliance with legal and regulatory requirements regarding compensation and incentives.
• Provide guidance and support to managers and team leaders on performance management processes and incentive implementation.

Qualifications:

• Bachelor's degree in business, human resources, finance, or a related field.
• 3 years and above of proven experience in designing and implementing performance management systems, incentive programs, and commission structures.
• Strong analytical skills with the ability to interpret data, identify trends, and make data-driven decisions.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
• Strategic mindset with the ability to align incentive programs with organizational goals and objectives.
• Knowledge of relevant laws and regulations related to compensation and incentives.
• Ability to work independently, manage multiple projects simultaneously, and meet deadlines in a fast-paced environment.
• Proficiency in google sheets or software's for data analysis and reporting.
• Certification in performance management, compensation, or related fields is a plus

As an LLM Developer for our AI Chat Assistant, you'll be instrumental in merging cutting-edge AI

with our advanced messaging platform. This role focuses on crafting a versatile AI assistant that not

only enhances communication but also acts as a personal organizer. From scheduling meetings via

API to managing to-do lists, your work will make our app an indispensable tool for our users.

Responsibilities:

• Backend Development: Implement Large Language Models (LLM) to power a General AI Chat
• Assistant within our app, focusing on features like API-driven calendar scheduling and dynamic todo list management.
• API Integration: Ensure seamless integration of external services (calendars, task managers) via APIs, enabling the chat assistant to perform a wide range of organizational tasks.
• Personalization and Adaptation: Develop mechanisms for the AI assistant to learn from user interactions, providing tailored suggestions and reminders.
• Data Management: Work with data engineers to ensure the assistant has access to accurate and timely information, enhancing its response quality and relevance.
• User Experience: Continually refine the AI assistant's conversational interface and functionality to improve engagement and utility.
• Model Optimization: Train, fine-tune, and maintain machine learning models to ensure the chat assistant's effectiveness and efficiency in understanding and executing user requests.
• Performance Monitoring: Regularly evaluate the assistant's performance, identifying and addressing any issues to maintain high service standards.
• Cross-functional Collaboration: Work closely with a diverse team to align the assistant's development with overall product goals and user feedback.
• Innovation: Stay abreast of the latest in LLM, AI technologies, and organizational tools, integrating them to keep our assistant at the forefront of innovation.

Requirements:

• Bachelor's or Master's degree in Computer Science, AI, or related fields.
• Experience in developing NLP applications, particularly in creating AI-driven chatbots or assistants.
• Proficiency in Python, API integrations, and SQL.
• Familiarity with LLM frameworks and techniques for enhancing AI conversational abilities.
• Solid understanding of machine learning, deep learning, and NLP principles.
• Strong analytical and problem-solving skills, with a flair for creativity and innovation in a fastpaced environment.
• Excellent communication abilities to explain complex technical concepts clearly.
• A meticulous approach to development and a passion for delivering exceptional user experiences.
• Experience with Knowledge Graphs, DevOps, and cloud services (e.g., AWS) is advantageous.
• Join us to build an AI assistant that not only simplifies communication but acts as a central hub for personal organization and productivity.
• Salary will be commensurate with the candidate's level of experience