Job Title: Quantitative Analyst Company: Nedbank Job Category: Machine Learning Roles & Responsibilities: Leadership Pipeline ----------------------- Manage Self: Professional FAIS Affected ----------------- Support the development, refinement, testing, deployment, and maintenance of quantitative models, dashboards, and analytics solutions in accordance with group methodologies and/or industry best practices. Build foundational expertise in data science, risk modelling, and commercial acumen to enable independent delivery of high\-impact solutions across the Nedbank value chain. They support senior quantitative analytics teams by collecting, cleaning, and analysing data that forms the foundation for complex quantitative solutions. Job Responsibilities ------------------------ * Acquire and continuously develop/improve deep expertise in banking products, services and risk management. * Acquire and continuously develop/improve deep domain expertise in quantitative analytics and their application across various risk types and specialised functional. * Conduct research and analysis to build, maintain and continuously refine mathematical and statistical models and quantitative solutions. Collaboration and Development Model Design and Development Delivery management * Work and collaborate within and across teams, senior analysts and digital/technology teams to develop, maintain, enhance and deploy scalable models. * Support senior analysts and broader quantitative teams in the business change management and capability development processes related to the deployment of model/quantitative solutions. * Ensure agile delivery, cross functional collaboration and deployment readiness of models. Job Responsibilities Continue --------------------------------- * Participate in multi\-disciplinary/cross functional/business teams to design and deploy quant solutions. * Provide and receive peer reviews and constructive feedback. * Adopt a development mindset, demonstrating commitment, learning agility and an independent drive for continuous improvement and growth towards independent design and delivery of quantitative solutions. * Participate as a member of agile teams (sometimes multiple simultaneously) and deliver within continuously evolving strategic contexts and domain areas. * Actively contribute to a culture of innovation and continuous learning within the greater quant community. * Comply with both internal risk governance frameworks and external regulations, ensuring both integrity of quantitative solutions developed and adherence to conduct requirements (e.g., independence between model development and validation, SAS MRM Standards.) * Develop an understanding of the regulatory requirements and various standards (e.g. IFRS, Basel, etc.), ensuring their effective implementation in all relevant quantitative solutions and model development processes. * Participate in and provide technical support for the remediation of regulatory, validation, peer review, and audit findings. * Support model risk mitigation through robust validation, monitoring and remediation practices Essential Qualifications \- NQF Level ----------------------------------------- * Demonstrates foundational understanding of quantitative methods and apply them to defined tasks; more complex analyses are completed with guidance and supervision. * Strong knowledge of probability and statistics * Technical understanding or exposure to statistical analysis and models * Strong analytical and problem\-solving skills and ability to translate complex data and model / solution outcomes into business insights. * Proficiency or familiarity in programming languages (e.g. Python, R, C\+\+, Java, SQL, SAS, VBA, MATLAB, etc.), with the ability to translate algorithms and mathematical or statistical models into flexible and scalable coding logic * Technical understanding or exposure to big data concepts, data structures, data storage, data extraction/mining. * Technical understanding or exposure of model lifecycle management i.e. development, validation, implementation, monitoring. * Technical understanding and exposure to AI/ML techniques and model explainability tools (e.g., SHAP, LIME etc.). * Some exposure to banking regulation and accounting standards preferred but not essential Behavioural Competencies ---------------------------- Work Location: Johannesburg, GP, South Africa Availability: Full time
Job Title: VP2, Data Analytics & Insights Specialist, Compliance Company: UOB Job Category: Machine Learning Roles & Responsibilities: About UOB United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long\-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers. Job Description Support model maintenance * Liaise with key stakeholders/end users to receive and understand business feedback on model performance and incorporate feedback into models. * Re\-train and recalibrate existing AFC analytical models to prevent model drift periodically or as needed. New model development * Work closely with model end\-users and other key stakeholders (e.g., Data and Ops Engineer, Group Compliance and Wholesale/Retail business sectors, etc.) to identify additional areas which require analytics support or future model build and include those models in development pipeline. * Develop model narratives (e.g., purpose, logic, parameters, data requirements, output surfacing/structuring, etc.) in collaboration with the business and other relevant stakeholders. * Work closely with other Data Scientist(s) and undertake the end\-to\-end AFC model development, including data wrangling, exploratory data analysis, feature selection, model selection, training, testing, etc. * Build a range of models (e.g., rule\-based, supervised/unsupervised models, etc.) on structured, semi\-structured, and/or unstructured data if needed. Special projects * Support special/high\-priority projects, including building AFC analytical capabilities in response to external (e.g., regulatory, etc.) requests or internal intelligence, or based on gaps identified for existing analytical capabilities/models. * Keep abreast with the latest, cutting\-edge developments in data science and advanced analytics and recommend adoption of best practices within the bank, in relation to AFC/AML. * Understand new regulatory requirements/policy updates relating to the areas/risks covered by the AFC analytical models and work with the relevant teams to ensure that these updates are appropriately reflected in those models. Work Location: Greater Kuala Lumpur Availability: Full time
Job Title: Senior LLM / Multimodal AI Engineer Company: NCS Job Category: Machine Learning Roles & Responsibilities: NCS is a leading AI Tech Services company. With a 15,000\-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group. Job Description * Reproduce and optimise foundation model series (e.g., LLaVA, Qwen\-VL family) for production environments * Execute supervised fine\-tuning (SFT) and post\-training for domain\-specific content ecosystems including gaming, movies, automotive, and commercial advertising * Implement advanced training techniques including PEFT, LoRA, and quantization\-aware training * Design and deploy hierarchical Retrieval\-Augmented Generation (RAG) pipelines that enrich video understanding and enable in\-context retrieval * Build scalable vector search indexes (e.g., FAISS) supporting billions of embeddings * Optimise retrieval strategies including hybrid search, re\-ranking, and query expansion * Optimise large\-scale VLM and LLM serving using vLLM, TensorRT\-LLM, Triton, and ONNX Runtime * Implement dynamic batching, feature caching, and asynchronous scheduling to maximise GPU throughput * Monitor and tune production inference systems for latency, cost, and quality trade\-offs At NCS, you'll work alongside cross\-functional teams including AI Solution Architects, Data Engineers, and Product specialists to deliver transformative multimodal AI solutions. Your expertise will directly enhance our Video Intelligence Platform and support AI innovation across Public Service, Defence and Homeland Security, Healthcare and Transport, and other key sectors. Work Location: Singapore, Singapore Availability: Full time
Job Title: Artificial Intelligence Engineer Company: NCS Group Job Category: Machine Learning Roles & Responsibilities: NCS is a leading AI Tech Services company. With a 15,000\-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group. Job Description * Reproduce and optimise foundation model series (e.g., LLaVA, Qwen\-VL family) for production environments * Execute supervised fine\-tuning (SFT) and post\-training for domain\-specific content ecosystems including gaming, movies, automotive, and commercial advertising * Implement advanced training techniques including PEFT, LoRA, and quantization\-aware training * Design and deploy hierarchical Retrieval\-Augmented Generation (RAG) pipelines that enrich video understanding and enable in\-context retrieval * Build scalable vector search indexes (e.g., FAISS) supporting billions of embeddings * Optimise retrieval strategies including hybrid search, re\-ranking, and query expansion * Optimise large\-scale VLM and LLM serving using vLLM, TensorRT\-LLM, Triton, and ONNX Runtime * Implement dynamic batching, feature caching, and asynchronous scheduling to maximise GPU throughput * Monitor and tune production inference systems for latency, cost, and quality trade\-offs At NCS, you'll work alongside cross\-functional teams including AI Solution Architects, Data Engineers, and Product specialists to deliver transformative multimodal AI solutions. Your expertise will directly enhance our Video Intelligence Platform and support AI innovation across Public Service, Defence and Homeland Security, Healthcare and Transport, and other key sectors. Work Location: Singapore, Singapore Availability: Full time
Job Title: Senior LLM / Multimodal AI Engineer Company: NCS Job Category: Machine Learning Roles & Responsibilities: NCS is a leading AI Tech Services company. With a 15,000\-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group. Job Description * Reproduce and optimise foundation model series (e.g., LLaVA, Qwen\-VL family) for production environments * Execute supervised fine\-tuning (SFT) and post\-training for domain\-specific content ecosystems including gaming, movies, automotive, and commercial advertising * Implement advanced training techniques including PEFT, LoRA, and quantization\-aware training * Design and deploy hierarchical Retrieval\-Augmented Generation (RAG) pipelines that enrich video understanding and enable in\-context retrieval * Build scalable vector search indexes (e.g., FAISS) supporting billions of embeddings * Optimise retrieval strategies including hybrid search, re\-ranking, and query expansion * Optimise large\-scale VLM and LLM serving using vLLM, TensorRT\-LLM, Triton, and ONNX Runtime * Implement dynamic batching, feature caching, and asynchronous scheduling to maximise GPU throughput * Monitor and tune production inference systems for latency, cost, and quality trade\-offs At NCS, you'll work alongside cross\-functional teams including AI Solution Architects, Data Engineers, and Product specialists to deliver transformative multimodal AI solutions. Your expertise will directly enhance our Video Intelligence Platform and support AI innovation across Public Service, Defence and Homeland Security, Healthcare and Transport, and other key sectors. Work Location: Singapore, S00, Singapore Availability: Full time
Job Title: Senior LLM / Multimodal AI Engineer Company: DataSpark Pte Ltd Job Category: Machine Learning Roles & Responsibilities: NCS is a leading AI Tech Services company. With a 15,000\-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group. Job Description * Reproduce and optimise foundation model series (e.g., LLaVA, Qwen\-VL family) for production environments * Execute supervised fine\-tuning (SFT) and post\-training for domain\-specific content ecosystems including gaming, movies, automotive, and commercial advertising * Implement advanced training techniques including PEFT, LoRA, and quantization\-aware training * Design and deploy hierarchical Retrieval\-Augmented Generation (RAG) pipelines that enrich video understanding and enable in\-context retrieval * Build scalable vector search indexes (e.g., FAISS) supporting billions of embeddings * Optimise retrieval strategies including hybrid search, re\-ranking, and query expansion * Optimise large\-scale VLM and LLM serving using vLLM, TensorRT\-LLM, Triton, and ONNX Runtime * Implement dynamic batching, feature caching, and asynchronous scheduling to maximise GPU throughput * Monitor and tune production inference systems for latency, cost, and quality trade\-offs At NCS, you'll work alongside cross\-functional teams including AI Solution Architects, Data Engineers, and Product specialists to deliver transformative multimodal AI solutions. Your expertise will directly enhance our Video Intelligence Platform and support AI innovation across Public Service, Defence and Homeland Security, Healthcare and Transport, and other key sectors. Work Location: Singapore, S00, Singapore Availability: Full time
Job Title: Senior LLM / Multimodal AI Engineer Company: NCS Job Category: Machine Learning Roles & Responsibilities: NCS is a leading AI Tech Services company. With a 15,000\-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group. Job Description * Reproduce and optimise foundation model series (e.g., LLaVA, Qwen\-VL family) for production environments * Execute supervised fine\-tuning (SFT) and post\-training for domain\-specific content ecosystems including gaming, movies, automotive, and commercial advertising * Implement advanced training techniques including PEFT, LoRA, and quantization\-aware training * Design and deploy hierarchical Retrieval\-Augmented Generation (RAG) pipelines that enrich video understanding and enable in\-context retrieval * Build scalable vector search indexes (e.g., FAISS) supporting billions of embeddings * Optimise retrieval strategies including hybrid search, re\-ranking, and query expansion * Optimise large\-scale VLM and LLM serving using vLLM, TensorRT\-LLM, Triton, and ONNX Runtime * Implement dynamic batching, feature caching, and asynchronous scheduling to maximise GPU throughput * Monitor and tune production inference systems for latency, cost, and quality trade\-offs At NCS, you'll work alongside cross\-functional teams including AI Solution Architects, Data Engineers, and Product specialists to deliver transformative multimodal AI solutions. Your expertise will directly enhance our Video Intelligence Platform and support AI innovation across Public Service, Defence and Homeland Security, Healthcare and Transport, and other key sectors. Work Location: Singapore, Singapore Availability: Full time
Job Title: Artificial Intelligence Engineer Company: NCS Group Job Category: Machine Learning Roles & Responsibilities: NCS is a leading AI Tech Services company. With a 15,000\-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group. Job Description * Reproduce and optimise foundation model series (e.g., LLaVA, Qwen\-VL family) for production environments * Execute supervised fine\-tuning (SFT) and post\-training for domain\-specific content ecosystems including gaming, movies, automotive, and commercial advertising * Implement advanced training techniques including PEFT, LoRA, and quantization\-aware training * Design and deploy hierarchical Retrieval\-Augmented Generation (RAG) pipelines that enrich video understanding and enable in\-context retrieval * Build scalable vector search indexes (e.g., FAISS) supporting billions of embeddings * Optimise retrieval strategies including hybrid search, re\-ranking, and query expansion * Optimise large\-scale VLM and LLM serving using vLLM, TensorRT\-LLM, Triton, and ONNX Runtime * Implement dynamic batching, feature caching, and asynchronous scheduling to maximise GPU throughput * Monitor and tune production inference systems for latency, cost, and quality trade\-offs At NCS, you'll work alongside cross\-functional teams including AI Solution Architects, Data Engineers, and Product specialists to deliver transformative multimodal AI solutions. Your expertise will directly enhance our Video Intelligence Platform and support AI innovation across Public Service, Defence and Homeland Security, Healthcare and Transport, and other key sectors. Work Location: Singapore, Singapore Availability: Full time
Job Title: Senior LLM / Multimodal AI Engineer Company: NCS Job Category: Machine Learning Roles & Responsibilities: NCS is a leading AI Tech Services company. With a 15,000\-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group. Job Description * Reproduce and optimise foundation model series (e.g., LLaVA, Qwen\-VL family) for production environments * Execute supervised fine\-tuning (SFT) and post\-training for domain\-specific content ecosystems including gaming, movies, automotive, and commercial advertising * Implement advanced training techniques including PEFT, LoRA, and quantization\-aware training * Design and deploy hierarchical Retrieval\-Augmented Generation (RAG) pipelines that enrich video understanding and enable in\-context retrieval * Build scalable vector search indexes (e.g., FAISS) supporting billions of embeddings * Optimise retrieval strategies including hybrid search, re\-ranking, and query expansion * Optimise large\-scale VLM and LLM serving using vLLM, TensorRT\-LLM, Triton, and ONNX Runtime * Implement dynamic batching, feature caching, and asynchronous scheduling to maximise GPU throughput * Monitor and tune production inference systems for latency, cost, and quality trade\-offs At NCS, you'll work alongside cross\-functional teams including AI Solution Architects, Data Engineers, and Product specialists to deliver transformative multimodal AI solutions. Your expertise will directly enhance our Video Intelligence Platform and support AI innovation across Public Service, Defence and Homeland Security, Healthcare and Transport, and other key sectors. Work Location: Singapore, S00, Singapore Availability: Full time
Job Title: Senior LLM / Multimodal AI Engineer Company: DataSpark Pte Ltd Job Category: Machine Learning Roles & Responsibilities: NCS is a leading AI Tech Services company. With a 15,000\-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group. Job Description * Reproduce and optimise foundation model series (e.g., LLaVA, Qwen\-VL family) for production environments * Execute supervised fine\-tuning (SFT) and post\-training for domain\-specific content ecosystems including gaming, movies, automotive, and commercial advertising * Implement advanced training techniques including PEFT, LoRA, and quantization\-aware training * Design and deploy hierarchical Retrieval\-Augmented Generation (RAG) pipelines that enrich video understanding and enable in\-context retrieval * Build scalable vector search indexes (e.g., FAISS) supporting billions of embeddings * Optimise retrieval strategies including hybrid search, re\-ranking, and query expansion * Optimise large\-scale VLM and LLM serving using vLLM, TensorRT\-LLM, Triton, and ONNX Runtime * Implement dynamic batching, feature caching, and asynchronous scheduling to maximise GPU throughput * Monitor and tune production inference systems for latency, cost, and quality trade\-offs At NCS, you'll work alongside cross\-functional teams including AI Solution Architects, Data Engineers, and Product specialists to deliver transformative multimodal AI solutions. Your expertise will directly enhance our Video Intelligence Platform and support AI innovation across Public Service, Defence and Homeland Security, Healthcare and Transport, and other key sectors. Work Location: Singapore, S00, Singapore Availability: Full time
