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Role Summary The Applications Development Technical Lead Analyst is a senior engineering and architectural leadership role based in Singapore, operating as a key regional anchor within the global Client Risk and…
Java quant developer at an asset management firm in London, productionising quantitative models for government bonds (rates) and MBS fixed income on a 6-person global quant dev team. The work is 80% Java / 20% Python (Python not required), collaborating with traders, quants and researchers. Hybrid, 4 days/week on-site.
Python engineer in a two-person AI Labs team at a London buy-side asset manager, building agentic AI solutions (LangChain/LangGraph, AWS) for investment, sales and marketing departments in ~3-month delivery cycles, then handing them to departmental tech teams. Hybrid, 3 days/week in office; £110k–£140k + bonus.
Exciting opportunity at one of the fastest growing financial services firms around the world. They offer prime brokerage, clearing and financing across traditional and digital assets, and are now looking to hire…
Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you'll have the opportunity…
£90,000 to 120,000 GBP bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent AI Engineering Manager Location: UK - Hybrid / Flexible Salary: Up to £120,000 base salary,…
An exciting opportunity to join a leading global investment manager in a key role combining investment performance, data management and technology transformation . We are looking for an experienced professional to lead…
Director-level role at SMBC in Singapore leading the enterprise data platform: building cloud-native ingestion, transformation, BI, analytics workbenches, and AI/LLM integration, while owning security, observability, cost, and distributed engineering teams. Core stack includes Databricks, Snowflake, Kafka, Spark, Airflow, and Kubernetes.
Hands-on senior data engineering role at United Overseas Bank in Singapore: build enterprise-scale ingestion frameworks, Lakehouse platforms (Bronze/Silver/Gold), governed data products and AI-ready data assets using Spark, Java, Python, Kafka, Iceberg and the Hadoop ecosystem, plus operationalizing ML and agentic AI for banking.
VP-level data engineering leadership role at SMBC in Singapore, owning the bank-wide Data Lakehouse strategy: designing reusable frameworks for ingestion, transformation, data quality, reconciliation and lineage, and driving adoption of Databricks, Spark, Python and SQL tooling while leading regional and offshore teams.
VP of Fullstack Engineering at OCBC in Singapore: lead a 12–20 engineer regional squad delivering a compliant Loan Origination platform (credit workflows, onboarding, lending automation) with hands-on Java, API-driven architecture, CI/CD (Jenkins/GitLab), SQL, observability, and AI (MCP) in a MAS-regulated banking environment.
Enterprise Data & AI Platform Engineer at OCBC in Singapore, administering Cloudera CDP/CML, Hadoop/Spark big-data stacks and AWS AI/ML services (SageMaker, Bedrock, EKS) across hybrid cloud — handling upgrades, security patching, monitoring, and Shell/Python automation to keep the bank's data and AI platforms reliable.
Senior Java engineer at OCBC bank in Singapore leading the design, build, and governance of enterprise APIs, microservices, and end-to-end payment services using Java, Spring Boot, WSO2, Kafka/IBM MQ, and AWS, while mentoring engineers and ensuring security, observability, and reliability standards.
SMBC: A trusted partner for the long term Here at SMBC Group, we want to help you find the next step in your career so read on to discover if this opportunity is the one for you. We like to recognise potential in our…
About the Role: Grade Level (for internal use): 14 The Team: The newly created Commercial Enablement team brings together enablement capabilities from across the commercial organization under one unified structure,…
Full Stack Developer at a well-funded AI start-up in Hong Kong, building web apps for customer-facing AI products and internal tools. Day to day: designing features, integrating AI models and third-party services, and optimizing performance using modern JS front ends (React/Next.js/Vue) with Node.js or Python backends.
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