Financial Technology Jobs in Singapore
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Senior Talent Acquisition Partner (Regional)
We are partnering with a leading asset management firm to hire a Senior Talent Acquisition Partner to drive regional hiring across Asia. This is a strategic, high-impact role supporting front-to-back office growth within a dynamic investment platform.Key ResponsibilitiesLead end-to-end recruitment across Asia, covering investment, distribution, and...
Quantitative Researcher/Trader (Systematic Strategies)
Quant Researcher / Trader (Systematic Strategies) Location: Singapore (Relocation supported)We are working with a global trading firm with over two decades of experience, now expanding its systematic footprint across both traditional and digital asset markets.With established teams in the US and Europe, the firm is rapidly scaling its Asia platfor...
Network Engineer
Who We AreOur client is a well-established global hedge fund with a strong presence across Singapore, London, and New York. The firm operates a highly performance-driven technology environment supporting trading, research, and core business operations, with a growing focus on building robust, scalable, and reliable infrastructure across its global ...
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Quantitative Developer (Python) High Frequency Trading Firm
Title:Quantitative Developer (Python) - High Frequency Trading FirmCompany Overview:Our client is a leading global quantitative trading firm operating across major financial markets worldwide. The firm is technology-led, research-driven, and known for empowering small, high-impact teams to independently develop and run systematic trading strategies...
Rust Quant Developer | Crypto HFT
Senior Quantitative Developer (Rust) - Digital Assets Trading SystemsCompany Overview:Our client is a fast‑growing, technology‑driven digital assets firm with a strong presence across Asia and international markets. The firm operates across trading, infrastructure, and investment management, building end‑to‑end platforms that support institutional‑...
AI Engineer
Key ResponsibilitiesDesign, build, and deploy LLM-powered applications for real-world use cases (e.g., document intelligence, copilots, knowledge systems)Develop and optimize Retrieval-Augmented Generation (RAG) pipelines, including ingestion, chunking, embedding, retrieval, and rerankingArchitect and implement end-to-end AI systems, from backend s...