Caladan

HQ
Singapore
Total Offices: 2
73 Total Employees
Year Founded: 2017

Jobs at Caladan

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Recently posted jobs

10 Days AgoSaved
In-Office
New York, NY, USA
Blockchain • Quantitative Trading
Lead institutional client acquisition and growth by selling crypto liquidity and trading solutions. Manage end-to-end sales cycles, own P&L targets, use CRM for pipeline forecasting, advise clients on derivatives, algorithmic strategies, market-making and DeFi/CeFi mechanics, and collaborate with trading, technology, operations, and marketing teams to onboard and scale business.
13 Days AgoSaved
In-Office
KL Eco City, Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, MYS
Blockchain • Quantitative Trading
The Post Trade Operations Specialist executes and monitors settlements, performs reconciliations, manages trade details, and collaborates on operational workflows.
13 Days AgoSaved
In-Office
Kraków, Małopolskie, POL
Blockchain • Quantitative Trading
Build and improve low-latency trading platform tooling, monitoring, alerting, deployment automation, and observability. Support production incidents, maintain essential services, tune kernel-bypass networking and end-to-end latency, establish performance baselines, and participate in an on-call rotation. The role requires close collaboration with trading desks and service owners in a Linux-based environment.
23 Days AgoSaved
In-Office
Singapore, SGP
Blockchain • Quantitative Trading
As a Senior Software Engineer, you will design and maintain a trading platform, implement new functionalities, mentor team members, and troubleshoot system issues.
23 Days AgoSaved
In-Office
Ho Chi Minh City, Ho Chi Minh, VNM
Blockchain • Quantitative Trading
Develop and deploy proprietary software like trading simulators and data management systems while documenting and automating processes.
One Month AgoSaved
In-Office
Singapore, SGP
Blockchain • Quantitative Trading
Summer-to-winter internship embedding with engineering and quant teams to build trading infrastructure, connect new venues and blockchains, optimise algos, and develop statistical/machine learning models to identify market inefficiencies and support live trading.