Our client is looking for an institutional-grade Quantitative Trader to help us build the sovereign digital public infrastructure for the future of global finance.

Our client operate a high-throughput Chain (Layer 2 ecosystem) and institutional stablecoins. Transforming global capital markets by bringing trillions of dollars in Real-World Assets (RWAs), tokenized bank deposits, and equities into 24/7 on-chain trading ecosystems.

If you are a math-driven Quant looking to move from traditional proprietary trading or crypto market-making into sovereign-scale financial engineering, let's talk.

Experience: 3+ Years (Prop Shop, Crypto Market Maker, Hedge Fund, or Investment Bank)

Core Tech: Production-grade Python (Pandas, NumPy, SciPy) + Deep Market Microstructure knowledge

What you’ll do:

Design and execute systematic market-making strategies for our institutional stablecoin (DDSC) and RWA pools.
Analyze on-chain market microstructure to minimize execution slippage for sovereign and institutional market participants.
Build end-to-end data pipelines in Python to backtest strategies using live and historical EVM data.

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