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I’m expanding a forex and cryptocurrency-futures research project and now need a quantitative specialist who can both refine our liquidity-risk models and explain them with crystal-clear prose. The first task is a technical write-up of our liquidity-risk assessment model: data pipelines, statistical methodology, scenario design, stress-testing logic, and implementation notes (Python, pandas, NumPy, or the stack you prefer). This document should read like an internal spec—something a fellow quant or developer can pick up and work from immediately. The second task is an industry-facing white paper, positioning the model within the wider FX and crypto futures landscape. It should highlight current liquidity conditions, compare prevailing practices, and showcase how our framework adds value for exchanges, brokers, and professional traders. Tone it for publication and investor desks, not academic journals. Deliverables • Model documentation ready for peer review • Industry-analysis white paper ready for publication Drafts provided daily, but timeline is negotiable. If you have hands-on experience measuring liquidity risk in leveraged derivatives markets and enjoy translating maths into actionable insight, let’s discuss scope and settle on a fair fee.
Project ID: 39732128
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Active 56 yrs ago
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Sydney, Australia
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