Overview
In this role you will build and own the pricing framework for a new compute-capacity market, developing forward curves and pricing for non-observable assets. You will interact with traders and risk leads to shape transaction structures and defend valuations. The work centers on translating first-principles pricing to practical models that meet institutional standards. This is a chance to contribute to DRW’s innovative approach to pricing in emerging markets and scale sophisticated technology across teams.
Responsibilities
- Build and own pricing framework for forward, structured and credit-linked transactions on compute capacity
- Develop forward curve construction for an asset with no observable forward market
- Produce reservation bids/offers on bilateral requests and defend them internally
- Own the valuation model for the book to institutional standards
- Collaborate with trading, risk and leadership on transaction structure beyond numbers
Key requirements
- PhD or MSc in a quantitative discipline (financial mathematics, operations research, statistics, physics, economics)
- Ability to price from structural first principles in data-sparse environments
- Experience with commodities, energy, freight, weather, insurance-linked or similar physically-grounded markets is relevant though not required
- Fluency in Python
- Experience with Monte Carlo methods and uncertainty quantification
- Temperament to state, own, and revise assumptions as evidence evolves
- Prior exposure to compute or semiconductor markets not required and not weighted
- ability to communicate and collaborate with trading, risk and leadership
- clear rationale and ownership of assumptions
- data-driven decision making
- Python
- Monte Carlo methods
- Uncertainty quantification
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