Senior Python quant/quantitative engineer
2 weeks ago
The core of our pricing and risk algorithm is already implemented. What we mainly need support with now is:
- testing and validating the existing models
- backtesting and stress testing under different scenarios
- identifying weaknesses or edge cases
- recommending improvements and, where needed, refining the implementation in Python and aligning it with our Golang backend
RequirementsWe're looking for someone who can:
- design probabilistic pricing models for fixed-odds prediction markets (politics, sports, macro, entertainment, etc.)
- implement live odds updates based on order flow and external data
- define basic risk management and exposure controls (limits, auto-adjustment of odds, scenario checks)
- run simulations and backtests to evaluate and improve the models
- deliver a production-ready Python implementation that our engineering team can integrate into our backend
For this role we specifically need someone with excellent Python skills – that is the primary and non-negotiable tech stack for the modelling and testing work.
In addition, it would be a strong plus if they also have experience with Golang, as our backend is built in Golang and there may be some integration and collaboration with our engineering team.
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