Head of Quantitative Trading – iGaming

Posted Sep 9

This is a fully remote position, open to applicants in Bulgaria.

πŸ“‹ Description

β€’ Lead and build a quantitative team that focuses on in-play and pre-match pricing models, as well as risk and liability models, and trading automation.

β€’ Take ownership of models related to bet builder and same-game pricing, cash-out valuation, personalization, and market availability.

β€’ Collaborate with the VP R&D Trading and Chief Trading Officer to define the automation sequence.

β€’ Identify which markets, sports, and processes should be prioritized for automation and establish the necessary evidence at each stage.

β€’ Ensure model quality concerning margin, hold, price accuracy, and market availability.

β€’ Work in partnership with R&D trading teams and the AI core to implement models and create the supporting data platform.

β€’ Transform the human trader's role to focus on model supervision and exception handling.

β€’ Provide autonomous in-play football pricing, automated risk and liability limits, a structured automation roadmap, enhanced product pricing, and a reimagined trading operating model.


⛳️ Requirements

β€’ Proven experience in developing or managing automated pricing and risk models on a large scale.

β€’ Strong preference for candidates with experience in sportsbook or high-frequency trading models.

β€’ Extensive quantitative expertise in statistics, machine learning, and stochastic modeling.

β€’ Proficient hands-on modeling skills.

β€’ Experience in transitioning pricing models from research phases to live production environments.

β€’ Familiarity with the operational and cultural aspects of model-driven trading.

β€’ Strong measurement capabilities and ability to assess model performance prior to production deployment.

β€’ An AI-first mindset in modeling, research, and development.

β€’ Established credibility with both traders and engineers.


🏝️ Benefits

β€’ Fully remote work arrangement.

β€’ Opportunity to travel to Sofia, Bulgaria.

β€’ Access to AI tools as the standard in modeling, research, and development.

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