Technical Risk and Odds Analyst

August 7

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Sporty Group

Our mission is to be an everyday entertainment platform for everyone.

201 - 500

Description

• Analyze betting patterns and performance to identify potential vulnerabilities and areas of opportunity • Make recommendations to improve the internal trading tools whilst working closely with internal stakeholders • Collaboration with teams to ensure constant innovation in improve pricing and risk management products as a whole • Collaborate with global teams of Product Managers and Developers to understand business requirements and provide accurate translations to aid the transformation of excellent products • Participate in monitoring and optimizing risk management processes from a technical perspective to recommend improvements and best practices • Investigate issues by troubleshooting, analyzing codebase, inspecting logs etc • Act as second level of technical support to in-house Trading team • Gather, review and analyze business and industry data, including KPIs, financial reports and other key metrics using data analytics tools

Requirements

• Degree in Computer Science, Mathematics or a related field • Sportsbook industry experience, understanding trading issues and betting concepts is essential • Understanding of quantitative models and mathematical concepts • Translate product demands into technical requirements within sports betting/risk management context and clearly define expectations for developers • Backend technology experience is preferable including reading and understanding of backend codebases; programming fundamentals expertise (at least 1 object oriented language), database modeling and APIs • Excellent communication and presentation skills to convey complex risk management concepts to developers and/or traders • Experience working with large data sets, statistical data analysis, predictive modeling is considered an advantage • Proven experience working with numbers and risk management tools as well as analyzing and interpreting financial data • Strong analytical mindset with a keen eye for detail

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