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Risk & Integrity System Analyst

External
Evolution logoEvolution · Tbilisi, GA
Full-timeOn-site3w ago
Data AnalysisExcelPythonScala
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Benefits

Inclusive, international, and multicultural work environment.Health InsuranceOn-site Gym / Yoga lessonsFit pass with corporate service at partner companiesPrivilege card - corporate discounts with partner companiesIf you are interested, please apply by adding your CV in English until June 12, 2026

Additional Information

Risk and Integrity System Analyst will be to identify and assess gaming domain risk areas and define game protection solutions by defining and overviewing implementation of operational procedures and software tools. Analyze, refine and simplify processes used by Risk Analysts, proactively seek ways to reduce manual work by optimizing and automating existing processes and systems. Identify and assess internal and external game operational risks of existing and new game products. Translate Game Integrity & Risk user requirements into a proper business proposal. Create and evaluate risk tools concept design and its planned function (how it is going to work, visual appearance, data input and output, etc.) to produce the most efficient output for Game Integrity & Risk department. Validate resources and conduct cost / benefit analysis for new red flag systems and other risk tools. Monitor deliverables and ensure timely completion of projects, perform user acceptance testing. Prepare technical reports by collecting, analyzing, and summarizing data and trends. At least 3 years of experience and knowledge in data, system, or risk analysis. Strong Foundation Probability, Statistics, and Combinatorics concepts. Proficient in data analysis tools, with advanced Microsoft Excel skills being essential. Creative, out of the box thinking mindset, Problem-solving skills. Ability to work both autonomously and within a team structure. Fluent English to a high standard both verbal and written Ability to influence stakeholders and work closely with them to determine acceptable solutions. Preferred good understanding of computer software design. Knowledge of Python, Scala, or other programming languages used in Data Analysis.


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