Overview

SoftConstruct is looking for a Senior Risk (Data) Analyst / VBET.

Responsibilities:
  • Develop and implement risk assessment models to evaluate the potential impact of identified risks
  • Ensure the identification and monitoring of various types of fraud in the gambling industry across all gambling products
  • Innovate data analysis techniques to optimize business processes, fostering a culture of continuous improvement
  • Participate in fraud investigations, profiling, and customer segmentation to preempt high-risk scenarios effectively
  • Provide operational and management decision-makers across all business areas with data-driven insights regarding risk management
  • Establish and streamline interactions between departments and the risk analytics team to enhance consistency and efficiency
  • Generate data-supported ideas for business growth, evaluating their expected economic impact based on discovery dates.
  • Develop a comprehensive system of metrics and explore their correlations with the company's business metrics.
  • Continuously seek opportunities to enhance service delivery and efficiency
  • Collaborate closely with platform developers, analysts from various business areas, and operational risk managers.
Required Qualifications:
  • University degree in Math, Statistics, Computer Science, Economics or related fields
  • Strong analytical skills and ability to analyze large datasets, knowledge in data discovering methodology
  • Understanding of metrics related to online business (web, product, CRM, general financial)
  • SQL skills are mandatory, and knowledge of Python will be an advantage
  • Experience in Risk Analytics and Gambling Analytics will be advantageous
  • English is required, and other languages will be an advantage
  • Proactive communication and presentation skills to communicate with team members, external data providers, C-level
  • Ability to work independently and as part of a team
  • Ability to understand and address poorly formalized problems, extracting and emphasizing key insights
  • Proficiency in working with large volumes of data, demonstrating efficiency and accuracy
  • Capability to draw conclusions and make recommendations based on digital analytics results

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