IT Risk Analyst (WAVE Team)

at  SEMrush

Hi there!
We are Semrush, a global IT company developing our own product – a platform for digital marketers. New stars are born here, so don’t miss your chance.
Our role IT Risk Analyst for those who value interaction with customers, understand risk management and develop and maintain the risk registry for Infrastructure Division

WHO WE ARE LOOKING FOR:

• Bachelor’s degree in Economics, Mathematics, Statistics, Computer Science, or a related field. A Master’s degree is a plus
• 2+ years of experience in data analysis, business intelligence, or a related field
• 3+ years of experience in risk evaluation, ideally within the IT infrastructure and/or cybersecurity sector
• Possess strong knowledge of risk management frameworks and best practices
• Proven track record of managing multiple projects and priorities in a fast-paced environment
• Familiarity with regulatory requirements and IT industry standards related to risk management
• Understanding of Industry Regulations: Knowledge of relevant laws, regulations, and best practices in the industry
• Knowledge of data visualisation and BI tools such as Tableau

Excellent communication skills with the ability to present data-driven insights to non-technical stakeholders

• Significant experience with statistical analysis techniques, tools and predictive modelling
• Excellent documentation skills - clear, visual and understandable artefacts
• Analytical Skills: Exceptional analytical and problem-solving skills as well as ability to think strategically
• Strong attention to detail, critical thinking, time management, and the ability to work both independently and as part of a team
• English at B2 level or above

• Develop and maintain the risk registry for the infrastructure division, ensuring it is comprehensive and up-to-date. Transforming our risk registry from qualitative to quantitative risk analysis
• Risk Assessment: Analyse statistical data to estimate the probability, severity and cost of realised threats on infrastructure assets
• Data Collection and Cleaning: Gathering data from various sources and ensuring it is accurate and usable. Participation in M&A due diligence audits for external companies
• Data Analysis and Interpretation: Applying statistical methods and machine learning algorithms to interpret data. Use software to analyze data and run simulations to predict future trends and outcomes
• Model Building: Creating predictive models and algorithms to analyze data trends and patterns
• Validation and Testing: Ensuring the accuracy and validity of models through rigorous testing
• Communication: Presenting findings in a comprehensible manner to stakeholders, often through visualizations and reports
• Financial Modelling: Create and use mathematical models to develop strategies and models for financial planning to evaluate investment decisions, distribute and forecast costs
• Advisory Duties: Provide expert advice to other Platform infrastructure teams