Your key tasks
- Data Collection: Identify and gather relevant data from multiple internal and external sources, including logs, databases, APIs, and third-party security tools (e.g., Splunk, Tenable and others).
- Data Integration: Clean, process, and integrate data from disparate sources to ensure accuracy and consistency.
- Analysis and Interpretation: Perform exploratory data analysis to uncover patterns, trends, and anomalies in security data.
- Automation: Develop automated processes for data extraction, transformation, and loading (ETL) to improve efficiency and reduce manual effort.
- Dashboard and Report Creation: Design, build, and maintain interactive dashboards and reports using tools such as Apache Superset, Grafana, or similar platforms.
- Stakeholders Interaction: Collaborate with internal stakeholders to understand their security reporting needs and customize solutions to meet their requirements.
- Security Insights: Generate actionable insights and recommendations to improve clients' security measures based on data analysis.
- Collaboration: Work closely with engineers, architects, digital intelligence, and other stakeholders to ensure alignment and accuracy in reporting.
- Documentation: Maintain clear and comprehensive documentation of data sources, methodologies, and processes.
Requirements
- Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Information Security, or a related field.
- Experience: 5+ years of experience in data science, data analysis, or a related role, preferably within the security industry.
- Technical Skills:
- Proficiency in programming languages such as Python, Go, or SQL.
- Experience with data visualization tools like Apache Superset, Angular, PowerBI or similar.
- Familiarity with data processing frameworks and ETL tools.
- Security Knowledge: Understanding of cybersecurity principles, threat intelligence, and security incident response.
- Cloud Experience: Experience with cloud platforms (AWS, Azure, OCI) and their security features.
- Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret complex data sets.
- Advanced Analytics: Knowledge of machine learning and advanced analytics techniques.
- Communication Skills: Excellent written and verbal communication skills, with the ability to present findings to both technical and non-technical audiences.
It would be a real bonus if you have
- Certifications: Relevant certifications such as CISSP, CEH, or GIAC are a plus.
- Industry Knowledge: Experience in the financial or fintech industries.
Avaloq
Avaloq is a leading provider of wealth management technology and services for financial institutions worldwide.
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