Your key tasks
-
Data Collection: Design, build and maintain pipelines for collecting and transforming data from multiple data sources: DBs, APIs and third-party security tools (e.g., Splunk and Tenable).
-
Automation: Develop automated processes for data extraction, transformation, and loading (ETL) to improve efficiency and reduce manual effort.
-
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.
-
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.
-
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 engineering, or a related role, ideally within the security industry.
-
Technical Skills:
- Programming languages such as Python, Go, Java or SQL.
- Data visualization tools like Apache Superset, Angular, Tableau, PowerBI or similar.
- Data processing frameworks and ETL tools.
- DB: MySQL
-
Security Knowledge: Understanding of cybersecurity principles, threat intelligence, and security incident response are beneficial.
-
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.
We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices.
In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self.
We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way.
Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.
#LI-Hybrid
