Executive Project Management and Reporting Specialist; m/f/d at Allianz SE
Verfasst am 2026-07-09
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IT/Informationstechnik
Daten Analyst
Who will you join?
You will be joining Allianz’s esteemed Group Compliance Team, a global leader in financial services with a steadfast commitment to integrity, transparency, and regulatory excellence. This team is instrumental in ensuring Allianz maintains a strong compliance posture across multiple jurisdictions while fostering a culture of ethical business practices.
The Strategy and Steering team within Group Compliance plays a crucial role in shaping Allianz’s compliance framework, driving strategic initiatives, and implementing technological solutions that enhance compliance operations. This team collaborates closely with senior leadership, regulatory bodies, and internal stakeholders to remain proactive in addressing regulatory changes and industry developments.
The Group Compliance Executive Project Management and Reporting Specialist supports the Group Compliance function, strengthening the quality, reliability, and efficiency of Compliance reporting including Management Information (MI) through advanced data analytics, automation, and reporting capabilities.
Responsibilities Compliance Reporting and Data Quality- Support the preparation, validation, and delivery of Group Compliance Management Information and regulatory reporting.
- Perform data quality assessments across multiple internal data sources to ensure completeness, consistency, accuracy, and timeliness.
- Investigate data discrepancies, identify root causes, and coordinate corrective actions with relevant stakeholders.
- Develop and maintain data quality metrics, dashboards, and reporting standards.
- Design, develop, and maintain Python-based automation solutions to streamline Compliance reporting and data validation activities.
- Build modular automation scripts that execute rule‑based data validation, reconciliation, anomaly detection, and exception reporting.
- Eliminate manual reporting activities through scalable and repeatable automation frameworks.
- Continuously identify opportunities to improve operational efficiency through automation and digitalisation.
- Analyse large compliance datasets to identify trends, inconsistencies, and emerging risks.
- Support the development of management dashboards, KPIs, KRIs, and executive reporting.
- Produce analytical insights that support management decision‑making and oversight.
- Leverage AI‑assisted development tools (e.g. Git Hub Copilot) responsibly to improve development productivity while ensuring all outputs are independently validated.
- Evaluate emerging AI capabilities to enhance reporting, automation, and data quality processes.
- Promote best practices for the responsible use of AI within Compliance reporting activities.
- Work closely with Group Compliance, Compliance IT, Data Management teams, and Operating Entities to understand reporting requirements.
- Translate business reporting requirements into technical automation and validation solutions.
- Support users during implementation, testing, and continuous improvement activities.
- Maintain technical documentation for automation scripts, validation rules, reporting logic, and operating procedures.
- Ensure reporting processes comply with internal governance standards and audit requirements.
- Support knowledge transfer and sustainability of developed solutions.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, Statistics, or a related discipline.
- Experience in Python programming, data analytics, or reporting automation.
- Experience working with structured data, SQL, Excel, and reporting tools.
- Strong analytical and problem‑solving capabilities.
- Excellent attention to detail and commitment to data quality.
- Ability to communicate effectively with both technical and business stakeholders.
- Experience in Compliance, Risk, Financial Services, or Insurance is advantageous.
- Familiarity with AML/CTF reporting and governance is desirable.
- Python development.
- Data quality management.
- Data analytics.
- Process automation.
- Business analysis.
- Reporting and…
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