Executive Project Management and Reporting Specialist (m/f/d) at Allianz SE

Stellenbeschreibung:

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.

Automation and Process Optimization

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.

Data Analytics

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.

AI‑Enabled Productivity

Leverage AI‑assisted development tools (e.g. GitHub 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.

Stakeholder Management

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.

Governance and Documentation

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.

Qualifications

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.

Preferred Qualifications

Python development.
Data quality management.
Data analytics.
Process automation.
Business analysis.
Reporting and visualization.
AI‑assisted software development.
Stakeholder management.
Problem solving.
Continuous improvement.
Documentation and governance.
Previous experience in insurance or asset management business functions, consulting, digital/tech is a plus.
Experience applying ChatGPT, Generative AI, and Ethical AI solutions.

Benefits

Flexible and hybrid work model.
Multinational and inclusive community.
Great career development and learning opportunities.
Company pension and health insurance.
Employee stock purchase program with a discount.
Health and well‑being offerings.
Supportive family care benefits.
Opportunity to contribute to sustainability programmes.
Great place to work certified.

Equal Opportunity Statement

We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.

Apply Before

Applications are reviewed on an ongoing basis. We reserve the right to withdraw the posting prior to the advertised closing date. Please apply as soon as possible.