Quantitative Solutions Analyst (f/m/d)

The Active Engineering Equity (AEE) team combines quantitative research, portfolio construction expertise, and modern technology to enhance the investment process for Equity portfolio managers. Working at the intersection of Fundamental and Systematic Equities, the team develops quantitative methodologies, portfolio construction capabilities, and analytical tools that complement discretionary investing. This role offers the opportunity to leverage quantitative research, software engineering, and AI‑enabled technologies to solve real‑world investment challenges and help shape the next generation of quantamental investing.

What You Will Do

• Design, develop, and enhance portfolio construction, optimization, and risk management tools for active equity portfolio managers.
• Collaborate with portfolio managers and quantitative researchers to translate investment ideas into actionable signals, robust investment processes, and production‑ready analytical tools.
• Research, simulate, and implement quantitative approaches that enhance discretionary equity portfolio management.
• Actively contribute to the team's codebase by developing high‑quality, reusable, and maintainable software components.
• Present results clearly, tailoring the message to different stakeholder audiences and leveraging state‑of‑the‑art dashboarding and visualization tools to communicate insights effectively.
• Maintain and enhance scalable data pipelines and quantitative research infrastructure for large, structured and unstructured financial datasets.
• Explore and leverage AI techniques and AI‑assisted development tools to enhance research workflows, investment processes, and software development.
• Collaborate closely with Fundamental Equity portfolio managers and Systematic Equity researchers to integrate quantitative insights into discretionary investment processes.

What You Bring

Education & Experience

• Master's degree or PhD in Computer Science, Mathematics, Physics, Engineering, Quantitative Finance, Statistics, or a related quantitative discipline.
• Professional experience in quantitative research, systematic investing, portfolio analytics, or financial software development, preferably within an asset management environment.

Quantitative & Investment Knowledge

• Strong quantitative background with a demonstrated interest in financial markets.
• Deep understanding of equity portfolio construction principles, including portfolio optimization, risk model constraints, transaction cost models, and performance measurement.
• Familiarity with systematic equity investing, asset pricing, and factor investing is highly desirable.
• Experience working with standard financial datasets (e.g., Worldscope, IBES) as well as alternative (unstructured) datasets.

Software Engineering & Data

• Excellent Python programming skills; experience with SQL and PySpark is highly desirable.
• Experience building modular, well‑tested, and maintainable software suitable for both research and production environments.
• Familiarity with cloud‑based data platforms (preferably Azure Databricks, Data Lake, and Delta Tables) and modern software development practices, including version control, SDLC, CI/CD, and containerization.
• Experience working with large‑scale financial datasets and data engineering workflows.
• Experience with Data Analytics, AI and Machine Learning, Prompt Engineering, Data Science.

Personal Skills

• Strong analytical and problem‑solving capabilities, with a structured and pragmatic approach.
• Curiosity and enthusiasm for combining quantitative methods with practical investment applications.
• Excellent communication skills, with the ability to explain complex quantitative concepts to diverse audiences.
• Collaborative mindset, strong service orientation, and the ability to work effectively across quantitative and fundamental investment teams.
• Proficiency in English both speaking and writing.

What We Offer

• We empower our employees by ensuring flexible work arrangements that maintain a balance between performance, productivity, career development and personal priorities (e.g., hybrid model/ flexible working hours).
• Securing your future: Access to company pension/savings plans.
• Family support (relocation/ childcare facilities).
• Company share purchasing plan.
• Mental health and wellbeing programs.
• Mobility solutions (Jobrad bike leasing, subvention Jobticket).
• Career opportunities within the entire Allianz Group.
• Self‑guided learning & development.
• … and so much more!

EEO 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.