Senior Quant Engineer Investment Platform (f/m/d)

Allianz Global Investors GmbH; Frankfurt; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Company pension/savings plans

Relocation/ childcare facilities

Employee share purchase plan

Mental health and wellbeing programs

Jobrad bike leasing

Zusammenfassung

Allianz Global Investors GmbH is seeking a Senior Quant Engineer (f/m/d) in Frankfurt to advance multi-asset investment technology.

You will design scalable data platforms, pipelines, and backend services, bridging portfolio management, analytics, and AI-enabled use cases in a fast-paced, production environment.

Qualifikationen

• 5+ years of experience in data engineering, backend engineering, quantitative development/research, and/or portfolio management.
• University degree in Computer Science, Finance, Mathematics, Physics, Engineering, or a related quantitative discipline.
• Good understanding of portfolio construction in a multi-asset context and global markets.
• Knowledge of econometrics and statistical modeling.
• Hands-on experience with Python development and production-grade systems.

Aufgaben

• Collaborate with senior PMs on portfolio construction, optimization, and rebalancing frameworks.
• Translate business and data requirements into scalable solutions with investment teams.
• Develop backtesting and simulation frameworks for multi-asset strategies.
• Bring research models into production-grade risk and investment systems.
• Design end-to-end data pipelines and APIs for data products and platform services.

Kenntnisse

Data engineering

Backend engineering

Quantitative development

Portfolio management

Python

SQL

Git/GitHub/GitLab

Docker

Kubernetes

AI/ML

Ausbildung

University degree in Computer Science, Finance, Mathematics, Physics, Engineering, or a related quantitative discipline

Tools

Docker

Kubernetes

Git

GitHub/GitLab

Jira

Jobbeschreibung

Allianz Global Investors is a leading active asset manager, managing assets for individuals, families,and institutions worldwide. Our shared goal to shape a future of opportunity for our clients is foundational to our culture and our values. We look to attract, and actively nurture, individuals with the drive to achieve excellence at every stage of the investment experience.

We believe an inclusive culture is key to a flourishing workforce. Not only do we celebrate the broad range of experiences, backgrounds, and attributes that our workforce brings, but we support our people to live and work in a way that promotes their own wellbeing.

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer.

We are united by a shared commitment: to put our clients first and at the centre of everything we do. Their needs inspire our thinking and guide our actions.

Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future - for our clients and for the world around us. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture.

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.

105560 | Data & AI | Professional | n.a. | Allianz Global Investors | Full-Time | Permanent

At Allianz Global Investors, we are shaping the future of investment management through technology, data, and innovation. To support this journey, we are looking for a forward-thinking and results-oriented Senior Quant Engineer (f/m/d) to join our Multi Asset Investment team in Frankfurt and enhance our Multi Asset strategies and systems.

In this role, you will help design and deliver scalable solutions that empower investment research, portfolio management, analytics, and AI-enabled use cases across our global Portfolio Management function. You will play a key role in advancing our data-driven investment processes by building robust data platforms, pipelines, and backend services in a modern, agile environment.

This role sits at the intersection of portfolio management, end-to-end quantitative system development, and IT. It is an exciting opportunity to take ownership from day one and contribute to a meaningful transformation of the investment management industry.

Technology is a critical differentiator in creating future-proof and competitive investment capabilities, and you will have the opportunity to shape solutions that make a real impact.

What you will do

• Collaborate closely with senior PMs on portfolio construction, optimization, and rebalancing frameworks.
• Work closely with investment teams, analysts, and architects to translate business and data requirements into scalable solutions.
• Implement and enhance scalable, modular backtesting and simulation frameworks for multi-asset and derivative strategies, incorporating real-world implementation constraints.
• Bring research models into production-grade investment and risk systems.
• Design and maintain end-to-end applications (including data ingestion, signal creation, portfolio construction, risk analysis, and monitoring).
• Design and manage large-scale financial and alternative data pipelines, transforming raw data into high-quality, model-ready datasets for specific investment use cases.
• Build and maintain backend components and APIs that provide reliable access to data products and platform services.
• Contribute to technical design decisions for data-intensive systems, ensuring scalability, performance, security, and compliance.
• Integrate AI/ML-driven approaches for feature engineering, signal extraction, and pattern recognition across macroeconomic and cross-asset datasets.

What you bring

• 5+ years of experience in data engineering, backend engineering, quantitative development/research, and/or portfolio management.
• University degree in Computer Science, Finance, Mathematics, Physics, Engineering, or a related quantitative discipline.
• Good understanding of portfolio construction, preferably in a multi-asset context, core asset classes, and global markets.
• Good understanding of financial markets, futures (rates, equity indices, and commodities), and options (including delta, gamma, convexity, and implied volatility concepts).
• Knowledge of econometrics and statistical modeling.
• Hands-on experience in developing, deploying, and operating production-grade solutions in Python.
• Strong SQL and data modeling skills.
• Hands-on experience with data pipelines and data platforms.
• Familiarity with modern SDLC tools such as Git, GitHub/GitLab, and Jira; experience with Docker and Kubernetes is a plus.
• Exposure to AI, GenAI, and ML-enabled solutions is an advantage.
• Strong communication skills, with the ability to clearly articulate technical concepts to PMs and business requirements to engineering and platform teams.
• Strong written and spoken English skills.
• Agile mindset, collaborative working style, and a high level of ownership.
• Experience with AI and Machine Learning, Data Analytics, Data Integration, DevOps Technologies, Data Science.

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!