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Company
AllianzPlace(s)
ParisIntern Quantitative Developer (f/m/d), Paris
Permanent
Assurance
Controlling / Finance
Published 1 day ago
Allianz
We are a strong global community connected by shared values, varied experiences, and a common goal — to grow with purpose. Our People Attributes reflect the values we live by and the mindset we bring to every challenge, every day.
We truly care for our employees, their individual needs, and their aspirations. We are a thriving community of thinkers, innovators, and individuals who share our purpose: We secure our future.
Tasks
- Work in the AllianzGI Paris office as a fully integrated member of the Insurance & Regulatory Strategies (IRS) team, responsible for managing insurance portfolios for Allianz Group entities and third-party insurance clients within the Fixed Income platform
- Collaborate closely with the Fixed Income Platform including Portfolio Managers, Credit Research, Trading as well as Technology and Data teams across AllianzGI to support the development of innovative investment solutions for insurance investors
- Play a key role in the development, enhancement and maintenance of the IRS Optimizer, AllianzGI’s proprietary portfolio construction and optimization framework, supporting investment decision-making, capital efficiency and portfolio monitoring for insurance mandates
- Support and contribute to the design and implementation of quantitative models, analytics and tools used for strategic asset allocation, portfolio construction, capital management (including Solvency II considerations), performance analysis and risk monitoring
- Support best practices in data management, data governance and analytical infrastructure across IRS and related investment teams
- Partner with Portfolio Managers on ad-hoc quantitative projects, portfolio analyses and client initiatives, including topics related to sustainability, ESG integration, regulatory constraints and insurance-specific investment objectives.
Profile
- University degree or equivalent qualification in Finance, Economics, Engineering, Data Science, Mathematics, Applied Mathematics, Computer Science or a related quantitative discipline
- Strong interest in financial markets, with knowledge of Fixed Income markets, insurance investing, and portfolio construction/optimization techniques considered an advantage
- Advanced programming skills in Python, including quantitative model development, data analytics, automation and development of user-facing applications
- Strong knowledge of databases, data architecture and SQL; experience with Bloomberg and other financial market data platforms is a plus
- Familiarity with Artificial Intelligence, Machine Learning and modern data science techniques
- Excellent analytical, quantitative and problem-solving skills, with the ability to translate complex concepts into practical investment solutions
- Strong communication and interpersonal skills, with the ability to collaborate effectively across investment, risk and technology teams in English and in French
- Demonstrated ability to work independently, take ownership, manage multiple priorities and deliver high-quality results in a dynamic environment
- Intellectual curiosity, innovative mindset and willingness to challenge existing processes to drive continuous improvement
- Collaborative team player with a high degree of integrity, reliability
- CFA, FRM, CAIA or progress towards such qualifications is a plus
- Ability to use Microsoft Copilot, with a strong commitment to ethical and responsible AI practices.
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