Intern Quantitative Developer

Allianz

. Support the Insurance and Regulatory Strategies team in developing quantitative solutions, analytics and portfolio optimization tools .

Posted 9/15/2026internshipParis • FranceEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantitative model development, data analytics, and portfolio optimization within financial markets, particularly in Fixed Income and insurance investing. Proficient in collaborating across teams to deliver innovative solutions while adhering to ethical AI practices.

Highest-signal resume keywords

Quantitative Model DevelopmentAdvanced Python ProgrammingData Analytics and SQLPortfolio Construction and OptimizationFinancial Market Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative Model DevelopmentData AnalyticsPortfolio Optimization TechniquesAdvanced Python ProgrammingSQL Database ManagementData ArchitectureArtificial IntelligenceMachine LearningFinancial Market AnalysisRisk Monitoring

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication SkillsInterpersonal SkillsCollaborative Team Player

Tools & Technologies

BloombergMicrosoft CopilotFinancial Market Data Platforms

Certifications & Qualifications

CFAFRMCAIA

Industry Keywords

Insurance InvestingFixed Income MarketsPortfolio ConstructionData GovernanceSustainabilityESG Integration

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Support the Insurance and Regulatory Strategies team in developing quantitative solutions, analytics and portfolio optimization tools
Work in the AllianzGI Paris office as an integrated member of the Insurance & Regulatory Strategies team
Collaborate with Portfolio Managers, Credit Research, Trading, Technology and Data teams across AllianzGI
Develop, enhance and maintain the IRS Optimizer, AllianzGI’s proprietary portfolio construction and optimization framework
Support the design and implementation of quantitative models, analytics and tools for strategic asset allocation, portfolio construction, capital management, performance analysis and risk monitoring
Support data management, data governance and analytical infrastructure best practices
Partner with Portfolio Managers on ad-hoc quantitative projects, portfolio analyses and client initiatives involving sustainability, ESG integration, regulatory constraints and insurance-specific investment objectives

Requirements

What you’ll need

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; 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
Strong communication and interpersonal skills
Ability to collaborate effectively across investment, risk and technology teams in English and in French
Ability to work independently, take ownership, manage multiple priorities and deliver high-quality results
Intellectual curiosity, innovative mindset and willingness to challenge existing processes
Collaborative team player with a high degree of integrity and 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

Benefits

Comp & perks

Balanced work environment with flexibility and collaboration
Mental health and wellbeing programs
Career opportunities within the entire Allianz Group
Comprehensive learning and development offerings, including certifications and professional qualifications