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

Allianz
Frankfurt
Workplace: OnsiteFull timeFunction: Capital Markets, Trading & QuantExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Collaboration","Ownership","Agile mindset","Written and spoken English"]

Build and deliver scalable data and backend solutions for multi-asset investment research, portfolio management, analytics, and AI-enabled use cases. Collaborate with portfolio management and investment teams to translate requirements into production-grade systems, including robust backtesting/simulation frameworks, data ingestion and model-ready pipelines, and APIs for data products and platform services. Contribute to technical design for data-intensive, secure, and compliant platforms while integrating AI/ML for feature engineering and signal extraction.

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FursaFursa
Allianz
Allianz
2 days ago

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

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Build and deliver scalable data and backend solutions for multi-asset investment research, portfolio management, analytics, and AI-enabled use cases. Collaborate with portfolio management and investment teams to translate requirements into production-grade systems, including robust backtesting/simulation frameworks, data ingestion and model-ready pipelines, and APIs for data products and platform services. Contribute to technical design for data-intensive, secure, and compliant platforms while integrating AI/ML for feature engineering and signal extraction.
Location: Frankfurt
Workplace: Onsite
Employment Type: Full time · Permanent
Job Function: Capital Markets, Trading & Quant
Seniority: Mid level

Key Responsibilities

  • •Collaborate with senior PMs on portfolio construction, optimization, and rebalancing frameworks.
  • •Translate business and data requirements into scalable solutions with investment teams, analysts, and architects.
  • •Implement and enhance backtesting and simulation frameworks for multi-asset and derivative strategies with real-world constraints.
  • •Bring research models into production-grade investment and risk systems.
  • •Design and manage end-to-end applications and large-scale financial/alternative data pipelines, including APIs and monitoring for data products and platform services.

Pay and Benefits

Perks:Pension SavingsChildcareShare PurchasingHealth InsuranceLearning BudgetBike LeasingJobticketRelocation

Key Requirements

  • •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 and global markets.
  • •Knowledge of econometrics and statistical modeling.
  • •Hands-on experience developing and operating production-grade solutions in Python with strong SQL and data modeling skills.
Experience:5+ yearsPortfolio managementData engineeringBackend engineeringQuantitative developmentQuantitative researchInvestment management
Education:Bachelor's
Skills:CommunicationCollaborationOwnershipAgile mindsetWritten and spoken English
Languages:English
Tech Stack:PythonSQLGitGitHubGitLabJiraDockerKubernetesAPIsData pipelinesData platformsAIGenAIMachine LearningFeature engineeringBacktestingSimulationAnalyticsData ingestion

Company Brief

Allianz
Global insurance and financial services group offering property-casualty insurance, life and health insurance, asset management, and corporate risk solutions to individuals, businesses, and institutions across more than 70 countries.
Industry: Insurance
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Munich, Germany
Founded: 1890
WebsiteLinkedIn