Allianz

1 week ago

Quantitative Solutions Analyst (f/m/d)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Develop and enhance portfolio construction, optimization, and risk management tools for equity portfolio managers. Partner with portfolio managers and quantitative researchers to convert investment ideas into actionable signals and production-ready analytics. Research and implement quantitative approaches for discretionary investing, build maintainable software components, and maintain scalable data pipelines for large structured and unstructured datasets. Communicate insights using advanced dashboarding and visualization tools, leveraging AI techniques to improve workflows.

Location: Frankfurt

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: Capital Markets, Trading & Quant

Seniority: Mid level

Key Responsibilities

•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 and production-ready analytical tools.
•Research, simulate, and implement quantitative approaches that improve discretionary equity portfolio management.
•Contribute to the team codebase by developing reusable, maintainable software components.
•Maintain scalable data pipelines and quantitative research infrastructure for large structured and unstructured financial datasets, using AI techniques and AI-assisted development tools.

Pay and Benefits

Perks:PensionChildcareEquity PurchaseHealth InsuranceBike LeasingLearning BudgetRelocation

Key Requirements

•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 in asset management).
•Strong understanding of equity portfolio construction, including portfolio optimization, risk model constraints, transaction cost models, and performance measurement.
•Excellent Python skills; experience with SQL and PySpark is highly desirable.
•Familiarity with cloud-based data platforms (e.g., Azure Databricks, Data Lake, Delta Tables) and modern software practices (version control, SDLC, CI/CD, containerization).

Experience:Quantitative researchSystematic investingPortfolio analyticsFinancial software developmentAsset management

Education:Master's in Computer Science, Mathematics, Physics, Engineering, Quantitative Finance, Statistics, or a related quantitative discipline

Skills:Analytical thinkingProblem-solvingCommunicationCollaborationService orientation

Languages:English

Tech Stack:PythonSQLPySparkAzure DatabricksData LakeDelta TablesVersion controlSDLCCI/CDContainerizationDashboardingVisualization

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

Website LinkedIn

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Allianz

1 week ago

Quantitative Solutions Analyst (f/m/d)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: Frankfurt

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: Capital Markets, Trading & Quant

Seniority: Mid level

Key Responsibilities

•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 and production-ready analytical tools.
•Research, simulate, and implement quantitative approaches that improve discretionary equity portfolio management.
•Contribute to the team codebase by developing reusable, maintainable software components.
•Maintain scalable data pipelines and quantitative research infrastructure for large structured and unstructured financial datasets, using AI techniques and AI-assisted development tools.

Pay and Benefits

Perks:PensionChildcareEquity PurchaseHealth InsuranceBike LeasingLearning BudgetRelocation

Key Requirements

•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 in asset management).
•Strong understanding of equity portfolio construction, including portfolio optimization, risk model constraints, transaction cost models, and performance measurement.
•Excellent Python skills; experience with SQL and PySpark is highly desirable.
•Familiarity with cloud-based data platforms (e.g., Azure Databricks, Data Lake, Delta Tables) and modern software practices (version control, SDLC, CI/CD, containerization).

Experience:Quantitative researchSystematic investingPortfolio analyticsFinancial software developmentAsset management

Education:Master's in Computer Science, Mathematics, Physics, Engineering, Quantitative Finance, Statistics, or a related quantitative discipline

Skills:Analytical thinkingProblem-solvingCommunicationCollaborationService orientation

Languages:English

Tech Stack:PythonSQLPySparkAzure DatabricksData LakeDelta TablesVersion controlSDLCCI/CDContainerizationDashboardingVisualization

Company Brief

Allianz

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

Website LinkedIn