Allianz

1 week ago

Intern Risk Manager (f/m/d) (Frankfurt, DE, 60323)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Support the Liquidity & ESG Risk team by maintaining liquidity monitoring processes, contributing to market and credit risk monitoring (including VaR and Credit VaR), and supporting ESG risk monitoring such as BoE stress test and ESG screening reports. Help review and update climate stress test scenario methodologies and enhance liquidity analytics models. Explore risk analytics use cases for AI-assisted reporting automation and knowledge retrieval.

Location: Frankfurt

Workplace: Onsite

Employment Type: Temporary

Job Function: Legal, Risk & Compliance

Seniority: Intern level

Key Responsibilities

•Maintain and enhance liquidity risk monitoring, including daily net cash flow monitoring, monthly large client concentration monitoring, and monthly liquidity stress testing monitoring.
•Contribute to market and credit risk monitoring, including VaR, leverage, and Credit VaR analyses.
•Support ESG risk monitoring processes, including BoE stress test reports and ESG risk screening reports.
•Participate in the review and update of climate change stress test scenario methodologies.
•Enhance the MSCI LMX Liquidity Metrics model and explore AI- and data-analytics-based use cases for risk analytics, reporting automation, and knowledge retrieval.

Pay and Benefits

Perks:Health InsuranceMobility SolutionsCanteen SubsidyCorporate Benefits

Key Requirements

•Currently pursuing a master’s or university degree in computer science, business administration, applied mathematics, finance, or a related discipline with a quantitative/financial background.
•Strong interest in artificial intelligence, machine learning, and generative AI, with the ability to identify practical risk-analytics and reporting automation use cases.
•Practical knowledge of Python and SQL; exposure to data analytics and machine learning libraries, plus prompt engineering and enterprise AI tools is advantageous.
•Passion for quantitative analyses, automation, and asset management, with an eagerness to get involved in risk management.
•Good written and verbal communication skills, including stakeholder management and collaboration in a team setting.

Experience:Risk managementAsset managementQuantitative analyticsESG riskLiquidity risk

Education:Master's in computer science, business administration, applied mathematics, finance

Skills:TeamworkTask prioritizationFlexible workingCommunicationStakeholder management

Languages:English

Tech Stack:PythonSQLMachine learningGenerative AIPrompt engineeringMicrosoft Copilot

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

Intern Risk Manager (f/m/d) (Frankfurt, DE, 60323)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: Frankfurt

Workplace: Onsite

Employment Type: Temporary

Job Function: Legal, Risk & Compliance

Seniority: Intern level

Key Responsibilities

•Maintain and enhance liquidity risk monitoring, including daily net cash flow monitoring, monthly large client concentration monitoring, and monthly liquidity stress testing monitoring.
•Contribute to market and credit risk monitoring, including VaR, leverage, and Credit VaR analyses.
•Support ESG risk monitoring processes, including BoE stress test reports and ESG risk screening reports.
•Participate in the review and update of climate change stress test scenario methodologies.
•Enhance the MSCI LMX Liquidity Metrics model and explore AI- and data-analytics-based use cases for risk analytics, reporting automation, and knowledge retrieval.

Pay and Benefits

Perks:Health InsuranceMobility SolutionsCanteen SubsidyCorporate Benefits

Key Requirements

•Currently pursuing a master’s or university degree in computer science, business administration, applied mathematics, finance, or a related discipline with a quantitative/financial background.
•Strong interest in artificial intelligence, machine learning, and generative AI, with the ability to identify practical risk-analytics and reporting automation use cases.
•Practical knowledge of Python and SQL; exposure to data analytics and machine learning libraries, plus prompt engineering and enterprise AI tools is advantageous.
•Passion for quantitative analyses, automation, and asset management, with an eagerness to get involved in risk management.
•Good written and verbal communication skills, including stakeholder management and collaboration in a team setting.

Experience:Risk managementAsset managementQuantitative analyticsESG riskLiquidity risk

Education:Master's in computer science, business administration, applied mathematics, finance

Skills:TeamworkTask prioritizationFlexible workingCommunicationStakeholder management

Languages:English

Tech Stack:PythonSQLMachine learningGenerative AIPrompt engineeringMicrosoft Copilot

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