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Daniel Kahraman

@danielkahraman

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Actuarial analyst leveraging programming and quantitative physics background to improve pension risk outcomes.

Germany

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What I'm looking for

I seek an actuarial role focused on pension valuation, automation, and risk analysis where I can apply programming skills and deliver clear, data-driven insights.

I am an actuarial analyst with a strong quantitative foundation from a Physics MSc and practical experience in pension valuation and risk assessment. I combine rigorous analytical methods with hands-on programming to deliver accurate, timely actuarial results.

At GBG-Consulting I accelerated onboarding, automated valuation workflows with VBA and C++, and improved compliance accuracy for HGB and IAS 19 obligations. My automation efforts cut processing time by half and strengthened year-end readiness under pressure.

During an internship at ERGO Group I built data-driven models that increased risk assessment and forecast precision by 30%, and automated reporting using Excel, VBA, SQL, and SAS to reduce manual work by 50%. I regularly produced targeted analyses for stakeholders including ratings teams and executive leadership.

I am fluent in German, English, and Turkish, studying actuarial certification (DAV) and CFA Level I, and I seek roles where rigorous analytics, automation, and clear stakeholder reporting drive better long-term liability and pension outcomes.

Experience

Work history, roles, and key accomplishments

Current

Pension Actuarial Analyst

Current

GBG-Consulting für betriebliche Altersversorgung GmbH

Sep 2024 - Present (1 year 3 months)

Accelerated onboarding and ensured year-end readiness; evaluated pension and benefit obligations under HGB and IAS 19 improving compliance accuracy by 30%. Automated valuation workflows with VBA and C++, reducing processing time by 50% and enabling stronger long-term liability risk assessments.

Actuarial Valuation IAS 19 HGB VBA C++Automation Sensitivity Analysis Pension Modeling

Actuarial Analyst

ERGO Group AG

May 2023 - May 2024 (1 year)

Built data-driven models that improved risk assessment accuracy by 30% and performed Soll-Ist analyses to optimize actuarial models, improving forecast precision for pension and biometric products by 30%. Automated reporting processes with Excel/VBA, SQL and SAS, cutting manual workload by 50%.

Excel VBA SQL SAS Risk Analysis Forecasting