Rahim Huseyinsoy

Managing systems, products and dashboards. Managing solution calculating total company FX exposure for better currency hedging. Supporting business and credit controllers group-wise with Power BI dashboard/data requirements for better credit risk decision-making. Responsible for development of solutions to create further transparency on margin analysis with AI features.

Built company-wise reporting and analytics platform centralizing reporting resources in single BI reporting hub. Managed and developed company-wise credit risk management BI solution serving 200+ monthly users across all Henkel regions. Managed and delivered ad-hoc reporting requirements improving CNWC transparency from AR perspective.

Assumed both Europe regional and Belgium/Netherlands local credit and liquidity risk manager responsibility. Optimized Order-to-cash projects which reduced blocked customer orders while safeguarding CNWC. Simplified customer promotion/deductions portfolio to setup sustainable P&L and provisions management.

» Traded financial instruments daily » Supported FX exposure controlling and visualized data » Automated pricing activities with application of Power Queries

» Grade: 1.7 » Master thesis on “Customer Credit Risk Assessment with Machine Learning Models” » Gathered and analyzed a large set of financial data of private firms via various databases » Developed and tested ML models for risk mitigation on bankruptcy prediction (in R language)

» Contributed to global OTC projects » Initiated a project aimed at reducing blocked orders accumulation » Set up solutions for data collection & process automation

» Supported the University Chair on relevant data collection » Contributed to an ongoing research by carrying out data analytics

» Grade: 1,9 » Applications of software in stat. & data analysis including Stata, R, Excel, Bloomberg Terminal » Modules: Advanced Econometrics, Statistics of Financial Markets, Financial Statement Analysis, Options, Futures, Advanced Topics in Finance, Interest Rate and Derivatives etc.

» Studied with Full Scholarship » Grade: Second Class classification » Important modules including Portfolio Theory, Financial Markets, Corporate Finance, Managerial Finance, Financial Accounting, Management Accounting, Statistics and Econometrics etc.