Test Manager and Software/Hardware Tester

• Development of regression models that estimate default rates in different countries from macroeconomic factors
• Analysis and preparation of various available macroeconomic data and time series
• Development of adequacy analysis for using Expected Default Frequencies (EDFs)
• Creation of interactive dashboards with Tableau
• Writing development documentation

Technologies: R, Tableau

• Analysis and further development: Conducting detailed analyses of existing systems and further development of applications to improve bank processes
• Programming: Development, creation and continuation of programs and scripts using SAS, Python and SQL
• Results discussions: Regular discussion and coordination of results with departments
• Documentation: Careful documentation of results and developed programs

Technologies: SAS Host, SQL, Mainframe Host, DB2, Jira, Confluence, Agile, Unix, Azure, GitLab, Jenkins, Snowflake, Artifact Manager, SQL-Developer, Python, Terraform, JUnit, Kubernetes

• Programming: Development and continuation of programs for data processing and analysis using SAS and SQL
• Test execution: Conducting tests to ensure functionality and accuracy of developed programs
• Documentation: Careful documentation of test results and developed programs

Technologies: SAS, SQL, Mainframe Host, Snowflake, DB2, Jira, Confluence, zOS, Unix, DBvisualizer, WinSCP, PuTTY, Agile

• Creation and continuation of test plan: Development and continuous updating of test plan
• Test approach coordination: Description of test approach in test plan and coordination with project managers
• Consulting and coordination: Consulting on coordination and review of test activities
• Test object execution: Organization and execution of tests for various test objects
• Test case creation coordination: Consulting and support in creation and management of test cases
• Collaboration with project management: Close coordination with project managers and quality officers
• Test automation: Expansion and implementation of test automation
• Requirements definition for test infrastructure: Definition of requirements for test infrastructure
• Test data provision consulting: Support in provision and management of test data

Technologies: FitNesse, Aqua, BitBucket, BAP, Kafka, Angular, Postman, Jira, Confluence, Agile

• Tool development for population stability: Analysis and development of a tool for monitoring customer population stability
• Risk parameter analysis: Conducting detailed analyses of risk parameters
• Development of test statistics processes: Development and implementation of processes for test statistics

Technologies: SAS Base, SAS Enterprise Guide, Oracle

Business Analyst:

• Analysis and coordination: Collaboration with departments for Guide Wire Center concept analysis
• Review and acceptance: Review and acceptance of IT concepts
• Interface analysis: Analysis of interfaces between business requirements and IT concepts

Data Engineer:

• Creation of data processing concepts: Development of data processing concepts
• ETL development: Implementation of ETL processes in SAS DDS DI Studio
• Operational systems usage: Use of Guide Wire System
• Job workflows in Automic: Implementation of developed SAS DI jobs
• Test management support: Support of test management
• Report creation: Creation and maintenance of reports

Technologies: SAS DI Studio, SAS E-Guide, Automic, DB2, Jira, Confluence, Agile, Erwin Data Modeler, Tableau

• Strategic analysis and scorecards: Conducting strategic analyses and development of scorecards
• Data analysis and technical conception: Analysis of technical concepts and data
• Statistical analysis and logic development: Development of logic for behavioral scores
• Credit card limit analysis: Analysis and decision on credit card limits
• Development team management: Management and coordination of development team
• Monitoring strategies: Implementation and monitoring of strategic analyses
• Data science and campaign management: Management of data science analyses and campaigns
• Strategy tests: Execution of A/B tests and champion/challenger tests
• Automated and manual tests: Creation and execution of automated regression tests
• Debugging and automation: Identification and fixing of process errors
• Development and testing: Development and testing of new software applications

Technologies: Python, Pandas, Numpy, Tensorflow, SAS Base, SAS Macro, SAS Enterprise Guide, R, ServiceNow, JavaScript, HTML, Vue.js, Bootstrap, CSS, JIRA, SCRUM, Confluence, Bash Script, UNIX, Linux, QC, Microsoft Office, PL/SQL, SharePoint, ALM, Selenium, MS Azure, Oracle

• Data warehouse specification and conception: Development of specifications and conception of data warehouse system
• Statistical analysis and evaluation: Conducting statistical analyses
• Scorecard adaptation and modeling: Adaptation of existing and modeling of new scorecards
• Compliance mart migration: Migration of compliance mart
• DWH modeling and testing: Modeling and testing of data warehouses
• ETL processes: Conception and implementation of ETL processes
• Process adaptation and enhancement: Adaptation and enhancement of existing processes
• Technical concept implementation: Translation of business concepts into technical concepts
• Job control development: Development of job controls with Control M
• Money laundering prevention tools: Development of tools according to BaFin requirements

Technologies: SAS Base, SAS Macro, DI-Studio, SAS Enterprise Guide, Oracle PL/SQL, Unix QC, Bash Script, ALM, OSPlus SharePoint

• Modeling for disclosure and impairment: Development of models for disclosure and impairment evaluation
• Software development: Development of software solutions for credit risk management
• DWH process testing: Comprehensive testing of data warehouse process software
• Development for Credit Value at Risk: Modeling and implementation of methods
• Exposure calculation and rating: Calculation of credit risks and rating models
• BI and DWH system implementation: Implementation of business intelligence systems
• Credit risk reporting automation: Automation of reporting processes
• Statistical model analysis and implementation: Development of statistical models
• Development tasks in finance and pharma: Implementation of selected development tasks
• ETL process for data warehouse: Implementation of ETL processes
• OLAP prototype development: Development of prototype for credit risk reporting
• Database solutions: Specification and conception of database solutions
• Movement data historization: Historization and versioning of movement data

Technologies: UML, Microsoft Visio, C++, SAS Base 9.3, SAS E-Guide, Unix, Linux, Java, Pentaho, Saiku, SAS DI Studio, MS Visio, R, ALM

Master Thesis:

• Topic: Prediction of citation frequencies of medical publications
• Description: Development and application of statistical models

Seminar:

• Topic: ROC curve for logical rules
• Description: Analysis and interpretation of ROC curve

Descriptive Data Analysis:

• Sleep behavior of mammals
• Calcium, inorganic phosphorus and alkaline phosphatase in over 65-year-olds
• Impact of safety systems on head injuries in car accidents
• Correlation between social ranks of sons and fathers
• Development of a price model for diamonds
• Connection between smoking and lung cancer
• Credit application decision using tree-based classification
• Meta-analysis for breast cancer patients
• Time series analysis prediction

Technologies: SAS, R, Rapid Miner, SQL, SPSS, C++, Oracle, Linux, Java