Jan Schüler
Data & Software Engineer
Need help with your data-intensive project?
I support financial service providers with
- Data Engineering & Analytics
- Software Engineering
- Financial Applications
Benefit from my experience with financial data in Python, C++ and Oracle.
To discuss your specific needs, please feel free to contact me.
Services
Data Engineering & Analytics
- Data Warehousing
- Data Integration
- Data Modeling
- Business Intelligence
- Reporting Systems
- Dashboard Implementation
Software Engineering
- Web APIs & Microservices
- Cloud Migrations
- Backend Implementation
- Test Automation
- Process Automation
- Code Refactoring
Financial Applications
- Portfolio Analytics
- Derivative Analytics
- Market Risk
- Counterparty Risk
- Market Data Systems
- Regulatory Reporting
Skills
Programming
Python, C++, SQL, PL/SQL, JavaScript
Database Systems
Oracle, Microsoft SQL Server, PostgreSQL, Snowflake
Analytics
Pandas, NumPy, Dash, Plotly, Matplotlib, QuantLib, Jupyter
Web
Flask, FastAPI, OpenAPI, Vue.js, HTML, Bootstrap
Software Engineering
Test Automation, Clean Coding, Requirements Engineering, System Analysis, Design Patterns
Tools & DevOps
Git, Docker, Kubernetes, Jenkins, Grafana, Splunk, Datadog, Jira
Experience
Software Engineer
Freelancer | Energy Trading
Topics
- Refactoring, development and cloud migration of energy forcasting applications
- Development of connector libraries and API interfaces to trading databases
Business domain
- Quantitative forcasting of renewable energy production for energy trading
Technologies
- Python, Pandas, FastAPI, AWS, Snowflake, PostgreSQL
Software Engineer
Freelancer | Investment Management
Topics
- Web API development and cloud migration for a quantitative finance application
- Test automation, code modernization, API documentation
Business domain
- Quantitative valuation and stress testing of derivatives and bonds
Technologies
- Python, C++, Flask, FastAPI, Oracle, QuantLib
Business Intelligence Architect
Topics
- Implementation of a process scheduling solution for orchestrating and monitoring end-to-end market data flows from vendors to clients
- Project-driven data analysis, data visualization, data migration and automation
Business domain
- Launch of a market data system for several asset managers
Technologies
- Python, Oracle, SQL Server, PostgreSQL, JobScheduler
Financial Engineer
Topics
- Implementation of valuation routines in a quantitative finance framework
- Refactoring and automation of a counterparty risk analytics solution
- Requirement engineering with portfolio managers and risk managers
Business domain
- Derivatives valuation, counterparty credit risk, collateral management
Technologies
- C++, QuantLib, Oracle, PL/SQL, Python
Data Warehouse Developer
Topics
- Data warehouse development for performance and risk measurement
- Integration of heterogeneous data sources, data quality automations
Business domain
- Factsheet reporting of investment funds
Technologies
- Oracle, PL/SQL, Informatica Powercenter
Certifications
Oracle Certified Professional
Advanced PL/SQL Developer
Informatica Certified Professional
PowerCenter Data Integration Developer
