- Develop and maintain nimble, user-friendly quantitative solutions and tools that will be used by credit analysts globally in credit rating analyses and research publications.
- Synthesize and analyze large datasets to derive analytic value and insights for credit rating analyses and research publications.
- Proactively identify and implement creative solutions to drive continuous improvement across models and analytical workflows.
- Provide analytical insight and technical guidance to help the team resolve complex, non-routine problems and tasks.
- Maintain close interaction with analysts, model developers, and subject matter experts to ensure that data analyses and tools effectively inform analytical decisions.
- Work closely with the Model and Criteria Validation group to ensure a high-quality product.
- Write clear, concise specifications and development documentation to ensure consistent and thorough documentation in accordance with policy and procedures.
- Support criteria projects and be an active member of projects, including testing of new concepts, data gathering, writing and preparation of materials.
- Coach and guide junior developers on technical tasks and best practices; support criteria projects by assisting with tool development, testing, and data gathering.
Requirements
- 5 to 7 years of experience in quantitative modeling or software development supporting financial analysis.
- Knowledge of capital markets and financial instruments, with an emphasis on credit risk modeling preferred.
- Basic understanding of database modeling/design and applications, including knowledge of SQL and experience in databases such as Oracle, Sybase, or Access.
- Proficiency in Microsoft Excel/VBA and programming languages such as R, Python, C++, and MATLAB.
- Persistent with a natural curiosity about credit markets and technical details.
- Displays well-rounded communication skills that implement good listening techniques, clear and good verbal skills.
- The ability to communicate across a wide range of groups and personalities internally and externally.
- Works well in a team environment, focusing on collaboration and adapting to the needs of a diverse team.
Core Competencies
Demonstrates expertise in quantitative modeling and software development for financial analysis, with proficiency in SQL, R, Python, C++, and MATLAB. Strong communication skills facilitate collaboration with diverse teams and stakeholders in credit risk modeling and analysis.
Highest-signal resume keywords
- Quantitative Modeling
- SQL Database Knowledge
- Microsoft Excel/VBA Proficiency
- R Programming
- Credit Risk Modeling
ATS Optimization Keywords
Hard Skills
- Quantitative Modeling
- SQL
- R
- Python
- C++
- MATLAB
- Microsoft Excel
- VBA
- Database Design
- Data Analysis
Soft Skills
- Communication Skills
- Team Collaboration
- Problem-Solving
- Coaching
- Adaptability
Industry Keywords
- Credit Risk Modeling
- Financial Analysis
- Capital Markets
- Analytical Workflows
- Research Publications
Tools & Technologies
- Oracle
- Sybase
- Access