Senior Analyst, Quantitative Modeling

Responsibilities:

• 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;
• Work together with senior members of Methodologies and Ratings Technology to ensure that our models and tools are reliable, operational, performant, and meet business requirements;
• Create applications and dashboards that utilize models, tools, and data for use across the organization;
• Synthesize and analyze large datasets to derive analytic value and insights for credit rating analyses and research publications;
• Focus on identifying areas for new, creative solutions and continuous improvement;
• Provide insight to the team in solving 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 collaboratively with senior model and criteria SMEs within the group;
• 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; and Support criteria projects and be an active member of projects including developing tools, testing of new concepts, data gathering, writing, and preparation of materials.

Requirements:

• Bachelor's Degree in Finance, Financial Engineering, Statistics, Quantitative Finance, Computer Science, Mathematics, Economics, or a related field;
• 3+ years relevant work experience
• Knowledge of capital markets (preferably Structured Finance), financial instruments with an emphasis on credit risk modeling are preferred;
• Basic understanding of database modeling/design and applications. Knowledge of SQL and experience in databases such as Oracle, Sybase, or Access would be beneficial;
• Proficiency in excel/VBA and programming languages: R/R Shiny (required), Python and C++;
• Displays well-rounded communication skills that implement good listening techniques, and strong verbal skills with the ability to communicate across a wide range of groups and personalities internally and externally; and Works well in a team environment, focusing on collaboration, and adapting to the needs of a diverse team.

Preferred Qualifications

• Masters Degree or advanced degree preferred;
• Knowledge of financial or credit risk modeling preferred;
• Proficiency in R language and the creation of shiny applications and dashboards.
• Persistent with a natural curiosity about credit markets and technical details.