Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. 

As a Credit Risk Associate within the Risk Management team, you will play a pivotal role in supporting the firm's growth by proactively identifying, assessing, and managing emerging risks. Your expertise in high-quality credit analysis and statistical model development will be crucial in estimating, monitoring and managing credit risk for TCIO’s (Treasury and Chief Investment Office) fixed income portfolio, which encompasses a diverse range of securitized and non-securitized asset classes. 

 

Job responsibilities 

Conduct comprehensive credit analysis and develop quantitative models to forecast credit losses for TCIO's fixed income investments  Perform in-depth credit analysis for various TCIO investments across the fixed income spectrum. Engage with senior members of TCIO Credit Risk and the Portfolio Management teams to complete risk analysis, present conclusions and facilitate timely investment approvals  Develop statistically robust models to forecast credit losses for the fixed income investment portfolio, by incorporating insights from new research in the credit risk domain and enhancing existing methodology  Work alongside senior team members on product specific analysis required to support risk discussions, including preparation and delivery of analytical presentations for various Senior Risk forums  Support the model validation team by addressing queries and ensuring models meet regulatory requirements and are fit for use  Mentor and train junior team members and colleagues, sharing best modeling practices and domain knowledge  Partner with the Front Office, Finance, Valuation Control Group, Model Review Group, Policy, Finance, Technology and Middle Office for other ongoing projects, thus contributing to continued build-out of the TCIO Credit Risk franchise 

Required qualifications, capabilities, and skills 

 

3-6 years of relevant work experience in credit risk management within a financial organization or credit rating agency  Proficiency in statistical modeling techniques, including multivariate regression, time series analysis, panel data analysis, logistic regression, and machine learning algorithms  A strong academic background, with a minimum of a bachelor's degree in a technical or quantitative field such as Engineering, Economics or Finance  Strong analytical background with sound understanding of financial statements, including ratio analysis, cash flow analysis, and fundamental knowledge of key accounting standard  Excellent verbal and written communication skills, with an ability to deliver effective presentations to senior management  Candidate must be able to lead, multitask and thrive in a fast-paced environment managing multiple ad-hoc analytical requests and prioritize work accordingly 

Preferred qualifications, capabilities, and skills 

Knowledge of regulatory modeling (CECL / CCAR /IFRS9) 

Proficiency in advanced analytical languages such as Python, R