Quantitative Analyst

Job Description

Role & responsibilities Develop, support, and enhance statistical models to predict the risk of credit downgrade and default. Apply expertise in Fixed Income / Credit Risk, including Probability of Default (PD), Loss Given Default (LGD), and other credit risk measures. Analyse and interpret financial instruments, derivatives, and portfolio management principles to improve risk assessment. Utilize Python, SQL, and Excel to work on large datasets, extract insights, and automate data processing workflows. Develop automated processes and tools to improve efficiency and accuracy in data production and risk modelling. Lead Bottom-Up Data Production processes, ensuring effective planning, monitoring, and timely completion of deliverables. Collaborate with key stakeholders including Deal Teams, Execution, Technology, and Risk Reporting to enhance the Quant Credit Infrastructure. Utilize SQL to extract and manipulate data from large-scale databases, ensuring data integrity and accuracy. Manage and optimize project workflows using Asana/JIRA and other project management tools. Preferred candidate profile 5+ years of experience in a project/process management team within the finance domain. Strong knowledge of corporate accounting concepts and financial reporting. Solid understanding of credit risk concepts and downgrade risk assessment. Advanced proficiency in Microsoft Office (Excel, PowerPoint); VBA is a plus. Proven ability to implement Spreading Policy in corporate financials, particularly in SIP and Direct Lending. Strong organizational and analytical problem-solving skills. High attention to detail and persistence in ensuring data quality. Ability to work autonomously with minimal supervision. Intermediate/Advanced SQL skills for database management and data extraction. Python proficiency for automation and model development. Experience in project management tools like Asana, JIRA. Strong academic background with a business-related degree (MBA preferred) CFA certification is a plus.