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Tier-1 brand, metro location, mid-level generalist quant role attracts many qualified applicants.
Strong finance modelling, regulatory and validation focus limits cross-industry transferability.
Explicit 4+ years, finance modelling, Python/R/SAS, SQL, and testing requirements create strict technical and domain filters.
Lead or support moderately complex model maintenance, optimization, testing, and documentation initiatives to ensure compliance and efficiency.
Analyze data sets and quantitative model outputs to validate performance supporting business goals.
Develop automation frameworks and collaborate with teams to resolve issues and meet project deliverables in finance/credit modeling contexts.
4+ years in quantitative solutions engineering, model solutions or quantitative model operations experience.
Experience with Python, R, or SAS and Excel for data analysis and modeling.
Proven knowledge of finance/credit/banking modeling and relevant SDLC processes.
Work Experience Required: 4+ years relevant experience explicitly stated.
Experienced in data engineering, model testing automation (e.g., Pytest/Selenium), and data visualization tools such as PowerBI/Tableau/Qlikview.
Comfortable handling large datasets and performing SQL database testing and queries.
Adept at navigating complex organizational environments and collaborating with global teams, especially finance/credit modeling groups.