VP, Quantitative Analytics Lead Analyst, QA BI Financial Modeling

at Barclays Bank Delaware in Wilmington, Delaware, United States

Job Description

Barclays Services Corp. seeks a VP, Quantitative Analytics Lead Analyst, QA BI Financial Modeling for its 125 S West St., Wilmington, DE 19801 location.

Duties: On behalf of a global financial services organization, develop and apply mathematical algorithms and statistical theories to collect, organize, interpret, and summarize numerical data to perform financial modeling for stress testing purposes. Lead full lifecycle development of statistical models, including project design, data preparation, segmentation, data analysis, model governance requirements, model implementation, and model monitoring. Develop and deliver highly technical and mathematical predictive models, score implementations, statistical analyses, optimization procedures, monitoring processes, and data quality analyses to support Risk and Finance.  Provide project specific leadership to build innovative solutions, integrating effectively into existing systems and processes with main focus on Comprehensive Capital Analysis and Review (CCAR) project and stress testing use-cases for a U.S. consumer bank. Prepare critical in-house and macro-economic data for the model development team. Lead communication with model owners and stakeholders to finalize models used for stress testing purposes and explain model drivers and results. Engage with stakeholders and management to translate Financial, Business and Regulatory requirements and problems into analytical solutions, through the use of a broad range of data, programming skills, and mathematical techniques. Provide project status reporting, including attendance at regular working groups and escalation of dependencies, risk, and issues to senior stakeholders across Risk and Finance. Implement models in Python-based implementation framework and perform user acceptance testing pursuant to implementation. Produce documentation of assigned projects to ensure replicability of results and fulfill governance requirements. Create detailed model documentation for regulatory submissions and liaise with independent validation teams for model endorsement and approval. Conduct research and analysis into model segmentation and modeling methodologies to improve yearly model performance.

Requirements:  Must have a minimum of a Master’s degree, or foreign equivalent, in Operations Research, Statistics, Finance, or related Mathematics focused field of study and at least five (5) years of experience as a Risk Analyst, Risk Analytics Lead, Modeling Analyst, Statistician, Decision Science Analyst, Quantitative Analyst, or related occupation within the financial services industry. Must have at least two (2) years of experience with each of the following required skills: (1) Logistic and Linear Regressions to develop risk, finance and marketing statistical models with binary and continuous targets; (2) Applying generalized logistic models to analyze longitudinal data with time-dependent covariates; (3) Analytical software including SAS and Python, Structured Query Language/SQL tools including Oracle and Unix platforms, and MS Office to perform statistical model development and ad hoc analysis; (4) Structured Query Language (SQL) to extract and manipulate data and run stored procedures to support data analysis, model development and implementation; (5) Applying gradient boosting machine to develop tree-structured models to predict risk and revenue; (6) Applying linear and non-linear optimization algorithms to improve business strategies to lower risk and generate revenue; (7) Git to coordinate model code implementation and execution within a version controlled environment.

To apply, visit and enter job number #00277007.

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Job Posting: 872729

Posted On: Nov 30, 2021

Updated On: Dec 31, 2021