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Develop models and methodologies for forecasting business revenues and balance sheet
Analyse business revenue segmentation and business drivers for key businesses.
Collaborate with Business representatives for model and variable selection and outcome analysis.
Work with Finance and IT teams to source modelling data and check consistency.
Develop tests, estimation and calibration procedures for revenue forecasting models.
Implement the models and the estimation and calibration procedures in Barclays statistical model development framework.
Work with internal and external teams on validating models and building challenger models
Provide rationale and justification for model choices to internal and external validation teams.
Respond to any inquiries related to the models and perform further tests as required.
Build benchmark and challenger models using alternative approaches.
Follow industry wide initiatives and regulatory guidelines that impact the models.
Provide documentation for models and respond to internal and external inquiries
Write robust model documentation to ensure replicability of results and fulfil Barclays' governance requirements.
Prepare detailed response and analysis to any inquiries by validation teams or regulators.
Contribute to the broader Quantitative Analytics department through participation in peer reviews, Model Requirements Documentation reviews, modelling forums and ad-hoc project collaboration.
Stakeholder Management and Leadership
Participation with stakeholders across the business in order to understand their issues, objectives and priorities; suggest and discuss potential solutions.
Help to communicate the results of the models developed or other analytics to business owners; help to drive business actions based on the results.
Decision-making and Problem Solving
Provide business with insights and recommendations in order to improve strategy and process.
Be pro-active in identifying and analysing the value of incremental information sources.
Risk and Control Objective
Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Barclays Policies and Policy Standards.
Bachelors Degree in quantitative discipline required (ex. Statistics, Operations Research, Economics, Computer Science or Engineering).
Graduate studies, Masters or Phd required.
3+ years analytical work experience in a financial services company strongly preferred.
Strong proficiency with programming and statistical software/tools: SAS, R / RStudio, Python, SQL Tools, Unix platforms, MS Office.
A good knowledge of data analysis, theory and statistical techniques (such as linear or nonlinear models, logistic regression, macroeconomic forecast, decision trees, cluster analysis and neural networks etc.).
Hands-on experience in building statistical models/regression analysis or specific CCAR/PPNR modelling experience.
An ability to produce reports and interrogate systems to produce analysis and resolve discrepancies/queries.
Strong analytical, technical and/or statistical skills with proven ability to process large datasets into meaningful information.
Strong communication skills & ability to work independently.
Ability to thrive in a dynamic and fast paced environment.