About Quantitative Analytics

Quantitative Analytics (QA) is a global organisation of highly specialized quantitative modellers and developers. QA is led by Olaf Springer, who is a member of Risk Exco.

QA is responsible for developing, testing, implementing, and supporting quantitative models for valuation and risk management of traded assets, regulatory and economic capital, impairments, asset-liability management, operational risk, net revenue and balance sheet forecasting, and stress testing across Barclays.

About QA Model Monitoring

QA Model Monitoring acts as one of the primary ways to mitigate Model Risk by highlighting areas of sub-optimal performance and by proposing effective remediation plan for models in use by business. Model Risk is the potential of adverse consequences (e.g. financial loss, reputational impact, regulatory censure etc.) due to decisions based on incorrect or misused model outputs and reports. This can arise from fundamental model weaknesses leading to inaccurate outputs, errors in implementation, or incorrect/inappropriate use. Monitoring team periodically evaluates model performance. Monitoring findings help business decide upon the further uses of the model to continue, adjust, or discontinue and rebuild the model.

Overall purpose of role

Performance monitoring and analysis of Decision, Planning & Stress Testing, Impairment and Regulatory Capital models etc. across Retail and Wholesale banking portfolios including Wholesale, Mortgage, Cards, Loans, SME, Corporate Lending etc.Documentation of monitoring reports as per the standard guidelines and presenting the same to senior management and various decision-making committeesDrive and provide support in the Model Management decision making, model improvements and governance activities

Key Accountabilities

Understand construct of various credit risk models and produce timely and accurate model monitoring packsInterpret various model performance KPIs, metrics and trends, and analyse the impact they have on related portfolios and model useDiscuss the model performance with the portfolio teams, and present the outcome in various decision-making committees to assist in the decision making processStandardize & automate the monitoring packs using appropriate software and statistical programming languages e.g. Excel, SQL, R, SAS, Python etc.Drive and provide support in the monitoring governance activities like writing minutes of meetings, follow up to close action items etc.

Purpose of the role

To support the day-to-day operations of the risk division by monitoring the bank’s risk profile, identifying and managing risks and providing insights and expertise to support senior colleagues to make informed decisions.

Accountabilities

Execution of small research projects to support risk identification and strategic decision making. Prepare presentations and reports to communicate the findings to senior management.Collaboration with cross-functional teams to support business initiatives.Participation in training and development programs to enhance skills and knowledge.Identification and management of risks including reviewing and challenging business propositions.Management of business and client relationships under steadily decreasing supervision.Support of risk management and decision making by using financial models and strategies.

Analyst Expectations

Execute work requirements as identified in processes and procedures, collaborating with and impacting on the work of closely related teams.Check work of colleagues within team to meet internal and stakeholder requirements.Provide specialist advice and support pertaining to own work area.Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.Maintain and continually build an understanding of how all teams in area contribute to the objectives of the broader sub-function, delivering impact on the work of collaborating teams.Continually develop awareness of the underlying principles and concepts on which the work within the area of responsibility is based, building upon administrative / operational expertise.Make judgements based on practise and previous experience.Assess the validity and applicability of previous or similar experiences and evaluate options under circumstances that are not covered by procedures.Communicate sensitive or difficult information to customers in areas related specifically to customer advice or day to day administrative requirements.Build relationships with stakeholders/ customers to identify and address their needs.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

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