Quant Analyst, AVP

Purpose of the Role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making. Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise. Collaborate with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools. Develop high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implement analytics and models in accurate, stable, well‑tested software and work with technology to operationalise them. Provide ongoing support for the continued effectiveness of analytics and modelling solutions to users. Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy. Ensure all development activities are undertaken within the defined control environment. Expectations Advise and influence decision‑making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions / business divisions. Lead a team performing complex tasks, using well‑developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraise performance relative to objectives and determine reward outcomes. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. Identify new directions for assignments and/or projects, identifying a combination of cross‑functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and develop new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub‑function. Collaborate with other areas of work, for business‑aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practices (in other areas, teams, companies, etc.) to solve problems creatively and effectively. Communicate complex information. Complex information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. 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. What You Will Be Doing Design, implement, and test graph‑based algorithms to support sophisticated and standardization model orchestration to provide detailed lineage for business review. Implement solutions to allow for effective visualization of datasets for business insights. Implement efficient solutions for scale including sampling methods for risk models and using techniques such as numerical methods, Monte Carlo simulation. Apply advanced modeling techniques including Machine Learning to support business requirements use cases such as synthetic data generation for retail portfolios. Data processing to assist in anomaly detection. Perform probabilistic, statistical, and time‑series analysis on various datasets and provide sensitivity and what‑if analysis. Compensation Salary / Rate Minimum / yr: $140,000 per year. Salary / Rate Maximum / yr: $160,000 per year. This position is eligible for incentives pursuant to Barclays Employee Referral Program. Location New York, NY (multiple positions available). #J-18808-Ljbffr