Quantitative 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.
• Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools.
• Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams.
• Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them.
• Provision of 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.

Assistant Vice President Expectations

• To 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, appraisal of performance relative to objectives and determination of 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. They will 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 developing 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 practises (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.

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What will you be doing?

Barclays Services Corp seeks Quantitative Analyst, AVP in New York, NY (multiple positions available):

• Work closely with the technical disciplines of the Internal Governance and Control Team, Internal Validation Unit, Model Monitoring to ensure that the latest methodologies and constraints are incorporated in the acquisition, capital and impairment plans and to provide efficient documentation around the process to ensure smooth audit.
• Produce comprehensive documentation to ensure the models can be replicated and to indicate how the models adhere to internal, external and regulatory requirements.
• Knowledge of data analysis, mathematical theory and statistical techniques such as linear or nonlinear models, logistic regression, macroeconomic forecasting, time series modeling, decision trees, cluster analysis, random forest techniques, boosting techniques and neural networks
• Understand the underlying regulatory capital requirements and the primary drivers of the capital adequacy of the bank, risk management strategies and collection strategies.
• Have the necessary technical software knowledge including GIT Version Control, SAS, SQL, R, Python, Hue, Hive and a good working knowledge of the Hadoop Eco System to deploy the approach her/she designed for a given model.
• Utilize databases including SAS GRID, Hadoop and Unix Servers.
• Develop a comprehensive understanding of account level and transactional level data across different sources including demographic, performance and credit bureau data.
• Use raw variables and transform this information to be predictive as well as a good understanding of how to treat data limitations.
• Ability to coach/support peers on technical aspects of projects and offer subject matter expertise to colleagues and teams across different QA teams.
• May Telecommute.

Salary / Rate Minimum/yr: $204K per year
Salary / Rate Maximum/yr: $224,400 per year