Quantitative Modeler, Quantitative Analytics (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.

Barclays Services Corp. seeks Quantitative Modeler, Quantitative Analytics in New York, New York (multiple positions available):

• Perform independent and complex statistical quantitative analysis to collect, organize, interpret, and summarize numerical data and provide information to business functions to produce effective business solutions, models, and methodologies.
• Analyze Value at Risk computation methodologies including Historical Simulation.
• Leverage knowledge of Greeks, including computation, interpretation and application to develop strategic Profit and Loss explains and predict frameworks.
• Design, build, and support core technological components for internal cross-product library.
• Provide quantitative support to multiple business teams regarding efficient development within company risk interface code base.
• Develop and support quantitative tools and techniques and assist with on-boarding of company risk interface.
• Manage statistical research projects, analyze requirements, discuss and implement design with information technology partners, and collaborate with stakeholders to manage issues and timelines.
• Design, develop, and maintain quantitative models within strategic C++ analytics libraries and Python tools for trading.
• Provide quantitative support across all asset classes, control functions, and quantitative analytics partners.
• Evaluate statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
• Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
• Build quantitative models in C++, Python, and R to develop internal analytics library.
• May Telecommute.

Salary / Rate Minimum/yr: $180K to $198K per year

The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available.

This position is eligible for incentives pursuant to Barclays Employee Referral Program.