Quant Analyst, AVP

Barclays•New York, NY

3d•Onsite

About The Position

The purpose of the role is to design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making. This involves designing analytics and modeling solutions to complex business problems using domain expertise, collaborating with technology to specify dependencies, developing high-performing and well-documented solutions, implementing them in stable software, and providing ongoing support. The role also requires adherence to Barclays Enterprise Risk Management Policies, particularly the Model Risk Policy, and ensuring all development activities are within the defined control environment.

Requirements

Domain expertise
Collaboration with technology
Development of high performing, comprehensively documented analytics and modelling solutions
Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy
Ensure all development activities are undertaken within the defined control environment
Design, implement, and test graph-based algorithms
Implement solutions for effective visualization of datasets
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
Data processing to assist in anomaly detection
Perform probabilistic, statistical, and time series analysis
Provide sensitivity and what-if analysis

Nice To Haves

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.
Demonstrate leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard.
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 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.
Influence or convince stakeholders to achieve outcomes.
Demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship.
Demonstrate the Barclays Mindset – to Empower, Challenge and Drive.

Responsibilities

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.
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 to various datasets and provide sensitivity and what-if analysis.