Analytics AVP US

Barclays • New York, NY

3d • Onsite

About The Position

The purpose of the role is to design, develop, implement, and maintain various statistical, mathematical, and machine learning models to support decision-making by analysis and solving complex problems. This role involves acquiring and collecting data from various sources, performing data cleaning and pre-processing, and designing data management strategies. The AVP will design, develop, and implement statistical and machine learning models for applications such as credit risk assessment, fraud detection, customer segmentation, and marketing optimization. They will monitor model performance, lead training sessions, and evaluate emerging technologies. As an Assistant Vice President, the individual will advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness. They will collaborate closely with other functions, lead a team, set objectives, and coach employees. For an individual contributor, they will lead collaborative assignments, guide team members, identify new directions for projects, and consult on complex issues. They will also identify ways to mitigate risk, develop new policies/procedures, and take ownership for managing risk and strengthening controls. The role requires performing work closely related to other areas, understanding how areas coordinate, and collaborating with business-aligned support areas. The AVP will engage in complex analysis of data from multiple sources to solve problems creatively and effectively, and communicate complex information, influencing stakeholders to achieve outcomes. All colleagues are expected to demonstrate Barclays Values and Mindset. This role specifically focuses on transforming financial crime detection with data, applying analytics experience to strengthen resilience and safeguard Barclays. The Analytics Assistant Vice President - US Quantexa will play a pivotal role in conducting detailed model analysis, tuning, optimization, and analytics across Transaction Monitoring systems deployed in the US and globally. They will collaborate with stakeholders including Control Owners, Risk, Compliance, Technology, Operations, and Model Validation teams, communicating clearly on model risk, performance, and lifecycle data. The role ensures TM solutions are rigorously built and embedded into routine processes, enabling early identification of money laundering and financial crime risks through advanced analytics. Alongside business-as-usual responsibilities, the AVP will contribute to transformation projects, helping design and deliver strategic detection solutions that strengthen Barclays’ financial crime prevention framework.

Requirements

• Advance coding skills like Python, PySpark, Scala or SQL
• Analytics background with good understanding of databases, modelling, mathematics, and machine learning
• Solving multi-faceted financial crime problems with logical analytics and ability to present them clearly with visualization
• MI tools, charts, processes, and business friendly language

Nice To Haves

• Financial crime experience especially in the area of Transaction Monitoring (TM)
• Tuning and optimization, as well as model risk validation with understanding on various processes and responses to responses to complexities raised within TM models.
• Entity resolution and network analysis

Responsibilities

• Acquisition and collection of data from various sources, including internal databases, external datasets, and real-time feeds.
• Performing data cleaning and pre-processing tasks to ensure data quality and suitability for model development.
• Design and implementation of data management strategies for model maintenance and future development.
• Designing, development, and implementation of statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing optimisation.
• Monitoring model performance in real-time and identify any potential issues or biases.
• Leading training, mentoring, and knowledge-sharing sessions to uplift ML capability across the organisation.
• Evaluating and piloting emerging technologies, tools, and frameworks to ensure the organisation remains at the forefront of AI innovation.
• 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.
• 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.
• Conduct detailed model analysis, tuning, optimization, and analytics across Transaction Monitoring systems deployed in the US and globally.
• Collaborate with stakeholders including Control Owners, Risk, Compliance, Technology, Operations, and Model Validation teams, communicating clearly on model risk, performance, and lifecycle data.
• Ensure TM solutions are rigorously built and embedded into routine processes, enabling early identification of money laundering and financial crime risks through advanced analytics.
• Contribute to transformation projects, helping design and deliver strategic detection solutions that strengthen Barclays’ financial crime prevention framework.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed