Analytics AVP US

Posted 7 Days Ago
New York, NY, USA
In-Office
110K-155K Annually
Entry level
Fintech • Financial Services
The Role
Develop and maintain statistical and machine learning models supporting credit risk, fraud detection, customer segmentation, marketing optimization, and transaction monitoring. Analyze and optimize financial crime detection models, monitor performance and bias, manage model data, and collaborate with risk, compliance, technology, operations, and validation teams. Lead analytics capability development, mentor colleagues, evaluate emerging AI technologies, support transformation initiatives, and communicate complex model risk and performance findings to stakeholders.
Summary Generated by Built In
Job Description

Purpose of the role

To design, develop, implement, and maintain various statistical, mathematical and machine learning models to support decision-making by analysis and solving complex problems. 

Accountabilities

  • 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. 

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.

Transform Financial Crime Detection with Data – Apply your analytics experience to strengthen resilience and safeguard Barclays. In your new role as Analytics Assistant Vice President - US Quantexa, you will play a pivotal role in conducting detailed model analysis, tuning, optimization, and analytics across Transaction Monitoring systems deployed in the US and globally. You’ll collaborate with stakeholders including Control Owners, Risk, Compliance, Technology, Operations, and Model Validation teams, communicating clearly on model risk, performance, and lifecycle data. In your role, you will ensure 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, you’ll also contribute to transformation projects, helping design and deliver strategic detection solutions that strengthen Barclays’ financial crime prevention framework.

To be successful in your role as Analytics Assistant Vice President - US Quantexa you should have:

  • 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

Other highly values skills include:

  • 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

You may be assessed on the key critical skills relevant for success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical skills.

This role is located in New York, NY

Minimum Salary: $110,000.00

Maximum Salary: $155,000.00

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.

Skills Required

  • Advanced coding skills in Python, PySpark, Scala, or SQL
  • Analytics background with understanding of databases, modeling, mathematics, and machine learning
  • Ability to solve multifaceted financial crime problems using logical analytics
  • Ability to present analytical findings using visualization tools, charts, processes, and business-friendly language
  • Financial crime experience, especially transaction monitoring
  • Experience with tuning and optimization of models
  • Understanding of model risk validation processes and transaction monitoring model complexities
  • Experience with entity resolution and network analysis
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The Company
HQ: London
83,500 Employees

What We Do

Barclays is a British universal bank. We are diversified by business, by different types of customers and clients, and by geography. Our businesses include consumer banking and payments operations around the world, as well as a top-tier, full service, global corporate and investment bank, all of which are supported by our service company which provides technology, operations and functional services across the Group. With over 325 years of history and expertise in banking, Barclays operates in over 40 countries and employs approximately 83,500 people. Barclays moves, lends, invests and protects money for customers and clients worldwide.

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