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Barclays · 13 hours ago

AVP – Data Scientist (Quantitative Analytics)

New York, NY

Full-time

Onsite

Mid, Senior Level

$100K/yr - $160K/yr

Barclays is focused on shaping the future of financial crime prevention, and they are seeking an AVP - Data Scientist (Quantitative Analytics) to design and deliver machine learning solutions. The role involves developing robust models to detect financial crime, collaborating with business stakeholders, and supporting the full model lifecycle in a regulated environment.

BankingConsumerFinancial ServicesWholesale

H1B Sponsor Likely

Responsibilities

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

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

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

Influence or convince stakeholders to achieve outcomes

Qualification

Machine LearningPythonFraud DetectionCloud PlatformsDevOps/MLOpsModel Risk ManagementStatistical ModelsDocumentationCollaborationStrategic Thinking

Required

Direct experience in designing, developing, and deploying machine learning or statistical models within financial services or similarly regulated industries

Working experience coding in Python and experience with machine learning and distributed data frameworks (e.g., scikit-learn, PyTorch, Spark)

Confirmed experience in areas such as Fraud detection, Credit Risk, and Anti-Money Laundering (or similar) in consumer banking

Responsibility for model lifecycle processes, from inception through development, deployment, and on-going maintenance

Experience with cloud platforms (AWS, Azure, or GCP) or ML-focused cloud-based services (e.g. Databricks) for advanced data analytics and/or machine learning

Practical experience applying DevOps/MLOps fundamentals—version control (Git), unit testing, CI/CD pipelines, modular code design—and experience operationalizing models in collaboration with technology teams

An understanding of model risk management, governance, controls, and documentation within the financial services' regulatory environment

Company

Barclays

Glassdoor3.9

Barclays is a transatlantic consumer and wholesale bank with global reach, offering products, and services.

Founded in 1690

London, England, GBR

10001+ employees

https://home.barclays

H1B Sponsorship

Barclays has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2025 (621)

2024 (610)

2023 (639)

2022 (720)

2021 (571)

2020 (448)