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Barclays Investment Bank · 13 hours ago

AVP – Data Scientist (Quantitative Analytics)

745 7th Avenue, New York

Full-time

Onsite

Mid, Senior Level

$100K/yr - $160K/yr

5+ years exp

Barclays Investment Bank is seeking an AVP – Data Scientist (Quantitative Analytics) to design, develop, implement, and support mathematical and machine learning models for business decision-making. The role involves collaboration with technology and business stakeholders to create robust analytical solutions that enhance fraud detection and financial crime prevention efforts.

BankingFinancial Services

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. 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

Qualification

Machine LearningStatistical ModelsFraud DetectionPythonCloud PlatformsDevOps/MLOpsModel Risk ManagementCollaborationCommunicationLeadership

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

Preferred

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 Investment Bank

Barclays Investment Bank offers large corporate clients with strategic advisory, financing, and risk management solutions. It is a sub-organization of Barclays Corporate Banking.

Founded in 1997

London, England, GBR

10001+ employees

https://www.investmentbank.barclays.com

H1B Sponsorship

Barclays Investment Bank 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

2022 (1)