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Barclays Investment Bank · 21 hours ago

Data Scientist (Machine Learning)

Dryrock Building, Wilmington

Full-time

Onsite

New Grad, Entry Level

Barclays Investment Bank is seeking a Data Scientist (Machine Learning) to design and build machine learning solutions aimed at detecting financial crime and preventing fraud. The role involves working within a model development team to develop robust machine learning models while adhering to documentation and governance practices in a regulated environment.

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 perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement

Requires in-depth technical knowledge and experience in their assigned area of expertise

Thorough understanding of the underlying principles and concepts within the area of expertise

They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources

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 develop technical expertise in work area, acting as an advisor where appropriate

Will have an impact on the work of related teams within the area

Partner with other functions and business areas

Takes responsibility for end results of a team’s operational processing and activities

Escalate breaches of policies / procedure appropriately

Take responsibility for embedding new policies/ procedures adopted due to risk mitigation

Advise and influence decision making within own area of expertise

Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to

Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct

Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function

Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function

Make evaluative judgements based on the analysis of factual information, paying attention to detail

Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents

Guide and persuade team members and communicate complex / sensitive information

Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation

Qualification

Machine LearningPythonStatistical ModellingCloud PlatformsData AnalysisDevOps/MLOpsModel Risk ManagementAlgorithmic Thinking

Required

An academic background in quantitative or computational discipline (mathematics, statistics, computer science, engineering, or related fields) with exposure to machine learning concepts

Practical coding ability in Python and familiarity with machine learning libraries and distributed data frameworks

Considerable understanding of core principles in machine learning, statistical modelling, data analysis, and algorithmic thinking

Preferred

Exposure to aspects of model development (data preparation, development, deployment, monitoring)

Familiarity with cloud platforms (AWS, Azure, or GCP) or ML-focused services (e.g. Databricks)

Keen interest in DevOps/MLOps fundamentals—version control (Git), unit testing, CI/CD pipelines, modular code design

Awareness of model risk management, governance, and controls 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)