Job Description

Purpose of the role

To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.

Accountabilities

• Identification, collection, extraction of data from various sources, including internal and external sources.
• Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.
• Development and maintenance of efficient data pipelines for automated data acquisition and processing.
• Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.
• Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
• Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.

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.

What will you be doing?

Barclays Services Corp. seeks Compliance Data Scientist in New York, NY (multiple positions available):

• Utilize mathematics and statistics to perform data analysis to support the identification, measurement, and prevention of Conduct Risk.

• Provide solutions for Financial Crime Anti-Money Laundering (AML) ranging from Transaction Monitoring system optimization through non-linear optimization to the development of bespoke reports and dashboards to identify outlier customer and client behavior.

• Generate complex insights and actionable Management Information (MI) using Barclays automated dashboard development tools. Enhance the effectiveness and efficiency of the Company’s AML group.

• Partner with Barclays Technology teams to enhance the quality and structure of data used for subsequent Conduct Risk analytics.

• Develop innovative ways to gain additional insight from existing data by using graph databases and similar Network Link Analytics approaches.

• Engage with stakeholders to identify their key problems and needs, keeping up-to-date with external industry development through research and peer-group meetings and conferences.

• Use Data Visualization tools to produce performance-monitoring metrics for Transaction Monitoring processes.

• Use data analytics to inform root cause analysis, diagnostics, and to conduct simulations.

• Produce performance metrics for Market Surveillance processes designed to identify Market Abuse risk.

• Use data analytics to spot trends and patterns in data that could indicate broader Conduct Risk, including Conduct Risks relating to Financial Crime and/or Market Abuse.

Salary / Rate Minimum/yr: $140,000 per year

Salary / Rate Maximum/yr: $155,000 per year

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

This position is eligible for incentives pursuant to Barclays Employee Referral Program.