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Transaction Monitoring – Analytics VP

Barclays · Posted Oct 28

Banking, credit card, corporate, investment banking, and wealth management services

Gurugram, India; Pune, IndiaFull-timeOnsiteLead/Staff8–12 years₹40.0L–₹60.0L yearly76 applicants
BankingFinancial ServicesInvestment BankingCredit CardsWealth ManagementPublic Company
Full time

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About the role

Barclays' Transaction Monitoring analytics team builds statistical, mathematical and machine learning models that support decision-making and solve complex problems, with data familiarity in transaction monitoring, financial crime, fraud and AML. The role sits within a banking risk and controls environment, working with data acquisition, cleaning, model design and real-time performance monitoring. As a VP, the position also carries leadership expectations around strategy, resource and budget planning, mentoring, and advising senior stakeholders.

What you will do

  • Embark on a transformative journey as role Transaction Monitoring – Analytics VP at Barclays, where you will design, develop, implement, and maintain various statistical, mathematical and machine learning models to support decision-making by analysis and solving complex problems.
  • You will take ownership of your work, ensuring it aligns with the relevant rules, regulations, and codes of conduct while contributing to the overall integrity of the organization.
  • To design, develop, implement, and maintain various statistical, mathematical and machine learning models to support decision-making by analysis and solving complex problems.
  • 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.
  • To contribute or set strategy, drive requirements and make recommendations for change.
  • Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.
  • If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes.
  • They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.
  • 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 be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.
  • Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
  • Manage and mitigate risks through assessment, in support of the control and governance agenda.
  • Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
  • Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
  • Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives.
  • In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
  • Adopt and include the outcomes of extensive research in problem solving processes.
  • Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

Skills used in this role

What the employer is looking for

  • Hands-on experience on Python, SQL & pyspark.
  • Relevant experience in the stream of Data Analytics.
  • Transaction monitoring, Fin crime, fraud or AML is required as data familiarity.
  • Bachelor's degree is required.
  • You may be assessed on key essential skills relevant for success in role, such as risk and controls, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

Preferred qualifications

  • Exposure to Business Intelligent tools like MI (e.g. Tableau/Power BI) will be preferred.
  • Machine Learning – Will be added advantage for the role.

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Barclays

Barclays logo

Barclays

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Barclays is a British multinational universal bank that provides consumer, corporate, and investment banking, as well as wealth management services. Tracing its origins back to 1690 in London, the institution operates globally to serve millions of retail and institutional clients. The bank leverages cutting-edge technology and digital platforms to drive operational efficiency across its international network.

Industry
Banking
Company size
93000+ employees
Founded
1690
Location
London, United Kingdom
Funding stage
Public Company

Leadership

CV
C.S. Venkatakrishnan

Group Chief Executive

AC
Anna Cross

Group Finance Director

AC
Alistair Currie

Group Chief Operating Officer

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