Transaction Monitoring Analytics VP

Barclays Corporate Banking; Gurugram District; On-site; INR 4,500,000 - 6,500,000; Full time

Job summary

Barclays Corporate Banking in Gurugram is seeking a Vice President, Analytics for Transaction Monitoring. You will design, develop, and maintain statistical and ML models to support decision-making and risk management.

You will lead data engineering and analytics teams, drive real-time monitoring, and collaborate with stakeholders to enhance AI capabilities while ensuring compliance with regulations.

Qualifications

• Bachelor's degree required.
• Hands-on experience with Python, SQL and PySpark.
• Experience in data analytics and modelling for monitoring and decision support.
• Exposure to BI tools like Tableau/Power BI is preferred.
• AML/FinCrime and transaction monitoring experience is advantageous.

Responsibilities

• Acquire and integrate data from internal databases, external datasets and real-time feeds.
• Clean and pre-process data to ensure quality for model development.
• Design and implement data management strategies for model maintenance.
• Develop statistical and ML models for credit risk, fraud detection, and customer insights.
• Monitor model performance in real-time and address biases or issues.
• Lead training and knowledge-sharing to uplift ML capabilities across the organisation.
• Evaluate emerging technologies to keep AI capabilities at the forefront.

Skills

Python

SQL

Pyspark

Tableau

Power BI

Machine Learning

AML/FinCrime

Data Analytics

Education

Bachelor's degree

Tools

Tableau

Power BI

MI Tools

Job description

Job Description:

Job Description

Purpose of the role

To design, develop, implement, and maintain various statistical, mathematical and machine learning models to support decision-making by analysis and solving complex problems.

Accountabilities

• 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.

Vice President Expectations

• 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 elevate 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.

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.

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.

Key critical skills required for this role include:

• Hands-on experience on Python, SQL & pyspark.
• Relevant experience in the stream of Data Analytics.
• Exposure to Business Intelligent tools like MI (e.g. Tableau/Power BI) will be preferred.
• Machine Learning – Will be added advantage for the role.
• 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.

This role is based out of Gurugram.

Requirements: