AVP Fraud Analytics

Barclays Capital; Gurugram District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Barclays Capital is seeking an AVP Fraud Analytics to lead data quality processes and extract actionable insights from the bank's data to inform strategic decisions, improve operational efficiency, and drive innovation across the organisation.

You will advise on data strategy, develop predictive models, and collaborate with business stakeholders to unlock value from data, while ensuring governance and risk controls are embedded in analytics initiatives.

Qualifications

• Expertise in SQL, SAS, data analytics and reporting.
• Excellent communication and interpersonal skills to communicate with stakeholders.
• Strong analytical skills to interpret data and make quick, informed decisions.
• Proficiency in designing and building data pipelines to automate data movement.
• Investigation and analysis of data quality, lineage, controls, and source identification.

Responsibilities

• Identify, collect and extract data from multiple sources.
• Clean, wrangle, and transform data for analysis.
• Develop and maintain data pipelines for automated processing.
• Design and validate statistical and ML models to detect patterns.
• Collaborate with stakeholders to derive value from data.

Skills

SQL

SAS

Data Analytics

Data pipelines

Communication

Analytical skills

Interpersonal skills

Data quality

Job description

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.

Step into the role of AVP Fraud Analytics at Barclays, where you'll play a pivotal role in shaping the future. In this role, you will be responsible for implementing data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources.

You may be assessed on key critical skills relevant for success in role such as:

• Expertise in SQL, SAS, Data Analytics and Reporting.
• Excellent communication and interpersonal skills to effectively communicate with stakeholders, build relationships, and present findings.
• Strong analytical skills to interpret complex data quickly and make informed decisions in a fast-paced environment.
• Proficiency in designing and building data pipelines to automate data movement and processing.
• Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification

Desirable skill set:

• Effective communication and presentation skills.
• Experience in Data Privacy, Governance, Reporting and Risk Management preferably in a financial services organisation.
• Proficient in M