Description
We are seeking an Assistant Vice President (AVP) for Fraud Analytics at Barclays, based in Gurugram.
The successful candidate will use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, informing strategic decision-making, improving operational efficiency, and driving innovation across the organisation.
Key Responsibilities:
- Identify, collect, and extract data from various sources, including internal and external sources.
- Perform data cleaning, wrangling, and transformation to ensure data quality and suitability for analysis.
- Develop and maintain efficient data pipelines for automated data acquisition and processing.
- Design and conduct statistical and machine learning models to analyse patterns, trends, and relationships in the data.
- Develop and implement 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:
- Advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness.
- Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver work impacting the whole business function.
- Set objectives, coach employees, appraise performance, and determine reward outcomes.
- Demonstrate leadership behaviours: Listen and be authentic, Energise and inspire, Align across the enterprise, Develop others.
Requirements:
- Expertise in SQL, SAS, Data Analytics, and Reporting.
- Excellent communication and interpersonal skills.
- Strong analytical skills to interpret complex data quickly and make informed decisions.
- Proficiency in designing and building data pipelines.
- Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification.
Desirable Skills:
- Effective communication and presentation skills.
- Experience in Data Privacy, Governance, Reporting, and Risk Management, preferably in a financial services organisation.
- Proficient in MS Office – PPT, Excel, Word & Visio.
- Comprehensive understanding of Risk, Governance, and Control Frameworks and Processes.
- Understanding of Data Privacy Policies and Standards.
- Ability to analyse, interpret, and work robustly with others to identify issues and develop proposed solutions.