AVP Fraud Analytics

Overview

Apply innovative data analytics and machine learning to extract insights from the bank's data, informing strategic decisions, improving operational efficiency and driving innovation. Assistant Vice President level role with people leadership responsibilities.

What you'll do

• Identify, collect and extract data from internal and external sources.
• Perform data cleaning, wrangling and transformation to ensure 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 data.
• Develop and implement predictive models to forecast outcomes and identify potential risks and opportunities.
• Collaborate with business stakeholders to identify opportunities to add value from data through data science.
• Implement data quality processes and procedures, ensuring data is reliable and trustworthy.
• Set objectives and coach employees, appraise performance relative to objectives and determine reward outcomes.
• Identify ways to mitigate risk and develop new policies and procedures supporting the control and governance agenda.
• Communicate complex information and influence or convince stakeholders to achieve outcomes.

What you'll need

• Expertise in SQL, SAS, data analytics and reporting.
• Excellent communication and interpersonal skills to 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.
• Experience investigating and analysing data issues related to quality, lineage, controls and authoritative source identification.

Nice to have

• Effective communication and presentation skills.
• Experience in data privacy, governance, reporting and risk management, preferably in a financial services organisation.
• Proficient in MS Office: PowerPoint, Excel, Word and Visio.
• Dashboard visualisation, Tableau or Power BI.
• 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.

Details

• Location: Gurugram (DLF Downtown).