Assitant Manager Fraud Analytics

Overview

Assistant Manager Fraud Analytics role at Barclays, using data analytics and machine learning to extract insights from the bank's data to inform decision-making, improve operational efficiency and drive innovation.

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 the data.
• Develop and implement predictive models to forecast future 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.
• Investigate and analyse data issues related to quality, lineage, controls and authoritative source identification.
• Lead and supervise a team, guiding and supporting professional development, allocating work and coordinating team resources.
• Take responsibility for the end results of the team's operational processing and activities.
• Escalate breaches of policies and procedures appropriately, and embed new policies and procedures adopted for risk mitigation.
• Take ownership of managing risk and strengthening controls in relation to the work owned or contributed to.
• Act as contact point for stakeholders outside the immediate function and build a network of contacts inside and outside the organisation.

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.

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).
• Preferred: 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.