Fraud & Scams CoE - Senior Manager

Organization:

At CommBank we believe in working somewhere that works for you. We have many flexible workingoptions available so talk to us about which arrangements could work best for you.

Job Title: Senior Manager Fraud & Scams Analytics

Location: Bangalore

Business & Team:The Fraud & Scams Analytics team

Impact & contribution:

Fraud Analytics is responsible with defining and execution of robust fraud analytics procedures for the Group.

Our team's diverse backgrounds means we can draw on one another's experience to deliver to best work outcomes. We are committed to safe-guarding our customers from financial fraud and scams. Our analytics run on Australia's largest real-time transaction monitoring system, handling millions of transactions per day.

Roles & Responsibilities:

• Partner with senior leadership and other stakeholders to identify key business challenges and opportunities that can be addressed through analytics. Communicate complex analytical findings in a clear, actionable manner to non-technical audiences.
• Oversee the tasks from the team and help to resolve any issues or blockers that arise.
• Work with peers on priorities of features and profiles to be built.
• Challenge the team's thinking to help test theories and assumptions in their approach to building of data assets.
• Keep track of team tasks and update JIRA as required.

Essential Skills:

• 10+ Years of experience in Data Analytics.
• Lead, mentor, and develop a team of analysts, fostering a collaborative and high-performing team environment. Set clear goals and expectations, providing guidance and support to team members.
• Supervise the development of sophisticated models, machine learning algorithms, and other advanced analytical techniques. Ensure the robustness, accuracy, and business relevance of analytical solutions.
• Maintain data governance practices to ensure data integrity, quality, and security. Implement best practices for data management and ensure compliance with relevant regulation
• Proficiency in Python or SQL and the ability to mentor team members to improve their skills
• Ability to collaborate effectively within the analytics community and stakeholders and translate problem-statements between different audiences
• Tertiary qualified in a numerate, engineering and/or IT based disciplines such as Actuarial science, applied mathematics, Statistics, Computing Science, Data Science.
• An understanding of data engineering concepts would be beneficial.

Education Qualifications:

Bachelor's or master's degree in computer science, Engineering, Information Technology.