Advanced Analytics Analyst

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: Analyst 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:

• Develop data features for fraud and scam detection models.

• Enhance scripts to improve feature and profile accuracy.

• Collaborate with analytics staff.

• Liaise with Data Scientists and rule writers on how features can be used to improve the overall fraud detection for the bank.

• Use self-service tools to schedule and monitor written script.

Essential Skills:

• 3+ years of experience in Data Analytics.

• Gather and clean data from various sources to ensure it is ready for analysis. Utilize tools such as SQL, Python or R, and AI virtual assistants for data manipulation

• Perform exploratory data analysis to uncover patterns, correlations, and trends. Apply statistical methods and machine learning techniques to analyze data, generate insights, and make predictions. Interpret results to provide actionable recommendations.

• An analytical mindset with the ability to solve problems in creative ways

• Stay up to date with the latest trends and technologies in data analytics and machine learning. Identify opportunities for process improvements and automation.

• Ability to collaborate effectively within the analytics community and stakeholders

• Tertiary qualified in a numerate, engineering and/or IT based disciplines such as Actuarial science, applied mathematics, Statistics, Computing Science, Data Science.

Education Qualifications:

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