Analytics Manager

4 weeks ago

Bengaluru, Karnataka, India Commonwealth Bank Full time
Job Description

Organization:

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

Job Title: 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:

- Work closely with senior management and other stakeholders to identify and prioritize business challenges that can be addressed with analytics. Communicate complex analytical concepts in a clear and actionable manner.
- Develop data features for fraud and scam detection models.
- Enhance scripts to improve feature and profile accuracy.
- Mentor junior analysts, providing guidance and support in their analytical work..
- 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:

- 8+ years of experience in Data Analytics.
- Advanced level of programming language (Python, SQL)
- Develop predictive models, machine learning algorithms, and other advanced analytics techniques. Ensure the robustness, accuracy, and relevance of analytical solutions.
- An analytical mindset with the ability to solve problems in creative ways
- Ability to understand fraudster behavior and psychology
- Maintain data governance standards and practices. Ensure the integrity, quality, and security of data used in analysis.
- 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.

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