Analytics Manager - Fraud and Scams

Commonwealth Bank; Bengaluru; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

A financial services institution in Bengaluru is seeking a Mid-Senior level Analyst for their Fraud & Scams Analytics team. The role involves developing fraud detection models, mentoring junior analysts, and collaborating with stakeholders to enhance fraud analytics. Candidates should have over 8 years of experience in Data Analytics and advanced programming skills in Python and SQL.

Qualifications

• 8+ years of experience in Data Analytics.
• Advanced programming skills in Python and SQL.
• Ability to develop predictive models and machine learning algorithms.
• Strong analytical mindset for creative problem-solving.

Responsibilities

• Identify and prioritize business challenges using analytics.
• Develop data features for fraud detection models.
• Enhance scripts for feature accuracy.
• Mentor junior analysts in their work.
• Collaborate with Data Scientists and stakeholders.

Skills

Data Analytics

Programming (Python, SQL)

Predictive modeling

Machine learning

Analytical mindset

Understanding fraud psychology

Collaboration

Education

Bachelor’s or master’s degree in computer science, engineering, or IT

Job description

Overview

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.

Business & Team: The Fraud & Scams Analytics team

Impact & Contribution

Fraud Analytics is responsible for 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 the best work outcomes. We are committed to safeguarding 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.

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 scripts.

Qualifications

• 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 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.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Analyst

Industries

• Financial Services, Banking, and Investment Banking