Financial Crime Specialist

Bengaluru, IN

Applications have closed

ANZ Banking Group Limited

ANZ offers a range of personal banking services such as internet banking, bank accounts, credit cards, home loans, personal loans, travel and international, investment and insurance. Learn about easy and secure ways to manage your money.

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About Us


At ANZ, we're shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our millions of customers.

About the Role

 

The Senior Analyst - Customer Monitoring and Detection is a crucial member of the Financial Crime Threat Management Team, driving support across multiple critical functions. In this advanced role, you will:

 

  • Leverage your expertise in SQL to efficiently query large-scale databases and apply advanced statistical analysis to extract insights.
  • Utilize these insights to assess and refine financial crime detection algorithms, with a strong focus on enhancing the quality of alerts generated.
  • Collaborate strategically with other Financial Crime teams to identify areas for improvement in detection coverage, and develop targeted solutions informed by typology reports, intelligence findings, and comprehensive risk assessments.

 

Banking is changing and we’re changing with it, giving our people great opportunities to try new things, learn and grow. Whatever your role at ANZ, you’ll be building your future, while helping to build ours.

 

Role Location: Manyata Tech Park, Bengaluru

Role Type: Permanent, Fulltime

What will your day look like?

 

As a Senior Analyst you will -

 

1. Deployment and Tuning of Monitoring Tools:

Drive the deployment and configuration of advanced quantitative monitoring tools to track financial crime risks. Own the tuning of thresholds and settings, ensuring the tools are optimized for accuracy and aligned with business objectives and regulatory requirements.

 

2. Quantitative and Qualitative Analysis on BAU Scenario Runs:

Drive the analysis of results from business-as-usual (BAU) monitoring scenarios. Drive data analysis efforts to identify patterns or anomalies in transaction data, providing actionable insights and recommendations for refining detection models and strategies.

 

3. Analytics Execution in PostgreSQL:

Manage the execution and troubleshooting of complex analytical queries in PostgreSQL. Drive the writing of complex SQL queries and execution of data analysis for financial crime detection, ensuring the smooth operation of BAU activities and the continuous improvement of monitoring systems.

 

4. Documenting Business Analysis and Findings:

Take ownership of documenting the analysis process, key findings, and insights. Prepare detailed reports and presentations to communicate findings and recommendations to leadership and key stakeholders, ensuring transparency and alignment with compliance and regulatory standards.

What will you bring?

 

To grow and be successful in this role, you will ideally bring the following:

 

  • Advanced data management and manipulation skills, particularly in SQL and Excel.
  • SAS, Python, and experience with Machine Learning.
  • Relevant experience in Financial Crime, Regulatory Compliance, or financial systems.
  • A strong commitment to quality and standards alignment, with the ability to engage others, gain buy-in, and champion continuous improvement.
  • Proactively identify and drive opportunities to manage financial crime risks.
  • A solid understanding of statistical and data concepts, with hands-on experience applying these principles in a financial crime context.
  • Excellent written and verbal communication skills, with the ability to convey complex issues clearly and concisely to diverse audiences.
  • Strong organizational skills with the ability to manage competing priorities professionally, alongside excellent influencing abilities.
  • Experience with technology and process governance, particularly when deploying technology solutions.
  • Practical experience deploying solutions on cloud platforms such as GCP, AWS, or Azure preferred.
  • Bachelor’s or master’s degree in data science, Computer Science, Mathematics, Statistics, or a related field.

 

You’re not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we’d love to hear from you.

So why join us?

 

From the moment you join ANZ, you'll be doing meaningful work that will shape a world where people and communities thrive.

 

But it's not just our customers who'll feel your impact. you'll feel it too. Because at ANZ, you'll have the resources, opportunities, and support you need to take the next big step in your career.

 

We're a diverse bunch at ANZ in different roles, different locations, doing different things. That's why we have a range of flexible working arrangements, so our people can 'make work, work for them'. We also provide a range of benefits including access to health and wellbeing services and discounts on selected products and services from ANZ and more.

 

At ANZ, you'll be part of an organisation where the different backgrounds, perspectives and life experiences of our people are celebrated. That's because we're committed to building a workplace that reflects the diversity of the communities we serve. We welcome applications from everyone and encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability or access requirement, let us know how we can provide you with additional support.

 

To find out more about working at ANZ, visit https://www.anz.com.au/careers. You can apply for this role by visiting ANZ Careers and searching for reference number 88643.

Job Posting End Date

13/04/2025 , 11.59pm, (Melbourne Australia)

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Azure Banking Computer Science Data analysis Data management Excel GCP Machine Learning Mathematics PostgreSQL Python SAS SQL Statistics

Perks/benefits: Career development Flex hours Health care Team events

Region: Asia/Pacific
Country: India

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