Role Location: Manyata, BLR
Role Type: Permanent – Full Time
Shift Schedule: Flexible
In this role, you will be supporting the Financial Crime Analytics team in the development, implementation and maintenance of solutions to maintain compliance with Sanctions and AML/CTF obligations. The role is focussed on using both established and emerging infrastructure and technology capabilities to uplift ANZ’s ability to detect potential instances of Financial Crime and improve the overall efficiency of the detection solutions. The role will help to operate and improve key controls related to managing the risk of ANZ’s products and services being used to facilitate financial crime.
What will your day look like
The role has three key focus areas:
Deliver data-driven insights by preparing, analysing and interpreting results and data from the operation of the current Sanctions and AML monitoring detection solutions.
Working collaboratively with a range of stakeholders to design, develop and implement new and improved Sanctions and AML monitoring solutions across all of ANZ’s business units and geographies.
Ongoing monitoring and uplift of solutions to demonstrate effective operation and identify potential improvements.
What will you bring?
We know not everyone will bring all of the skills and experience, and at ANZ we are focused on people bringing a growth mindset to their approach to work. Some of the skills we are looking for are below, but don’t worry if you don’t have all of these as learning on the job is the way we work.
But back to some of the skills –
Strong financial crime domain understanding, Sanctions/AML/WLM/PEP screening including strong understanding of sanctions & AML filters/lists management and tuning methodologies
Strong analytical, numerical, conceptual, and problem solving skills.
Excellent communication and documentation skills.
Experience in analysing large datasets, with strong SQL skills and experience developing complex queries.
Experience analysing data and implementing solutions in one or more of Python, SAS, R and other data science technologies, including exposure to Machine Learning.
Advanced Excel, VBA and PowerPoint skills.
Strong focus on learning and extending skills and capabilities in regards to data analysis, data science, with a view to potential advancement into more senior positions.
Energetic and outcome focused, with a desire to be involved in delivery and implementation of solutions and willingness to work within an agile delivery framework across multiple initiatives in parallel.
Understanding of payments and compliance systems and technology change management processes.
Ability to work effectively using time management, collaboration and ownership within a virtual team environment.
So, why join us?
At ANZ, everything we do boils down to ‘why’ – our purpose – to shape a world where people and communities thrive. We’re just as focused on seeing our people thrive as well as our customers. We’ll give you every opportunity to develop your career.
We are responding faster to changing customer requirements, focusing on the things that matter the most, energising our people, eliminating waste and reducing bureaucracy.
A happy workplace is a thriving one. So to attract and keep the best talent, and say thanks for the hard work, we make sure all our employees are rewarded.
We work flexibly at ANZ and encourage you to talk to us about how this role can be flexible for you. Some of the work we do can be done from home, and some from an ANZ workplace – it’s all about what works for your team, and above all else, our customers!
We want to make sure everyone has an inclusive and supportive experience throughout our recruitment process and when joining ANZ. If you are a candidate with a disability, and require adjustments to our recruitment process or the role itself let us know how we can provide you with additional support.
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Job Posting End Date
03/06/2022, 11.59pm, (IST)