Python Job: Director, AML Analytics

What is the opportunity?

As Director, AML Analytics, you are responsible for providing an analytics strategy in the design and implementation of the AML Investigator of the Future platform. This is transformational role that arises from two emerging trends in anti-financial crime programs: the propagation of data / analytics capabilities used to detect financial crime and the need to identify increasingly complex-organized money laundering operations. You work with AML Insight and Analytics, the AML Transformation Office and the AML Financial Intelligence Unit to build and deliver leading edge analytic detection and investigative capabilities. In addition, you leverage your past investigative experience and knowledge of graph analytics to provide technical expertise and insights into complex investigations.

What will you do?

• Apply sophisticated modelling techniques, including graph and machine learning analytics, to develop and implement components of the AML Investigator of the Future platform

• Establish a development roadmap for network risk scoring (batch and dynamic) by defining the prevalent features that will be integrated into the monitoring program and used in the course of an investigation

• Explore application machine learning techniques and network analysis around threat/risk typologies, client segmentation, entity resolution, and alert risk scoring for effective deployment of analytics to the AML program

• Enable the next generation of analytics tools for investigations

• Provides analytic support for complex investigations by providing detection strategies, investigative insights, network analysis and macro level analysis

• Proactive Data Investigative Analytics –Actively pursue opportunities to provide relevant and valuable intelligence to the Financial Investigation Unit and Major Financial Crimes

• Identify opportunities to streamline or automate processes to promote efficient and effective use of resources

• Explore data availability and usage across Financial Crimes to spot opportunities for system or process enhancement

What do you need to succeed?

Must-have

• Experience with AML or fraud modeling and investigation environments that utilize detection / predictive models

• Programming experience ideally using an object oriented programing language such as Java, Scala (ideally), R or Python.

• Minimum of 5 years of experience leading a data science or analytics team

• Agile development methodology

• Statistical approaches and methods and their application on projects

• Post-secondary education or equivalent.

Nice-to-have

• Graduate degree (MBA or relevant subject matter area)

• Data mapping, meaning of relational data and object orientation.

• Understands projects needs and can translate into detection models and capabilities.

• Model documentation, ideally AML model governance

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation

• Leaders who support your development through coaching and managing opportunities

• Ability to make a difference and lasting impact

• Flexible work/life balance options

• Work in a dynamic, collaborative, progressive, and high-performing team

• Opportunities to do challenging work