Manager - Financial Crime Data & AI

at  Deloitte

DESCRIPTION:

Job Requisition ID: 36567
World-class learning and leadership programs & opportunities for professional development
Flexible work arrangements – work in a way that suits you best
An entrepreneurial working environment and cutting-edge technologies
Are you looking for the next step in your financial crime consulting career?
About the team
Deloitte Forensic is the pre-eminent forensic practice in Australia, bringing together a team of professionals from across the industry, combining law enforcement, regulatory, consulting, forensic accounting and legal capabilities to advise local, regional and global clients on navigating financial crime challenges. Our growth has created an outstanding opportunity for someone with a hunger for success to join our market leading team. We are a global team with approachable Partners and a constant drive to tackle complex financial crime problems.
Enough about us. Let’s talk about you.
We are looking for a Manager (5+ years professional experience) to join our financial crime practice, with demonstrated experience from consulting, industry, regulatory or law enforcement in one or more of the following financial crime themes: anti-money laundering (AML), counter-terrorism financing (CTF), sanctions and fraud. We are particularly interested in candidates with relevant consulting experience in financial crime data and technology or who have experience in designing, transforming, implementing or running transaction monitoring systems and programs.

THE FOLLOWING SKILLS WILL BE CONSIDERED AN ADVANTAGE:

Experience of implementing, configuring, or maintaining major Financial Crime risk management platforms, such as Customer Due Diligence or Transaction Monitoring systems.
Strong data manipulation and analysis skills (e.g. SQL, R, Python, Hive)
Experience with industry standard RDMS
Database design and development
Data loading and ETL solutions
Reporting and data visualisation tools (Power BI, Tableau, Qlik, D3)
Scripting or programming experience (Python, C#/.NET, Java)
Application development and software lifecycle management experience
Experience of text analytics through use of taxonomies, concept searching, machine learning or clustering
Degree in statistics, computer science or another quantitative field. Advanced degree in related field preferred.
Why Deloitte?
At Deloitte, we focus our energy on interesting and impactful work. We’re always learning, innovating and setting the standard; making a positive difference to our clients and our society. We put coaching at the heart of what we do, helping our people grow their careers in any direction – whether it be up, moving into something new, or even moving across the world.
We embrace diversity, equity and inclusion. We have a diverse collection of people from different backgrounds, with different experiences, gender identities, abilities and thinking styles. What binds us together is a shared commitment to value everyone’s perspective and to cultivate inclusion; so that our work environment is a safe space we can all belong.
We prioritise flexibility and choice. At Deloitte, you get trust on Day 1. We know our people get their best work done when they’re in control of where and how they work, designing their work week around their client, team and personal commitments.
We help you live and work well. To support your personal and professional life, we offer a range of perks and benefits, including retail discounts, wellbeing leave, paid volunteering days, twelve flexible working options, market-leading parental leave and return to work support package

Please refer the Job description for details