Verified Job
Accounting - Finance
Senior AML Systems & Data Analyst
Accounting - Finance
#618601
Remote / WFH
Job Description
Full job description
About the Role
Join our team as a Senior Data Analyst in the heart of Financial Crime Operations (FCO). As the Anti Money Laundering (AML) Systems and Data Analyst, you'll be at the forefront of fortifying our financial crime detection systems, tackling everything from AML to Counter Terrorism Financing (CTF), Transaction Monitoring, Politically Exposed Persons, and Sanctions Screening.
You will be unleashing the power of data and analytics to identify, manage, and mitigate financial crime risk. If you possess strong analytical skills and an eye for detecting financial irregularities, we want to hear from you.
Project Mangement
Produce and oversee regular data analytics deliverables related to Financial Crime Risk, including exploratory data analytics and end-of-month management information reporting.
Manage the pipeline of AML projects, identifying and triaging Transaction Monitoring trigger events, and prioritising the pipeline backlog.
Define and manage the process for new or modified detection scenarios, covering business requirements gathering, feasibility assessment, build, test, calibration, and decisions on implementation.
Collaborate with stakeholders to align pipeline tasks with organisational goals, incorporating emerging risk findings into actionable outcomes.
Lead the change management and post-implementation processes for detection scenarios, ensuring effective integration into operations.
Deliver recommendations from detection scenario reviews, incorporating findings from emerging risk assessments into actionable outcomes, and oversee the implementation of pipeline deliverables based on these recommendations.
Facilitate inquiries by liaising across operational, risk, and technology teams within the BOQ Group.
Ensure compliance with AML/CTF regulations and policies, while staying updated on emerging technologies and trends to enhance pipeline analytics
Systems
Support the development, implementation, maintenance and enhancement of Financial Crime Risk detection systems and data environment.
Provide application support for the Financial Crime detection systems.
Contribute to the development, review and update of process and system documentation.
Contribute to the design of technical data mapping from source to target including transformation rules.
Play a key role in data governance processes and procedures, including the definition, documentation, and refinement of business rules relevant to pipeline deliverables
About you
The following attributes will help you succeed in this role:
Previous experience working in a similar role preferably within financial crime, data analytics or pipeline management activities.
Bachelor’s or Master’s in Data Science, Finance, Computer Science, or a related field.
Proficiency in programming languages and data analytics tools (SQL, R, Python, Power BI, Data Bricks)
Excellent communication skills, both verbal and written.
Ability to work independently or in a team environment.
The following attributes are highly desirable:
Additional training/qualifications in Data Science and Financial Crime Risk e.g., Association of Certified Anti-Money Laundering Specialists (ACAMS).
Experience working with Financial Crime systems - detection/transaction monitoring, screening and case management.
Experience in overseeing and implementing AML/CTF or Sanctions systems and controls such as transaction monitoring and sanctions screening processes.
Previous working in a digital banking environment.
Knowledge in data infrastructure design and development.
About Us
BOQ Group is a truly unique group of challenger brands with a purpose – to provide a genuine alternative to Australian financial services for customers and employees.
About the Role
Join our team as a Senior Data Analyst in the heart of Financial Crime Operations (FCO). As the Anti Money Laundering (AML) Systems and Data Analyst, you'll be at the forefront of fortifying our financial crime detection systems, tackling everything from AML to Counter Terrorism Financing (CTF), Transaction Monitoring, Politically Exposed Persons, and Sanctions Screening.
You will be unleashing the power of data and analytics to identify, manage, and mitigate financial crime risk. If you possess strong analytical skills and an eye for detecting financial irregularities, we want to hear from you.
Project Mangement
Produce and oversee regular data analytics deliverables related to Financial Crime Risk, including exploratory data analytics and end-of-month management information reporting.
Manage the pipeline of AML projects, identifying and triaging Transaction Monitoring trigger events, and prioritising the pipeline backlog.
Define and manage the process for new or modified detection scenarios, covering business requirements gathering, feasibility assessment, build, test, calibration, and decisions on implementation.
Collaborate with stakeholders to align pipeline tasks with organisational goals, incorporating emerging risk findings into actionable outcomes.
Lead the change management and post-implementation processes for detection scenarios, ensuring effective integration into operations.
Deliver recommendations from detection scenario reviews, incorporating findings from emerging risk assessments into actionable outcomes, and oversee the implementation of pipeline deliverables based on these recommendations.
Facilitate inquiries by liaising across operational, risk, and technology teams within the BOQ Group.
Ensure compliance with AML/CTF regulations and policies, while staying updated on emerging technologies and trends to enhance pipeline analytics
Systems
Support the development, implementation, maintenance and enhancement of Financial Crime Risk detection systems and data environment.
Provide application support for the Financial Crime detection systems.
Contribute to the development, review and update of process and system documentation.
Contribute to the design of technical data mapping from source to target including transformation rules.
Play a key role in data governance processes and procedures, including the definition, documentation, and refinement of business rules relevant to pipeline deliverables
About you
The following attributes will help you succeed in this role:
Previous experience working in a similar role preferably within financial crime, data analytics or pipeline management activities.
Bachelor’s or Master’s in Data Science, Finance, Computer Science, or a related field.
Proficiency in programming languages and data analytics tools (SQL, R, Python, Power BI, Data Bricks)
Excellent communication skills, both verbal and written.
Ability to work independently or in a team environment.
The following attributes are highly desirable:
Additional training/qualifications in Data Science and Financial Crime Risk e.g., Association of Certified Anti-Money Laundering Specialists (ACAMS).
Experience working with Financial Crime systems - detection/transaction monitoring, screening and case management.
Experience in overseeing and implementing AML/CTF or Sanctions systems and controls such as transaction monitoring and sanctions screening processes.
Previous working in a digital banking environment.
Knowledge in data infrastructure design and development.
About Us
BOQ Group is a truly unique group of challenger brands with a purpose – to provide a genuine alternative to Australian financial services for customers and employees.
