Job summary:

The position's primary responsibility is to support the design and development, maintenance, implementation and validation of tech enhancements, automation modules and Models in financial crimes. This position is also responsible for supporting the development and maintenance of metrics/reporting for Financial Crime risk measurement and is central to the development of a strong global analytics function.

The successful candidate is expected to have proven experience within Financial Crime, data analytics, risk models, and creating intelligent solutions

Job responsibilities:

• The role involves working with different specialized applications to pull data from databases & other sources and use the software to identify patterns and trends in the information. This information will feature in risk intelligence deliverables for senior Bank stakeholders.

• The role will include presenting data in charts, graphs, tables, designing and developing relational databases for collecting data across the Bank and building or designing data input or data collection screens.

• The jobholder will implement measures to contain compliance risk across the business area, including identification of gaps in risk models and approaches to mitigate.

• Deliver Value: Deliver concrete analytical solutions to existing/new business problems using a combination of business understanding as well as advanced tech tools and techniques

• Maintain strong business relations: Establish and maintain a consistent dialog and relationship with Compliance process peers

• Timely and accurate reporting: Provide timely and relevant information through appropriate reporting mechanisms (scorecards, dashboards, monthly management meetings). Design rich data visualizations to communicate complex ideas and automate reporting and controls.

• Identification and sharing of business best practices: Work closely with CCOR officers and other stakeholders across all LOBs and Functions to collaborate and share information arising from process related activities and other initiatives (e.g., trends, systemic issues, control weaknesses).

• Boundary less behavior: Execute special projects as assigned by CCOR management

• Drive the delivery of business insights to strengthen controls and compliance: Leverage basic data exploration techniques (Descriptive and prescriptive/predictive analytics) to support current process based routines that seek to measure compliance to the various laws, regulations and guidelines. Design, build, and execute data quality controls that ensure completeness and accuracy on risk datasets and reports

Required qualifications, capabilities, and skills:

• Qualified graduate from a leading university with 3-7 years of experience in the financial services industry, specifically in Risk and Compliance

• Core Development skills with a technology stack of Python (Data Analytics and Automation), Alteryx (Data Transformation) and Ui Path (Robotics Process Attended Automation)

• Experience in understanding the importance of Data Governance and Data Controls. Document Business Requirements and manage projects/programs end-to-end.

• Strong practical knowledge of analytical techniques and methodologies such as machine learning

• Continuous improvement Mindset: Actively contribute to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the group.

• Excellent verbal and written communication skills – Effective executive summarization of complex business problems and solutions

• Ability to innovate, challenge the status quo and identify automation / process re-engineering opportunities.

Preferred qualifications, capabilities, and skills:

• PEGA, Power Automate, Tableau, Thought Spot