- The AML Data Capabilities team was established with a mission to own and govern data across products raw data, derivations, organized views to cater for analytics and production use cases and to manage the end-to-end data quality.
- This team comprises of risk data experts with deep SME knowledge of risk data, systems and processes covering all aspects of customer life cycle.
- Our mission is to build and support Anti-Money Laundering Transaction Monitoring data and rule needs in collaboration with Strategy and technology partners with focus on our core tenets of Timeliness, Quality and process efficiency.
Responsibilities include:
- Develop and Maintain Organized Data Layers to cater for both Production use cases and Analytics for Transaction Monitoring of Anti-Money Laundering rules.
- Manage end to end Big Data Integration processes for building key variables from disparate source systems with 100% accuracy and 100% on time delivery
- Partner closely with Strategy and Modeling teams in building incremental intelligence, with strong emphasis on maintaining globalization and standardization of attribute calculations across portfolios.
- Partner with Tech teams in designing and building next generation data quality controls.
- Drive automation initiatives within existing processes and fully optimize delivery effort and processing time
- Effectively manage relationship with stakeholders across multiple geographies
- Contribute into evaluating and/or developing right tools, common components, and capabilities
- Follow industry best agile practices to deliver on key priorities
- Ensuring process and actions are logged and support regulatory reporting, documenting the analysis and the rule build in form of qualitative document for relevant stakeholders.
Minimum Qualifications
- Academic Background: bachelors/masters degree with up to 2 year of relevant work experience
- Strong Hive, SQL skills, knowledge of Big data and related technologies
- Hands on experience on Hadoop & Shell Scripting is a plus
- Understanding of Data Architecture & Data Engineering concepts
- Strong verbal and written communication skills, with the ability to cater to versatile technical and non-technical audience
- Willingness to Collaborate with Cross-Functional teams to drive validation and project execution
- Good to have skills - Python / Py-Spark
- Excellent Analytical & critical thinking with attention to detail
- Excellent planning and organizations skills including ability to manage inter-dependencies and execute under stringent deadlines
- Exceptional drive and commitment; ability to work and thrive in in fast changing, results driven environment; and proven ability in handling competing priorities
Enterprise Leadership Behaviors
Set the Agenda:
- Ability to apply thought leadership and come up with ideas
- Take complete perspective into picture while designing solutions
- Use market best practices to design solutions
Bring Others with You:
- Collaborate with multiple stakeholders and other scrum team to deliver on promise
- Learn from peers and leaders
- Coach and help peers
Do It the Right Way:
- Communicate Effectively
- Be candid and clear in communications
- Make Decisions Quickly & Effectively
- Live the company culture and values
Benefits include:
- Competitive base salaries
- Bonus incentives
- Support for financial-we'll-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- Generous paid parental leave policies (depending on your location)
- Free access to global on-site we'llness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities
