Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in the Transformation team to partner with the Business.

 

Job Summary:

As an AML/KYC Business Analyst within the AML/KYC Analytics team, you will play a crucial role in delivering customer insights to promote data-promoten decision-making throughout the product development lifecycle.  This role offers opportunities to contribute thought leadership with exposure to senior leadership. Your technical skills, attention to detail, and strong project management skills will be key to your success.  You will use your advanced SQL and Alteryx Analytical tools and project management expertise to deliver insights/reporting on exciting service features and capabilities. We are looking for an enthusiastic, self-motivated senior analyst with strong execution skills and demonstrated experience managing a diverse suite of analyses.  This role requires critical thinking, analytical storytelling, presentation, technical abilities, and flexibility/ adaptability to change.

Job Responsibilities:

Support & lead partnerships with key AML/KYC Governance and Oversight stakeholders and AML/KYC Product groups with strong understanding of business drivers, underlying data and processes Support demand mitigation programs by providing data and analytics leadership across the servicing organization. Use analytical tools such as trend analysis, segmentation, optimization, and other techniques to improve business function performance.  Analyze customer interactions and events across a variety of channels (calls, branch, online, mobile) to better understand customer journeys and friction points. Manage multiple deliverables focused on gaining insight into various issues and questions that often arise through our current monitoring processes as well as enhancing existing monitoring processes. Contribute to business cases, construct test designs, and identify populations for pilot programs; analyze program performance and derive insights to help inform future customer strategies. Prepare and deliver presentations summarizing sharp insights and conclusions, often for executives, in regularly-scheduled analytics meetings chaired by the analyst in this role. Support the creation of dashboards and visualizations to measure the impact of implemented products and provide management with self-service tools to explore and report on current trends of key metrics. Embrace a growth and learning mindset; curious and creative; collaborative, team-oriented and client-focused; motivated by business and technical challenges

Required qualifications, capabilities, and skills:

Minimum 3 years of related experience. Bachelor's degree in a quantitative or related field required. Hands-on experience with standard data analytics tools and technologies (SQL, Tableau, Alteryx, AWS). Familiarity with data mining, statistical modeling, machine learning and other advanced analytics methods. Experience delivering analytics solutions following an Agile methodology. Collaborate with the Area Product Owners and Business SMEs to formulate quantifiable goals for measurement; advise on strategies and experimentation required to achieve business goals. Able to communicate effectively with Senior leaders to enable collaboration, decision-making, and transparency, with great presentation skills. Entrepreneurial drive, ability to analyze problems, design solutions, and communicate effectively and confidently with relevant stakeholders to influence and gain buy-in across various job functions. Self-motivated, goal-oriented, and able to manage and deliver in an innovation-driven and fast-paced environment.

Preferred qualifications, capabilities, and skills:

Experience with AML/KYC reporting preferred. Experience with visualization techniques for data analysis and presentation (Alteryx, Tableau, SQL preferred) Basic skills with JIRA, Confluence Familiarity with Cloud (AWS, Snowflake) based data solutions and tools Proficiency in Microsoft Word, Excel, PowerPoint Experience with ICDW or other Chase Data sources are strongly preferred.