Are you a strategic thinker, looking for your next opportunity within the controls organization of the Commercial and Investment Bank (CIB)? We are looking for someone like you. 

As a Senior Associate in the Operational Risk Framework team, you will be a highly skilled and motivated Data Analytics Specialist. You will have a strong background in data analysis and a deep understanding of tools like Alteryx and Tableau and strong knowledge of SQL. In this role, you will play a critical role in analyzing large datasets, generating insights, and presenting findings to key stakeholders and Senior Management. This is a great opportunity to leverage your skills and make a significant impact in our team.

Job Responsibilities

Support CIB Op Risk Framework Data & Metrics Lead to document, streamline and deliver metrics. Collaborate with cross-functional teams to identify data analysis needs and develop solutions using Alteryx and Tableau. Design, develop, and maintain data models, dashboards, and reports in Tableau to visualize complex data sets. Perform data analysis, data mining, and data cleansing to identify trends, patterns, and insights. Conduct ad-hoc analysis and deep dives into data to answer business questions and support decision-making. Identify areas for process improvement and automation to streamline data analysis workflows. Present findings and insights to stakeholders in a clear and concise manner. Stay up-to-date with industry trends and best practices in data analytics and visualization.

Required qualifications, capabilities and skills

High attention to detail. Bachelor's degree in a relevant field such as Data Science, Computer Science, or Statistics. Proven experience in data analysis, data modeling, and data visualization using tools like Alteryx and Tableau. Strong knowledge of SQL and proficiency in querying and manipulating large datasets. Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights. Strong attention to detail and ability to work with accuracy in a fast-paced environment. Excellent communication and presentation skills, with the ability to effectively communicate complex findings to both technical and non-technical stakeholders. Ability to work independently, prioritize tasks, and meet deadlines.

Preferred Qualifications,  capabilities and skills

Experience with other data analysis and visualization tools such as Python or Power BI. Knowledge of statistical analysis techniques and predictive modeling. Familiarity with data warehousing concepts and ETL processes. Experience working with large-scale databases and cloud platforms.

The candidate must have relevant experience in banking and financial environment and broad knowledge of Operational Risk & Control, looking to take on a new challenge in a fast paced and ever-changing environment.