DescriptionRisk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.
The Credit Risk Innovation & Analytics team is a global center of excellence with underwriting, technology, innovation, analytics and reporting responsibilities. The team works in conjunction with senior leaders in Lending Solutions, Collateral Risk Management, Credit Middle Office and Credit Risk to provide global solutions for a diverse portfolio of products and collateral types.
Job summary
As a Data Visualization Associate within Credit Risk, you will collaborate with stakeholders to understand their data requirements and objectives. You will work closely with data analysts and data scientists to analyze and interpret data, identifying key insights and patterns that need to be communicated visually.
You will make use of data visualization tools such as Tableau, Power BI, or Python libraries to create compelling visualizations. Design intuitive and visually appealing charts, graphs, dashboards, and interactive visual representations that effectively convey the intended message and highlight key insights.
Job Responsibilities:
- Responsible for Data Exploration and Discovery: Explore datasets to uncover trends, outliers, and relationships. Utilize interactive visualizations to allow stakeholders to interact with the data, drill down into details, and discover insights on their own.
- Design and develop interactive dashboards that consolidate multiple visualizations and key metrics in a single view. Ensure the dashboards are user-friendly, intuitive, and provide the necessary level of interactivity for stakeholders to explore and analyze data effectively.
- Work closely with business stakeholders, data analysts, data scientists, and other teams to understand their data visualization needs. Collaborate to define visualization requirements, iterate on design concepts, and incorporate feedback to deliver high-quality visualizations that meet stakeholders' expectations.
- Perform data quality checks on the underlying datasets to ensure accuracy, consistency, and integrity. Validate the visualizations against the source data to ensure the accuracy of the information being presented.
- Responsible for staying updated on Visualization Best Practices: Keep abreast of the latest trends, techniques, and best practices in data visualization. Stay updated on advancements in visualization tools and technologies. Continuously develop your skills in data visualization, graphic design, and user experience to enhance the quality and effectiveness of your visualizations.
- Document and Training: Document the design choices, methodologies, and assumptions made during the visualization process. Prepare user guides and documentation to help stakeholders understand and navigate the visualizations. Conduct training sessions or workshops to educate stakeholders on how to interpret and use the visualizations effectively.
- Collaborate with cross-functional teams and stakeholders to ensure alignment between data analysis, interpretation, and visualization. Communicate complex findings and insights in a clear and concise manner, tailoring the visualizations to the specific needs and understanding of different audiences.
Required Qualifications, Skills and Capabilities:
- Bachelors degree in Computer Science, Finance, Math OR equivalent professional experience
- 3+ years of analytics experience
- Proven track record of identifying and implementing fit-for-purpose analytic solutions to address different business processes
- Strong story telling proficiency using Data Visualization tools such as Qlik, Power BI, or Tableau
- Experience with SQL variants for querying various database platforms
- Experience working on data wrangling tools such as Alteryx in order to source, integrate and prepare the data for dashboards