Posted By
Posted in
Banking & Finance
Job Code
1436330
Roles and responsibilities :
- Support the Whole Loan Trading team through data analysis and enable data-driven decision making
- Gather, clean and organize data from various sources, ensuring data integrity and accuracy through rigorous data quality checks and validation processes.
- Design and maintain interactive dashboards, reports and visualizations to effectively communicate insights and enable data-driven decision-making.
- Develop and implement data models, algorithms and analytical frameworks to uncover patterns, trends and opportunities within the mortgage data.
- Collaborate with cross-functional teams to understand business requirements and translate them into actionable data solutions.
- Continuously explore new data sources and techniques to enhance the team's analytical capabilities.
Skills required :
- Strong proficiency in SQL and Python, with experience in data manipulation, analysis and visualization libraries (e.g., Pandas, NumPy, Matplotlib, Plotly/Dash).
- Understanding of Whole Loans and the mortgage industry is a significant advantage.
- Expertise in data visualization tools such as Tableau or Power BI, with the ability to create compelling and insightful visualizations.
- Excellent analytical, problem-solving and critical thinking skills, with a keen eye for identifying patterns and trends in complex data sets.
- Strong attention to detail and commitment to data accuracy and integrity, with a passion for ensuring data quality.
- Ability to communicate complex data insights to both technical and non-technical audiences, with strong presentation and storytelling skills.
- Collaborative and team-oriented, with excellent interpersonal and communication skills
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Posted By
Posted in
Banking & Finance
Job Code
1436330
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