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 Analytics team to partner with the Business.
As a Analytics Solutions Associate in the WLS team, you will leverage data analytics, machine learning, and business acumen to drive insights, optimize processes, and support strategic decision-making in wholesale lending operations.
Job responsibilities:
- Develop and execute POCs for new or enhanced lending products, leveraging innovative technologies and analytics to streamline workflows, reduce manual effort, and improve overall efficiency within the lending process
- Integrate AI-driven analytics into dashboards for real-time insights, automated commentary, and dynamic visualizations.
- Identify bottlenecks and optimize workflows by analyzing process data with AI tools.
- Analyze unstructured data (e.g., client communications, loan documents) to extract insights, summarize information, and support compliance.
- Engage regularly with stakeholders to gather requirements, clarify objectives, and align project deliverables with business needs.
- Monitor progress of tasks and issues in JIRA, ensuring timely updates and resolution of blockers.
- Collaborate with product owners and technical teams to define acceptance criteria and validate completed work.
- Collaborate with technical teams to integrate AWS and Snowflake solutions into existing workflows for enhanced scalability and performance.
- Stay updated on the latest AWS and Snowflake offerings, recommending innovative tools and technologies to improve operational efficiency
Required qualifications, capabilities and skills:
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field
- Proficiency in Python and/or R for data analysis and modeling
- Strong knowledge of SQL for data extraction and manipulation
- Strong experience with machine learning algorithms and statistical modeling techniques
- Ability to clean, preprocess, and analyze large datasets
- Familiarity with data visualization tools (e.g., Tableau, QlikSense etc. )
- Strong knowledge of Snowflake and AWS
Preferred qualifications, capabilities and skills
- Experience in financial services, banking, or lending domain
- Exposure to NLP, time series analysis, or advanced ML techniques
- Experience with workflow automation and dashboard development, Alteryx and Sigma
- Familiarity with version control systems (e.g., Git)
- Understanding of data governance, privacy, and compliance requirements
- Experience working in Agile or cross-functional teams
- Working knowledge of Jira
