Location: Bengaluru, Karnataka, India

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