Treasury and Trade Services Analytics

Overview

The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The Spec Analytics Analyst 2 (C10) reports to the AVP leading the team and works on analyses across the client life cycle: acquisition, engagement, client experience and retention.

What you'll do

• Work on multiple analyses through the year on business problems across the client life cycle for the TTS business.
• Leverage multiple analytical approaches, tools and techniques.
• Work on multiple data sources, including client profile and engagement data, transactions and revenue data, digital data, and unstructured data such as call transcripts.
• Provide data-driven insights to business and functional stakeholders.

What you'll need

• Bachelor's Degree with 3+ years of experience in data analytics, or Masters Degree with 2+ years of experience in data analytics.
• Identifying and resolving business problems (around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention), preferably in the financial services industry.
• Leveraging and developing analytical tools and methods to identify patterns, trends and outliers in data.
• Applying predictive modeling techniques for a wide range of business problems.
• Working with data from different sources, with different complexities, both structured and unstructured.
• Utilizing text data to derive business value by leveraging different NLP techniques.
• Proficient in formulating analytical methodology and identifying trends and patterns with data.
• Ability to work hands-on to retrieve and manipulate data from big data environments.
• Proficient in Python/R, PySpark and related tools.
• Experience in Hive.
• Proficient in MS Excel and PowerPoint.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Organized, detail oriented, and adaptive to a matrix work environment.

Nice to have

• Experience working with data from different sources and of different complexity.
• Experience with PySpark.
• Experience with Tableau.

Details

• Full-time role.
• Location: Bangaluru, Karnataka, India.