Treasury and Trade Services Analytics

TTS Analytics C10   What do we do? The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The team works on business problems focused on driving acquisitions, cross-sell, revenue growth & improvements in client experience. The team extracts relevant insights, identifies business opportunities, converts business problems into analytical frameworks, uses big data tools and machine learning algorithms to build predictive models & other solutions, and designs go-to-market strategies for a huge variety of business problems.   ROLE DESCRIPTION The role will be Spec Analytics Analyst 2 (C10) in the TTS Analytics team The role will report to the AVP leading the team The role will involve working on multiple analyses through the year on business problems across the client life cycle – acquisition, engagement, client experience and retention – for the TTS business This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (client profile & engagement data, transactions & revenue data, digital data, unstructured data like call transcripts etc.) to provide data driven insights to business and functional stakeholders   QUALIFICATIONS   Experience: Bachelor’s Degree with 3+ years of experience in data analytics or Masters Degree with 2+ years of experience in data analytics Must have: 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

Good to have: Experience working with data from different sources and of different complexity

Skills: Analytical Skills: Proficient in formulating analytical methodology, identifying trends and patterns with data Has the ability to work hands-on to retrieve and manipulate data from big data environments   Tools and Platforms: Proficient in Python/R, PySpark and related tools Experience in Hive Proficient in MS Excel, PowerPoint Good to have: Experience with PySpark Experience with Tableau

Soft Skills: Strong analytical and problem-solving skills Excellent communication and interpersonal skills Be organized, detail oriented, and adaptive to matrix work environment  

Job Family Group: Decision Management

Job Family: Business Analysis

Time Type: Full time

Most Relevant Skills Please see the requirements listed above.

Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.

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