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 Vice President (C13) for Pricing Analytics in the TTS Analytics team

• The role will report to the SVP leading the team

• The role will involve leading a team of analysts across C9-C12 levels

• The role will involve leading multiple analyses through the year on optimizing pricing for existing clients across products, as well as recommending best price for new deals to be signed with prospective clients

• 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 & contracts etc.) to provide data driven insights to business and functional stakeholders

QUALIFICATIONS

Experience:

• 10-13 years of experience in data analytics

• Must have:

  • Pricing analytics experience

  • Experience on business problems around pricing optimization, sales/marketing strategy optimization, cross-sell and retention

  • Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.

  • Predictive modeling using Machine Learning

  • Experience with unstructured data analysis, e.g. call transcripts, using Natural language Processing (NLP)/ Text Mining

• Good to have:

  • Experience in financial services

  • Experience working with data from different sources and of different complexity

Skills:

Analytical Skills:

• Ability to understand complex business problems, break them down into simpler solvable parts and develop analytical approaches to tackle them

• Strong logical reasoning and problem-solving ability

• Proficient in converting business problems into analytical tasks, and analytical findings into business insights

• Proficient in identifying trends and patterns with data

Tools and Platforms:

• Proficient in Python/R, SQL

• Experience in Hive

• Proficient in MS Excel, PowerPoint

• Good to have:

  • Experience with PySpark

  • Experience with Tableau

Soft Skills:

• Ability to drive clear and comprehensive communication flow between business stakeholders and the team and vice versa, translating analytical findings into key insights and actionable recommendations

• Building and managing high performance teams

• Ability to coach and mentor team members on an ongoing basis

• Ability to drive ideation on analytical projects to tackle strategic business priorities

• Comfort on working with ambiguity and open-ended questions

• Strong process/project management skills

• Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Decision Management

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Job Family:

Specialized Analytics (Data Science/Computational Statistics)

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

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

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