Vice President, Services Payments Analytics

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Job Overview

What do we do?

• The Services 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

• This opening is for a Vice President role in the team

• This is a “Manager of managers” role, and will have people managers as direct reports

• The role will report to the Sr. Vice President (SVP) leading the particular area of analytics

• 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 Services 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 reports, email etc.) to provide data driven insights to business and functional stakeholders

QUALIFICATIONS

Experience:

• 10 to 14 years of hands-on experience in business analytics

• MBA / Master’s degree in Economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute, or BTech / B.E in Information Technology / Information Systems / Computer Applications

• (Preferred) Postgraduate in – Computer Science, Mathematics, Operations Research, Statistics, Econometrics, Management Science and related fields

• (Preferred) Business analytics experience in banking or financial services industry

• Must have:

  • Marketing analytics experience

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

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

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

  • Predictive modeling using Machine Learning

• Good to have:

  • Experience in financial services

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

Skills:

Analytical Skills

• Proficient in converting business problems into analytical frameworks

• Strong logical reasoning ability

• Experience in usage of different analytical techniques, like segmentation, predictive modeling, time series forecasting, hypothesis testing, optimization etc.

• Established competency in working with data from multiple sources

Soft Skills

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

• 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.

Tools and Platforms:

• Proficient in Python/R, SQL

• Proficient in MS Excel, PowerPoint

• Good to have:

  • Experience with PySpark

  • Experience with Tableau

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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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