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23/09 Western Union HR Team
Regional Senior Recruitment Consultant - Talent Acquisition at Western Union

Views:2226 Applications:240 Rec. Actions:Recruiter Actions:0

Western Union - Senior Manager - Customer Analytics - IIT/NIT/IISc (10-15 yrs)

Bangalore/Karnataka Job Code: 495703

The Opportunity: Senior Manager - Customer Analytics

Want to do work on a massively global scale with a FINTECH company that is poised to revolutionize the industry- Get to know WU as we establish a new, world-class Technology Engineering Center (TEC) in Pune, India to support global strategic initiatives. Be one of the first leaders to join the team and help shape our company's digital capabilities and revolutionize an industry!

Among digital, person-to-person, international money transfer providers Western Union is the leader in number of customers, transactions and receive countries. We- ve built a powerful, cross-border technology platform for quickly moving money almost anywhere in the world. What sets us apart is a combination of a physical AND rapidly expanding digital network across 200 countries and territories with access to over 130 global currencies, our global compliance expertise and the proprietary technology behind it all.

We continue to invest heavily in using, and developing technology that allows us to move money seamlessly; eliminating barriers based on location, currency, payment method, platform, etc. Some companies specialize in cash-based retail money transfer and others play only in digital. We are a leader in both!

We are looking for Senior Manager - Customer Analytics, who will lead a small team of data scientists to build and deliver advanced analytics models and solutions across WU business units and functions (e.g., Marketing, Risk, Compliance, Operations, Treasury, Product).

In addition, this role would lead data mining of disparate data streams to derive strategic insights for the business and provide analytics support for new initiatives.

Key responsibilities:

- Develop advanced statistical and machine learning models to answer business problems against large and diverse databases.

- Work with data and IT teams across the organization to ingest and interpret data stream.

- Develop model specifications, codes and outputs to enable implementation by IT or functional data teams.

- Perform R&D around different internal and 3rd party data sources for model development Research newer tools, algorithms, datasets for different business analytic applications

- Break down high level business problems into smaller analytic and modeling exercises for rapid testing and deployment of solutions.

- Communicate model outputs/findings to diverse analytics and business audiences through rich visualizations and decks.

What we require:

- Bachelors or Masters in engineering or related discipline from premier institutes (IIT, IISc, NIT) with strong background in mathematics, statistical methods and data mining

- Ability to partner with business stakeholders to develop solutions for loosely defined problems.

- Team leadership: Must have experience in managing and mentoring a team of analysts

- Strong experience in scripting and statistical programming using R, python, SQL, SAS

- Experience with big data platforms for visualization and processing like Hadoop/Hive/Tableau.

- Self-starter and high degree of attention to detail.

- Strong interpersonal and communication skills. Experience working with geographically distributed teams. Knowledge of one or more business/functional areas.

- 8-12 years of advanced analytics experience across diverse areas such as risk, marketing, new products etc.

- Expertise in statistical modeling, data mining, machine learning model development

- Experience in data analysis on large databases with structured and unstructured data

- Payments or Financial services industry background preferred

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If you- re ready for a challenge and want to be involved in something that will change an industry and impact millions of people and businesses around the world, then apply today!

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Women-friendly workplace:

Maternity and Paternity Benefits

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