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Manager, Data Science - Visa Consulting and Analytics

AT Visa
Visa

Manager, Data Science - Visa Consulting and Analytics

Mumbai, India

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Visa Consulting and Analytics (VCA) is Visa s consulting division, serving Visa s clients (including card issuers, acquirers and merchants) and solving their strategic problems focused on improving performance and profitability. Drawing on our expertise in strategy consulting, payments, data analytics, marketing, operational and macroeconomics, VCA drives high impact and tangible financial results.

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The individual will be part of VCA Data Science geographic team cluster of India and South Asia (INSA) markets, and will be responsible for supporting data science engagements with Visa s clients. The team is involved in a comprehensive range of consulting services and data-driven solutions to our clients, that address unique challenges in areas such as strategic growth, profitability, risk management, digital strategy and portfolio management.

What a Data Scientist, Visa Consulting & Analytics does at Visa:

The Data Scientist will be a member of VCA Data Science team in Asia Pacific and report to Senior Manager/Director in the INSA cluster. This position will be based in Visa's Mumbai office.
 

The individual will be supporting the development and implementation of analytics-driven strategies as well as high-impact solutions for Visa clients. He/she will bring in prior experience in data science, modelling and data-driven insights to solve complex problems and unlock business value.
 

Key responsibilities include:

  • Support and deliver data science engagements for India and South Asia clients using multiple data sources.

  • Develop Strategic benchmarking dashboards and data solutions for top banks and fintechs in India and South Asia market to help them in portfolio management and optimization.

  • Managing end to end delivery of hub models and solutions to clients in INSA market.

  • Experience in building predictive models using advanced machine learning techniques.

  • Ability to interpret and present modeling and analytical results to clients.

  • Clearly communicate findings and recommendations, data-driven insights to clients and stakeholders.

  • Ensure consistency, standards & quality control of deliverables, with coding and project documentation up to date.

  • Optimize and automate the benchmarking dashboards by collaborating with Hub teams, Data engineering teams and IT.

  • Manage time across multiple reports/projects and ensure timely delivery to clients while maintaining accuracy.

  • Communicate effectively with clients to understand the business requirements and do end to end scoping for the project deliverables.

  • Help in pitching benchmarking dashboards to various clients and resolve queries on timely basis.

  • Seek out opportunities to innovate by using Visa data, client data and non-traditional data fit for purpose to the needs of our clients.

Why this is important to Visa-

As payments consulting arm of Visa, VCA is growing a team of highly specialized experts who can provide best-in-class payment expertise and data-driven strategies to clients. We’re building a high-performing team of data scientists, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce with cutting-edge, creative and advanced analytic solutions. The purpose of the team is to help Visa s clients grow their business and solve problems by providing consulting services through the use of data. 

 

Qualifications

What you will need:

- Bachelor’s degree (Masters would be an advantage) in quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience
- Minimum 5 years of experience in data-based quantitative analysis and predictive modeling.
- Experience with extracting and aggregating data from large data sets using SQL, Hive, Spark, or other data extraction tools.
- Must have proficiency with Python ,Tableau, Hive, SQL, PowerPoint and Excel.
-Hands on experience and proficiency in designing and building dashboards independently using Tableau.
- Practical experience in building and applying machine learning models (regression, clustering, classification etc)
-Excellent analytical skills with demonstrated ability to solve business problems with data.
-Excellent communication skills -verbal & written.
- Self-motivated individual with the ability to progress on multiple priorities concurrently.
- Willingness to travel 20% or more

What will also help:

- Exposure/prior work experience in payments and/or banking industry
- Strong hold on MS Excel and PowerPoint

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Client-provided location(s): Mumbai, Maharashtra, India
Job ID: 7fd45b77-f532-42f1-9c7d-42641bd9f195
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Long-Term Disability
    • HSA With Employer Contribution
    • On-Site Gym
    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Health Reimbursement Account
    • Mental Health Benefits
    • Virtual Fitness Classes
    • HSA
  • Parental Benefits

    • Fertility Benefits
    • Family Support Resources
    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
    • Happy Hours
    • Casual Dress
  • Vacation and Time Off

    • Paid Holidays
    • Paid Vacation
    • Volunteer Time Off
    • Summer Fridays
    • Leave of Absence
    • Personal/Sick Days
  • Financial and Retirement

    • 401(K)
    • Relocation Assistance
    • Performance Bonus
    • Stock Purchase Program
    • Company Equity
    • 401(K) With Company Matching
    • Financial Counseling
  • Professional Development

    • Shadowing Opportunities
    • Access to Online Courses
    • Promote From Within
    • Learning and Development Stipend
    • Tuition Reimbursement
    • Mentor Program
    • Leadership Training Program
    • Associate or Rotational Training Program
    • Lunch and Learns
    • Internship Program
    • Professional Coaching
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)