Director, Data Solution Engagement

Visa View all jobs

  • Shanghai
  • Permanent
  • Full-time
  • 7 hours ago
Company DescriptionVisa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world.Progress starts with you.Job DescriptionTeam SummaryVisa Consulting & 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 projects with tangible financial results.What a Data Science Manager, VCA does at Visa:The Director will be working together with other members in the team to design and deliver projects with the appropriate analytic methodologies and techniques to solve client's business objectives. The team closely collaborates with business stakeholders to understand the business problem in order to determine the most appropriate analytic approach that provides meaningful results to clients. Responsibilities include delivering projects on time and within scope with an in-depth knowledge of data analytics and cutting-edge data mining techniques as well as the use of predictive, classification and alternate analytic algorithms for modeling and segmentation. These analyses are foundational to corroborate or refute stated hypotheses and are incorporated in the final client-facing solutions. The team is responsible for continuously creating and protecting analytic IP resulting from project learning.Key Responsibilities include:
  • Manage and deliver analytics projects from conception to completion with actionable insights and recommendations.
  • Clearly communicate the findings and recommendations from analysis, drive deployment and implementation of analytics solutions, and track business value impact
  • Support transfer technical knowledge to facilitate implementation of the business solution provided.
  • Document all projects developed, including clear and efficient coding, and write other documentation as needed.
  • Design, implement, and validate advanced analytics and machine learning models to address complex business challenges across Visa and its clients-including issuers, acquirers, and merchants-ensuring scalability, accuracy, and business relevance.
  • Utilize Visa's data and analytic capabilities, technology, and industry expertise to develop, standardized and implement the consulting analytical solutions.
  • Actively seek out opportunities to innovate by using non-traditional data and new modelling techniques fit for purpose to the needs of our clients.
  • Work with large volumes of data, extract and manipulate large datasets using standard tools such as Hadoop (Hive), Spark, Python (pandas, NumPy), SQL, etc.
  • Hands-on skills in cleaning, manipulating, analyzing, and visualizing large data sets.
  • Identify relevant market trends by country, based on a deep analysis of payment industry information. Interacting with several internal and external stakeholders for the strategic definition of analysis and initiatives.
  • Perform client-specific analysis on portfolio data including proprietary information, such as customer demographics, activity, spend levels and financial information.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.QualificationsBusiness Qualifications:
  • Results oriented with strong analytical and problem solving skills, with demonstrated intellectual and analytical rigor
  • Good business acumen with strong ability to solve business problems through data driven quantitative methodologies. Experience in payment, retail banking, or retail merchant industries is preferred
  • Understanding of Cards/Payments and Banking business model would be a plus
  • Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels
  • Detailed oriented, is expected to ensure highest level of quality/rigor in reports & data analysis
  • Proven skills in translating analytics output to actionable recommendations, and delivery
  • Experience in presenting ideas and analysis to stakeholders
  • Exhibit intellectual curiosity and strive to continually learn
  • Proficient in Chinese( Cantonese / Mandarin) language
Technical Qualifications:
  • Minimum of 5-10 years of analytical experience in applying statistical solutions to business problems
  • Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience preferred
  • Hands on experience with one or more data analytics/programming tools such as /Hadoop/SQL/Python/Hive
  • Proficiency in some of the following statistical techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain Monte Carlo, Gibbs Sampling etc., Evolutionary Algorithms(e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks etc.
  • Working knowledge in advanced data mining and modeling: Predictive modeling techniques (e.g., binomial and multinomial regression, ANOVA); Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis); Decision Tree techniques (e.g., CART, CHAID)
  • Demonstrated experience in planning, organizing, and managing multiple analytic projects with diverse cross-functional stakeholders
  • Demonstrated ability to innovate solutions to solve business problems
Additional InformationVisa 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.

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