Director (Application Scorecard Specialist) - Analytics & Data Products is a key member of the Analytics & Data Products team. The incumbent will be responsible for developing application scorecards / credit scorecards to support Visa's clients as well as data analytics solutions to solve complex business problems. Here, you will be required to work with large data sets using quantitative techniques and build complex statistical models that learn from big data. Data sets will include alternate data sourced from non-traditional data vendors and data from diverse systems maintained by card issuing clients. We have a highly collaborative process and you are required to work across multiple teams and functions for developing cutting edge, creative and advanced analytic solutions and processes.
The incumbent will work 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 big data and cutting edge data mining techniques as well as the use of predictive, classification and alternate analytic algorithms for modeling and segmentation.
Analytics & Data Products team is a key part of the Global Solutions organization at Visa; this is a high-performing team of data scientists, data analysts, statisticians, and business analysts from a variety of countries – serving major FIs and merchants within Asia Pacific. Analytics & Data Products is looking for a hands-on person that earns trust and respect of the team. The person must be results oriented, highly organized, and must, must be focused on delivering innovative analytics work.
Responsibilities
Directing and executing multiple medium to large analytic projects along with rest of the stakeholders in the Analytics & Data Products team
Develop credit scorecards, engage clients, develop strategies, testing & monitoring frameworks and in totality oversee the deployment of application scorecards
Engage and work with external clients from risk, products, portfolio, etc during the process of identification of data, development of scorecard and deployment
Actively seek out opportunities to innovate by using non-traditional data and new modeling techniques
Collaborating with the internal teams to fully understand business requirements and desired business outcomes
Defining detailed analytic scope and methodology, and creating analytic plan
Executing on the analytic plan with appropriate data mining and analytic techniques
Providing thought leadership in both using data to solve business problems and in arriving at innovative statistical solutions
Ensuring all project documentation is up to date and maintain the highest levels of quality in deliverables
Ensuring project delivery within timelines and budget requirements
Contribute to the development of the team's analytical skills and business knowledge
Work as independent contributor mostly and as a team lead if needed by providing guidance to other team members when required
Enhancing existing analytic techniques by promoting new methodology and best practices in analytics field
Providing subject matter expertise and quality assurance of complex data driven analytic projects
Qualifications
Technical
Minimum of 10 years of analytical experience in applying statistical solutions to business problems
Post Graduate degree (Masters or Ph.D.) in Quantitative field such as Statistics, Mathematics, Computer Science, Economics, or equivalent experience preferred
Hands on experience with one or more data analytics/programming tools such as SAS/Salford SPM/Hadoop/R/SQL/Python/Hive
Experience in developing credit / application scorecards. Experience in overseeing deployment will be a plus
Experience in model validation and setting up scorecard monitoring framework will be a strong advantage
Understanding of credit bureaus and non-traditional data providers will be a plus
Proficiency in some of the following statistical techniques: Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Neural
Networks, Clustering, Principal Component Analysis, Factor analysis, etc
Demonstrated experience in planning, organizing, and managing multiple analytic projects with diverse cross-functional stakeholders
Demonstrated ability to innovate solutions to solve business problems
Business
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 cards/payments, retail banking, or retail merchant industries is important
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
Send To A Friend
Subscribe to us
100% Free.
close