Senior Manager, Data Science, MENA, Visa, Dubai, UAE

Company Description

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Join Visa: A Network Working for Everyone.

Job Description

For Senior Manager of Data Science role in the Middle East and North Africa (MENA) Data Science team, we are seeking an innovative and analytical thinker to champion our data-driven strategies within the region. As a Data Science Senior Manager, you will participate in business development, build predictive and prescriptive models, and develop context-based prototypes and high-impact storyboards that promote data-driven strategies and solutions for Visa clients. This role is dedicated exclusively to working for on a key client account based in the UAE market.

Principal Responsibilities

Identify innovation opportunities around data and data-related processes that will help our clients implement fact-based decisioning processes within their cards and payments program

Work entails heavy focus on transaction data modelling and analytics for cards and payments products Work with a broader team that consists of Business Managers, Consultants and Data Scientists from both Visa and client organisations to strategise, co-create, deploy, and reap the benefits of data-driven solutions

Work with regional and global Data Science teams to develop high-quality analytic products and solutions that promote Visa’s growth in the region

Keep Visa at the forefront of technological advancement in Data Science by introducing cutting-edge tools and techniques for generating business insights

Develop next-generation analytic methods where existing tools and techniques are inadequate to address business challenges

Review, direct, guide, and inspire the analytical work of junior members in the team

Collaborate with internal Technology partners and Data Engineering function to best leverage Visa’s internal technology platforms, data, and the broader Visa ecosystem to support our clients’ technical data needs

Manage workload for self and any direct reports, providing prioritisation guidance for project flow to improve process efficiency

Manage and grow talent within the team

Develop, share, and build global best practices and knowledge management within the team

Socialize innovative ideas and approaches that are scalable and have market demand

Champion internal requirements around Model Risk Management, Visa Analytics Rules, and Global Privacy standards around client delivery to ensure that Visa’s highly regarded market standing is maintained

Qualifications

Minimum of 10+ years of expertise in applying Machine Learning solutions to business problems – model development and production experience required

Post-graduate degree (Masters or PhD) in a quantitative field such as Statistics, Mathematics, Data Science, Operational Research, Computer Science, Informatics, Economics, or Engineering

Experience working in one or more of the Card & Payments markets around the globe; with specific responsibilities in payments, retail banking, or retail merchant industries

Good understanding of Payments and the Banking industry, including card verticals such as consumer credit, consumer debit, prepaid, small business, commercial and co-branded product

Expert knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologies, with demonstrated ability to incorporate new techniques to solve business problems

Experience planning, organizing, and managing multiple large projects with diverse cross-functional teams, including resource planning and delivery implementation Experience in presenting ideas and analysis to stakeholders whilst tailoring data-driven results to various audience levels

Proven ability to deliver results within committed scope, timeline, and budget

Very strong people/project management skills and experience

Ability to travel within MENA on short notice

Technical Expertise

Expertise in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)

Familiarity with both common computing environments (e.g., Linux, Shell Scripting) and commonly used IDE’s (Jupyter Notebooks); proficiency in SAS technologies and techniques

Strong programming ability in different programming languages such as Python, Pyspark Scala, and SQL

Experience in drafting solution architecture frameworks that rely on API’s and micro-services

Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain Monte Carlo, Gibbs Sampling, Evolutionary Algorithms (e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks, etc.

Expert knowledge of advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial, and multinomial regression, ANOVA); Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis); Decision Tree techniques (e.g., CART, CHAID)

Hands-on experience on Azure Machine Learning platform starting from feature engineering, development, validation, and deployment of the models.

Leadership Competencies

Demonstrates integrity, maturity, and a constructive approach to business challenges

Serves as a role model for the organization by implementing core Visa Values

Shows respect for individuals at all levels in the workplace

Strives for excellence and extraordinary results

Uses sound insights and judgments to make informed decisions in line with business strategy and needs

Able to allocate tasks and resources across multiple lines of businesses and geographies

Able to influence senior management both within and outside Data Science

Successfully persuading internal stakeholders to commit to best-in-class solutions, when required

Leverages change management leadership as required

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.

https://jobs.smartrecruiters.com/Visa/743999900809092-senior-manager-data-science-mena

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