Risk Data Science Manager

The Manager of Data Science is one of the risk roles in the Central Europe Middle East and Africa (CEMEA) Data Science risk team.  We are seeking an innovative and analytical thinker to champion our data-driven strategies within the region. As a Data Science Risk Manager you will participate in building predictive and prescriptive models and develop context-based prototypes and high-impact storyboards that promote data-driven strategies and solutions for Visa clients. The position will primarily focus on engagements in the area of fraud and operational risks deep risk analytics risk scoring as well as marketing solutions from Merchant / Acquiring.

Principal Responsibilities

• Work entails heavy focus on developing and implementing best-in-class risk analytic solutions inclusive of scoring and non-scoring models. Create and deliver powerful insights from data through better visualization and storyboarding
• Work with a broader team that consists of Business Managers Consultants and Data Scientists from both Visa and client organizations to strategize 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 Visas 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
• Ability to quickly understand and process alternate / non-conventional data sources / platforms and develop AI based advanced prediction algorithms
• Develop next-generation analytic methods where existing tools and techniques are inadequate to address business challenges
• Collaborate with internal Technology partners and Data Engineering function to best leverage Visas 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 prioritization guidance for project flow to improve process efficiency
• 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 Visas highly regarded market standing is maintained

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications :

Professional Experience

Minimum of 6 years of expertise in applying Machine Learning solutions to business problems model development and production experience required

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

Excellent knowledge experience and understanding of quantitative techniques (modelling statistics root-cause etc.) applied to Risk Management with a focus on Card and Payments. Familiarity with key Risk and Performance Indicators. 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

Develop Risk advisory related knowledge and capabilities creating next generation risk engagement with Visa clients specializing in Merchant / Acquiring side of payment processing

Knowledge of Merchant fraud engines / solutions like CYBS / MPGS is preferred

Partner with in-market VCA consultants and data scientists to deliver risk-related advisory engagements

Establish Intellectual Property (IP) risk repository for VCA by capitalizing on learnings from consulting engagements (e.g. build standard methods create library of case studies templatize modeling codes)

Reengineer and / or package risk consulting methodologies and data driven solutions as appropriate ensuring world-class best practices and efficiency through economies of scale

Partner with other Visa functions (e.g. Risk Products) to capitalize on existing risk products / solutions and co-design new ones leveraging Visas assets (expertise data capabilities)

Proven ability to deliver results within committed scope timeline and budget

Very strong project management skills and experience

Ability to travel within CEMEA 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.)

Strong understanding and experience of modern technology stack and microservice architecture including Kotlin Spring boot PostgreSQL Kafka AWS

Relevant experience of engineering unstructured / structured data from Telco Supermarket Social Media Online logs E-commerce etc is preferrable

Ability to write scratch MapReduce jobs and fluency with Spark frameworks

Familiarity with both common computing environments (e.g. Linux Shell Scripting) and commonly-used IDEs (Jupyter Notebooks) proficiency in SAS technologies and techniques is preferred

Strong programming ability in different programming languages such as Python R Scala Java Matlab C and SQL

Experience in drafting solution architecture frameworks that rely on APIs and micro-services

Familiarity with common data modeling approaches and ability to work with various datatypes including JSON XML etc.

Ability to build data pipelines (e.g. ETL data preparation data aggregation and analysis) using tools such as NiFi Sqoop Ab Initio familiarity with data lineage processes and schema management tools such as Avro

Proficient in some or all 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 Bagging and Boosting algorithms 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)

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.

Remote Work : No

Employment Type : Full-time

Key Skills

Arm,Risk Management,Financial Services,Cybersecurity,COSO,PCI,Root cause Analysis,COBIT,NIST Standards,SOX,Information Security,RMF

Experience : years

Vacancy : 1