Computer Science Graduates, Postgraduates, PhD Vacancy at VISA

Overview:

VISA is hiring an experienced Analyst, Risk Practice at their Bangalore location. This individual will bring expertise in both the Fraud Risk functional domain and in risk analytics gained as Risk practitioner and/or a data scientist within a bank and/or a specialized consulting firm. We are looking for a motivated, analytically minded individual with a track record of using Risk expertise to unlock business value.

The complete details of this job are as follows:

Roles and Responsibilities:

The Ideal Candidate should be able to:

• Contribute to the delivery of Fraud Risk Managed Services and advisory engagements across Asia Pacific
• Collaborating with the client’s team (both internal and external) to understand the business problem and desired business outcome
• End-to-end delivery of multiple Managed Services and advisory projects within timelines, scope and budget requirements
• Ensuring all project documentation is up to date and maintain the highest levels of quality in deliverables
• Support development of Fraud Risk data driven solutions (Authorization and Fraud Optimization, Fraud Risk Prediction/Scoring).
• Support the development and maintenance of consistency, standards and quality control of Fraud Risk consulting methodologies, ensuring world-class best practices and efficiency through economies of scale
• Participate to expand and optimize the Fraud Risk Managed Service offerings
• Fraud Rule Optimization – On-behalf execution of fraud risk management for clients to optimize performance & enhance detections
• Fraud Authentication Rule Optimization – On-behalf execution for optimization and performance enhancement of authentication rule for clients
• Authorization Optimization – Define optimal authorization strategy with balanced risk control measures
• STIP Optimization – Define optimal STIP strategy with balanced risk control measures
• Fraud Risk Prediction/Scoring – Development of statistical models based on client data to predict the likelihood of fraud occurrence (adhoc)
• This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications

• Specific skill set and experience required:

Technical:

• Candidate with 3+ years of analytical experience in applying statistical solutions to business problems
• Graduate / 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/Hadoop/SQL/Python
• Proficiency in some of the following statistical techniques: Linear and Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Neural Networks, Clustering, Principal Component Analysis, Factor analysis etc
• Experience in banking / consumer lending industry preferred
• Fair level of domain expertise in Fraud Risk preferred
• Hands on experience in fraud risk analytics (model development, strategy and framework, scorecard development, documentation, validation, governance, implementation and automation etc.)
• Demonstrated ability to innovate solutions to solve business problems
  Business:
• Self-motivated, results oriented individual with the ability to handle numerous projects concurrently
• Results oriented with strong analytical and problem-solving skills, with demonstrated intellectual and analytical rigor
• Ability to solve business problems through data driven quantitative methodologies
• Team player, collaborative, diplomatic, and flexible style. Complete team player, able to work across cultures, upholds and promotes highest ethical standards and mutual respect in the workplace
• Proven skills in translating analytics output to actionable recommendations. Experience in presenting ideas and analysis to stakeholders with the ability to tailor data driven results to various audience levels
• Detailed oriented, the candidate is expected to ensure highest level of quality/rigor in deliverables, reports & data analysis\Exhibit intellectual curiosity and strive to continually learn
• Good communication, story-telling and presentation skills

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