Client Consulting Analyst (Credit risk modelling & Fraud analytics)
Client Consulting Analyst (Credit risk modelling & Fraud analytics)
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Job Description
Team Summary
Visa Consulting & Analytics (VCA) is Visas consulting division serving Visas 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 and tangible financial results. In Asia Pacific (AP) VCA has geographically focused teams and the hub practice teams which provides expertise in specific industry or functional verticals (Digital Risk Business Solutions Acquiring & Merchant)
What the Analyst Fraud Risk Consulting & Analytics does at Visa:
The VCA Risk Advisory Practice team is responsible for delivering Risk advisory services to Visas clients (Issuers Acquirers and Merchants) across Credit Risk and Fraud Risk. The Analyst Fraud Risk will report to the Senior Manager Fraud Risk India Hub within the VCA Risk Advisory Practice team and will contribute to the delivery of Fraud Risk advisory engagements. 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.
Key responsibilities for the Analyst Fraud Risk:
- Contribute to the delivery of Fraud Risk Managed Services and advisory engagements across Asia Pacific
- Collaborating with the clients 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
Why this is important to Visa
With a rapid change in the payment landscape new regulations around Open banking and Open data and the emergence of new Fintech players the payment ecosystem is rapidly evolving and our clients are looking to Visa as the payment experts to help them navigate through the opportunities and challenges that these changes pose. Visa with its global reach and rich transaction data set is ideally positioned to assist merchants solve their strategic business problems and drive growth.
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 two days a week Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.
The candidate should be able to accommodate flexible working hours to catering to client and country time zones considering the roles Asia Pacific remit
Projects you will be a part of:
The nature of projects this role will play a key role in vary this would include helping issuers and acquirers solve their most strategic business problems:
- 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. Expectation of days in office will be confirmed by your Hiring Manager.
Qualifications :
Basic Qualifications
5 or more years of work experience with a Bachelors Degree or an Advanced Degree (e.g. Masters MBA JD MD or PhD)
Preferred Qualifications
5 or more years of work experience with a Bachelors Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters MBA JD MD)
Specific skill set and experience required:
Technical:
Candidate with 5 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
Additional information
Visa has adopted a COVID-19 vaccination policy. As a condition of employment all employees based in the country where this job is located are required to be fully vaccinated for COVID-19 unless a reasonable accommodation is approved or as otherwise required by law.
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
Employment Type
Full-time
