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Visa Inc,

Sr. Cybersecurity Analyst

Job Posted 20 Days Ago Posted 20 Days Ago
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In-Office
Bangalore, Bengaluru Urban, Karnataka
Senior level
In-Office
Bangalore, Bengaluru Urban, Karnataka
Senior level
The Sr. Cybersecurity Analyst will develop and manage fraud detection solutions, analyze complex financial data, and lead fraud prevention projects.
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Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in 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 while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

The Anomaly Detections Platforms ADP is a global team tasked with the role of developing data driven fraud detection solutions to identify abnormal transaction trends and work closely with Risk Operations Center ROC to support in fraud mitigation.

This position will support the Anomaly Detection Platforms team drive several of Visa’s most important and high-visibility fraud deterrence projects within Global Risk’s Payment Fraud Disruption PFD team. This fast-paced team of technology experts identifies and supports mitigating attacks targeting the global payment ecosystem. Key measures of success for this position include the ability to develop and automate key attack intelligence capabilities that optimize detection of fraudulent anomalies. This role’s initiatives will lead to the measurable decrease of cybercrime and fraud attacks impacting Visa clients.

The primary responsibilities for this role will include

  • Lead the design and production deployment of new and advanced techniques to detect and prevent cybercrime.
  • Manage fraud alerting taxonomies and thresholds that optimize true positive detections and fraud scheme coverage.
  • Collaborate with Technology partners to enhance fraud detection capabilities for improved insights and pattern detection.
  • Build and experiment with modeling and scoring algorithms. This includes development of custom algorithms as well as use of packaged tools based on machine learning, data mining and statistical techniques.
  • Be an expert at getting to the root of a problem, defining business objectives and formalizing data requirements – especially in a fast paced, fluid environment.
  • Develop real-time and batch processed customized monitoring solutions to enable clients take proactive action to fraud threats.
  • Analyze complex financial data to uncover patterns, anomalies, and insights that support risk assessment and fraud identification.
  • Engage with stakeholders to understand client specific risk and fraud challenges, providing expert guidance and tailoring solutions to their needs.
  • Continuously question and consider new techniques to stay ahead of organized cyber criminals and fraudsters.  

SECONDARY RESPONSIBILITIES

  • Collaborate with Payment Systems Intelligence and Risk Operations Center ROC teams to recognize and implement measures to identify and disrupt new fraud and cybercrime threats to the clients enrolled in the Fraud Services program.
  • Provide intelligence and technical analysis support to the Global Risk organization to further protect the payment ecosystem.

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

 

Qualifications

Basic Qualifications

  • 8 or more years of work experience with a Bachelor’s Degree or an Advanced
  • Degree e.g. Masters, MBA, JD, MD, or PhD

Preferred Qualifications

  • 8 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
  • Ability to conduct complex analytical functions by performing fraud assessments and analyzing criminal methods.
  • Knowledge of transactions, systems processing transactions and overall transaction process.
  • Proficiency in Python, SQL and Shell for data manipulation, analysis, and visualization.
  • Extensive experience with data preprocessing, feature engineering, and model optimization for risk and fraud detection.
  • Adaptable and able to work well in a fast paced, team-oriented environment.
  • 3 years’ experience in payment card or information security industry, investigating payment card, cybercrime fraud red team testing or bachelor’s degree in strong technical area with some real-word experience (e.g.,
  • internship)
  • Proficiency with drafting detailed, technical reports
  • Ability to respond after-hours, weekends, and holidays to major fraud events.
  • Passion for fraud schemes and cybercrime investigations
  • Good interpersonal, facilitation, and demonstrated emerging leadership skills.
  • Able to operate at an advanced level of written and spoken communication, write and speak effectively with impact.
  • Capable of delivering presentations and comfortably interacting with all levels of Visa and client management
  • Moderate understanding of networks, risk management, network security, digital forensics, and security operations
  • High level of self-motivation and initiative
  • Direct experience with VisaNet, ISO 8583, transaction routing, VCMS, Base I and Base II platforms.
  • Concepts, terms, processes, policy, and implementation of information security Intelligence databases and analytical tools or similar intelligence reporting systems
  • Analysis of cyber threat intelligence and fraud intelligence.

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.

Top Skills

Data Mining
Machine Learning
Python
Shell
SQL
Statistical Techniques

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