Sr. Manager - Cybersecurity Product Engineering

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

You are an engineer who has domain knowledge or an interest in networking, Big Data, machine learning and cybersecurity You are ready for an exciting opportunity working hands on with the world’s most cutting-edge cybersecurity technologies and thrive in a super dynamic environment where you are being counted on to help to defend Visa from the most advanced cyber threats. You are looking to innovate the next generation of cybersecurity technology with Petabytes of data.

You will leverage cutting-edge technologies to perform statistical profiling, inference, classification, clustering and predictive analysis. As a key member of the technical team, you will translate cyber and network security related requirements into simple or sophisticated models to help derive new insights to defend against cyber-attacks. You will be working with a large variety of data sets, cutting-edge security technologies, and world-class operation teams to create awesome analyses.

Essential Functions

• Serve as a lead data scientist leading and supporting various analytical initiatives

• Research and prototype new machine learning techniques to enhance Visa’s ability to identify and respond to threats.

• Work with domain experts, engineers, and  manage data scientists to develop, implement, and improve analytical models and use cases.

• Lead the use case development for internal analytical products.

• Define, generate, and report metrics and KPIs and ensure service level targets are defined and achieved.

• Build and maintain relationships with internal and external stakeholders

• Consistently demonstrates Visa leadership principles

• Provide technical guidance and managing /mentoring to junior team members

Responsibilities

• Own the planning, delivery and execution of homegrown security tool covering Insider Threat Analytics Solution for the company.

• Knowledge and experience with statistical and machine learning techniques.

• Experience with data science model implementation on Hadoop and Spark.

• Exceptional coding skills in Python.

• Knowledge and experience with multi-cloud , primarily around interfacing data services between Azure , AWS and GCP.

• Knowledge and implementation experience with statistical and machine learning models (regression, classification, clustering, graph models, anomaly detection etc.)

• Knowledge and experience with privileged account security management is a plus.

• Experience with Advanced Persistent Threat (APT) and criminal actors and advanced knowledge of associated Tactics, Techniques and Procedures (TTP) is a plus

• Experience with enterprise network and technologies will be a plus.

• Own , design and maintain production grade data pipeline architecture for our products using Python, JavaScript, Shell Script, SQL/ No SQL database

• Develop and maintain ML model deployment architecture using Python, PySpark, HDFS, Druid, SQL/ No SQL database, Airflow

• Identify, design and implement internal process improvements: automating manual processes, identifying data gaps/abnormality, optimizing data delivery

• Create and manage feature store for machine learning models

• Develop anomaly detection models to find potential cyber threats

• Use predictive modeling to improve data products and increase customer experiences.

• Develop processes and tools to monitor and analyze model performance and accuracy

• Experience with architecting and migrating existing on-prem architecture to Cloud

• Experience with Containerization and Orchestration

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