Director of Security Analytics Products / Lead Data Scientist

Visa Inc.
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Job Description

Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms.

The Opportunity:

Visa’s Cybersecurity Product Development team designs, builds, and deploys next-generation security technologies to maintain trust in the Visa brand, ensure the safety, soundness, and integrity of the Visa payment system, and prevent operational losses to Visa and its clients.  We are seeking a technical leader/director to lead the research & development of Visa’s security analytics products in Poland.  

You will be applying your creativity and skills with AI/ML and software engineering to solve problems and create opportunities in the world of identity, authentication, and other various fields in cybersecurity. You will be working with a dynamic team of data scientists, security researchers, and software engineers to build innovative products that help secure Visa and financial transactions across the world.

Essential Functions:

  • Lead a team of data scientists and software engineers to drive/support various AI/analytics/cybersecurity initiatives.
  • Work with global and regional engineering & product teams to research and prototype new analytics products that enhance Visa’s ability to identify and respond to threats.
  • Research and build new security products to safeguard/enable secure and frictionless transactions.
  • 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.
  • Contribute to a high performing culture that becomes the benchmark for excellence at Visa. Mentor and develop more junior team members to ensure we build talent from within.
  • Serve as the technical advisor for overall team to train other team members. Stay up to date with industry trends and best practices related to analytics, tools, technology, and data products.
  • Craft meaningful presentations and insights from complex data with content that clearly presents opportunities in an accurate, understandable and engaging manner to executives and stakeholders.
  • Ensure data driven decision making is a priority for clients, colleagues, and other internal stakeholders.
  • Build and maintain relationships with internal and external stakeholders.
  • Provide technical guidance and managing /mentoring to junior team members.
  • Collaborate with cross-functional teams to identify client needs and develop solution roadmaps. Cultivate cross-functional partnerships, building relationship capital that facilitates the advancement of holistic/strategic initiatives.

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

Basic Qualifications

Bachelor’s Degree AND minimum of ten (10) years of relevant work experience

OR

Minimum thirteen (13) years of directly relevant work experience.

Preferred Qualifications

  • 12 years of work experience with a Bachelor’s degree or at least 8-10 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD.
  • Preference for degree in Computer Science or Engineering, Electrical Engineering, Mathematics, Statistics, and Operations Research.
  • Software Engineering background: The candidate must be proficient in Python and an object-oriented programming language (Java, Golang, C++, etc.) Candidate must possess software engineering skills and be able to take end-to-end ownerships of analytical models.
  • Machine Learning: The candidate must have knowledge of common ML frameworks and models such as RNN, LSTM, Graph Neural Networks, as well as hands-on experience developing/implementing machine learning pipelines.
  • Data Wrangling: The candidate must have proficient data wrangling skills with Python, SQL, and other data processing tools/scripts.
  • Intellectually curious and analytically rigorous. Solution oriented and looking for ways to give added value.
  • Prior experience and knowledge with cyber-security is highly desirable.
  • Knowledge and implementation experience with statistical and machine learning models (regression, classification, clustering, graph models, anomaly detection etc.)
  • Good Understanding of Cloud Infrastructure and Virtual Networking
  • Ability to operate effectively within a dynamic, fast-paced environment.
  • Positive approach and commitment to collaboration with shared purpose
  • Be comfortable working virtually with teams across the globe from different time zones.

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.

Company Info.

Visa Inc.

Visa Inc. is the world’s leader in digital payments. Our mission is to connect the world through the most innovative, reliable and secure payment network - enabling individuals, businesses and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second.

  • Industry
    Banking
  • No. of Employees
    18,479
  • Location
    Foster City, California
  • Website
  • Jobs Posted

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