Founded by experienced entrepreneurs and engineers in 2016, Pismo is a technology company that provides a comprehensive processing platform for banking, card issuing and financial market infrastructure and helps customers innovate and build the next generation of banking and payment solutions. Pismo joined Visa in 2024.
Leveraging Visa’s solutions, our core platform, and an expanding suite of capabilities, Pismo addresses the technological challenges that large banks, marketplaces, and fintech companies face in migrating from legacy systems to more advanced technology in the market. Pismo’s cloud-based platform empowers firms to build and launch financial products rapidly, scaling as they grow to have a broader audience while keeping high security and availability standards.
Pismo’s 500+ employees are located in more than 10 countries around the world.
Job DescriptionThe Data & Insights function plays a strategic and technical role in transforming data into actionable business insights. Key responsibilities include:
- Development of business indicators to support decision-making processes.
- Design and implementation of machine learning models to aid decision-making, as well as to create opportunities and new products integrated with our AI platform.
- Supporting the AI and ML teams in building the MLOps platform by testing solutions and contributing requirements.
- Leading technical initiatives within analytics projects, acting as a technical reference point to resolve challenges and support the team throughout the project lifecycle.
- Actively engaging in discussions on the evolution of the data domain, proposing new methodologies, tools, and innovative projects to address the challenges faced by internal stakeholders.
- Carry out ad hoc studies using our data to support business teams
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
QualificationsBasic Qualifications:
- 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.
Preferred Qualifications:
- 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.
- Expertise in SQL for large-scale data manipulation and analysis.
- Proficiency in Python, focused on data analysis and model development.
- Advanced experience with Databricks, including notebooks.
- Experience with Git for code versioning and team collaboration.
- Expertise in BI and data modeling, with the ability to structure data for visualizations and strategic analyses.
- Experience working in environments with high data volume and performance requirements.
- Experience with modern data architecture (Data Lakehouse, medallion architecture). Experience in statistical modeling, including linear regression, logistic regression, clustering, and related methods.
- Proficiency in Prompt Engineering techniques.
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.
Skills Required
- 5+ years of relevant work experience with a Bachelor's Degree
- Expertise in SQL for large-scale data manipulation and analysis
- Proficiency in Python, focused on data analysis and model development
- Advanced experience with Databricks, including notebooks
- Experience with Git for code versioning and team collaboration
- Expertise in BI and data modeling
- Experience working in environments with high data volume and performance requirements
- Experience with modern data architecture
- Experience in statistical modeling, including linear regression, logistic regression, clustering
- Proficiency in Prompt Engineering techniques
Visa Inc, Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Visa Inc, and has not been reviewed or approved by Visa Inc,.
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Retirement Support — Retirement support is positioned as a standout, with an exceptionally rich 401(k) match described as a major differentiator in the overall package. This feature appears to materially increase total rewards beyond base salary.
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Healthcare Strength — Healthcare offerings are presented as comprehensive, spanning medical, dental, vision, disability, EAP, and mental-health resources. The breadth of coverage supports a perception of strong baseline benefits.
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Strong & Reliable Incentives — Annual bonuses and predictable total-rewards structures are portrayed as a consistent part of compensation, reinforcing a stable year-to-year earnings profile. The overall package is framed as more attractive when considering salary plus bonus and other rewards together.
Visa Inc, Insights
What We Do
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you For more information, visit visa.com/about, @LifeatVisa Instagram, and @VisaNews on X.
Why Work With Us
At Visa, every voice powers progress. We believe inclusion fuels innovation — and that unique perspectives create better outcomes for our teams, our business, and the world we serve. With more than 13K members across our Employee Resource Groups, you’ll find community, allyship, and opportunities to lead, learn and make an impact beyond your desk.
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