CSI

2,688 Total Employees
Year Founded: 1965

CSI Benefits Overview

Compensation + Benefits

Offers Flexible Spending Account (FSA)

Offers health insurance

Offers generous parental leave

Offers life insurance

Provides a pension

Offers performance bonuses

Work-Life Balance + Wellbeing

Offers generous PTO

Provides paid holidays

Offers gym membership

Career Growth + Development

Job training & conferences

Offers apprenticeship programs

Company Culture

Provides free snacks and drinks

Recently posted jobs

Information Technology
Lead the strategy, roadmap, execution, and lifecycle management of CSI’s Commercial, Prepaid, and Secured Cards portfolio. Manage and develop Product Managers and Analysts, drive innovation, pricing, business cases, launches, and operational initiatives. Partner with engineering, architecture, marketing, sales, operations, executives, and financial institution customers. Guide Agile product delivery, governance, compliance, risk management, customer engagements, and payment industry strategy.
An Hour AgoSaved
Remote
USA
Information Technology
Lead strategy, roadmaps, and lifecycle management for CSI’s FedNow and RTP instant payments portfolio. Conduct market research, develop business cases, prioritize investments, and collaborate with architecture, engineering, marketing, sales, customers, and partners. Serve as an instant payments subject matter expert, support launches and optimization, represent CSI at industry events, and mentor product managers and analysts. The role requires deep knowledge of real-time payment operations, ISO 20022 messaging, settlement, liquidity, fraud prevention, and applicable banking regulations.
2 Hours AgoSaved
Remote
USA
Information Technology
Leads complex machine learning and advanced analytics initiatives for customer intelligence, segmentation, propensity scoring, behavioral prediction, and personalized engagement. Owns models through the full lifecycle, from problem framing and feature engineering to deployment, monitoring, retraining, and interpretation. Partners with product, engineering, MLOps, and data teams; defines evaluation metrics; mentors technical contributors; promotes responsible AI practices; and communicates results to technical leaders, clients, and business stakeholders.