Jobs at Citizens

The Cybersecurity Risk Director leads risk management strategies, oversees cybersecurity frameworks, advises business leaders, and ensures compliance with regulations in enterprise environments.

Build and support AI-powered applications and agentic AI capabilities using LLMs. Develop APIs, backend services, and CI/CD pipelines; test, deploy, and monitor AI solutions. Collaborate with engineers, product managers, and data teams, follow secure coding and responsible AI practices, and continuously learn emerging AI tools and techniques.

Lead strategy and execution to prevent, detect, and disrupt digital fraud, scams, and money mule activity. Build and mentor data science and analytics teams, develop ML predictive models, partner with product, cyber, vendors, and risk teams, and drive prevention-first controls, compliance, and operational efficiencies across payments, onboarding, and authentication channels.

Lead delivery of a centralized CIAM platform to consolidate authentication across channels, drive OTP consolidation, and implement passwordless, adaptive authentication using passkeys, biometrics, device intelligence, and AI-driven risk signals. Partner with Security, Fraud, Digital, and Technology to set enterprise authentication standards, ensure omnichannel identity orchestration, drive adoption, and measure KPIs like authentication success, fraud loss, and conversion.

Lead delivery of a centralized CIAM platform to consolidate authentication across channels, drive OTP and passwordless strategies, embed risk-based and AI-driven identity intelligence, partner with Security/Fraud/Digital teams, ensure adoption and governance, and track KPIs for authentication success, fraud reduction, and customer experience.

Lead delivery of a centralized CIAM platform to consolidate authentication and identity verification across channels. Define roadmap for passwordless and risk-based authentication (passkeys, biometrics, device intelligence), embed AI-driven identity intelligence, drive OTP consolidation, ensure enterprise standards and governance, partner across Security, Fraud, Digital, and Technology, own delivery outcomes, adoption, and KPIs tied to fraud reduction and customer experience.

The Senior Data Engineer will design scalable data processing frameworks using Java and Apache Spark, manage data pipelines, and mentor junior engineers.

Lead delivery of a centralized CIAM platform, consolidating authentication and identity verification across channels. Define roadmap for passwordless, adaptive authentication (passkeys, biometrics, device intelligence), embed risk-based AI signals, drive OTP consolidation, align enterprise authentication standards, ensure operational readiness, and track KPIs for authentication success, fraud reduction, and customer conversion.

Lead design, build, and operate real-time, Flink-based streaming data platforms. Develop low-latency, stateful pipelines, enforce event schemas/contracts, ensure fault tolerance and observability, mentor engineers, and partner with architecture and compliance teams to deliver resilient streaming solutions for banking use cases.

Conduct financial forensic investigations into potential money laundering/BSA/AML violations using internal AML systems, referrals, and OSINT; assess risk, prepare SARs, document cases, liaise with law enforcement, and recommend customer actions while ensuring regulatory compliance and timely case resolution.

Lead a software engineering team to deliver scalable, reliable systems. Own delivery, technical quality, hiring and talent development, cross‑functional collaboration, and continuous improvement across modern front-end and back-end stacks and cloud environments.

Work on M&A, equity and debt transactions for digital infrastructure clients (data centers, fiber, broadband). Prepare financial models and valuations, conduct due diligence, draft pitch materials and transaction documents, support business development, and manage client interactions across deal execution.

Manage and improve corporate giving data systems: build and maintain Tableau/Excel dashboards, respond to ad hoc data requests, clean and govern community data, administer Bonterra/CyberGrants, and lead project management for giving programs and strategic initiatives while partnering with enterprise stakeholders.

Review and render decisions on non-traditional residential valuation products (PDR, hybrid, desktop, evaluations), ensure compliance with bank, Fannie Mae/Freddie Mac guidelines, document decisions, communicate with partners, escalate when necessary, and meet productivity and quality targets.

Lead identification, assessment, and remediation of technology and AI-related risks across systems, platforms, and third parties. Execute RCSAs and control testing, support audits and regulatory exams, analyze security telemetry to identify trends, and present executive-level risk reporting. Partner with technology and business leaders, improve risk frameworks, mentor analysts, and advise on emerging threats and control enhancements.

The Sr Visual Basic Developer/Analyst supports MSR Risk Management by analyzing data and providing insights while managing multiple projects and priorities.

Senior operating partner to the Head of Liquidity responsible for translating strategy into Board-ready narratives, driving disciplined execution, establishing governance for research and investments, aligning across enterprise COOs, owning leadership cadence, and embedding first-line risk awareness with Risk, Compliance, Legal, Finance, and Audit.

Lead architecture and delivery for accounting and finance platforms, define standards and best practices, manage a pod backlog, translate business needs into technical solutions, ensure alignment with enterprise architecture and regulatory requirements, collaborate with stakeholders and vendors, and drive implementations across Oracle E-Business Suite and adjacent systems within an Agile pod.

This role involves strategic and operational support, executive communications, cross-functional collaboration, performance reporting, and process improvement within the Checking and Deposits organization.

Develop, implement, and maintain ALM and CCAR/PPNR models for balance sheet forecasting. Build customer behavior, prepayment, and deposit models; monitor performance, perform backtesting and sensitivity analysis; collaborate with Model Risk, Market Risk, Treasury, and validation teams; prepare documentation and materials for governance and senior leadership; support balance sheet optimization and regulatory initiatives.