Cuscal Limited

HQ
Sydney
704 Total Employees
Year Founded: 1966

Jobs at Cuscal Limited

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12 Days AgoSaved
Hybrid
Sydney, New South Wales, AUS
Financial Services • Cybersecurity
Provides second-line operational risk assurance and advisory support across a financial services organisation. Responsibilities include reviewing incidents and control gaps, analysing risk trends, developing remediation plans, reporting key risk indicators, maintaining non-financial risk policies, supporting audit issue closure, and delivering risk education. The role partners with business units to strengthen operational risk frameworks, controls, and processes while contributing to management and Board reporting.
13 Days AgoSaved
Hybrid
Sydney, New South Wales, AUS
Financial Services • Cybersecurity
Owns product strategy, roadmaps, backlogs, positioning, and lifecycle management for Cuscal’s payments portfolio, including Direct Entry, BPAY, RTGS, and Chequing Services. The role translates client and market needs into product enhancements, manages commercial performance, compliance, implementation, stakeholder relationships, and product documentation, while partnering with delivery squads and business teams to support growth and profitability.
20 Days AgoSaved
Hybrid
Sydney, New South Wales, AUS
Financial Services • Cybersecurity
Analyze transactional, behavioral, and intelligence data to identify fraud and emerging financial crime risks. Develop and optimize fraud detection rules, conduct network analysis and investigations, monitor detection performance, validate datasets and machine learning models, and recommend control improvements. Provide actionable insights on fraud trends to internal stakeholders and clients while escalating significant incidents and supporting continuous improvement.
23 Days AgoSaved
Hybrid
Sydney, New South Wales, AUS
Financial Services • Cybersecurity
Supports credit, market, and liquidity risk reporting for management, ALCO, regulatory obligations, and the Board. Develops analytical models, dashboards, stress tests, and automated reporting processes; improves data quality, controls, validation, and documentation. Translates complex risk data into actionable insights while partnering with risk, business, data, and technology teams. Applies financial risk expertise, automation, machine learning, and AI within controlled analytical environments.