What you’ll be doing (ie. job duties):

📍Continuous Controls Monitoring (CCM) Program Maturity: Lead initiatives to enhance and mature our CCM program, including identifying new opportunities for automation, improving data quality, and expanding monitoring coverage. 📍Controls Design and Implementation: Collaborate with technology teams to design, implement, and optimize technology controls across various systems and platforms. 📍Data Analysis and Reporting: Utilize data analysis tools and techniques to monitor control effectiveness, identify anomalies, and generate actionable insights and reports for stakeholders. 📍Automation Development: Develop and implement automated solutions using low-code/no-code platforms to streamline control testing, monitoring, and reporting processes. 📍Risk Assessment and Mitigation: Participate in risk assessments, identifying control deficiencies, and recommending appropriate mitigation strategies. 📍Stakeholder Collaboration: Partner with internal audit, compliance, IT operations, and other relevant teams to ensure alignment and effective execution of control objectives. 📍Documentation and Training: Develop and maintain comprehensive documentation for controls and processes, and provide training to internal teams on control best practices and monitoring procedures. 📍Maintain an industry pulse: Maintain awareness of international regulation, emerging threats, forecasts, policies, and benchmarks

What we look for in you (ie. job requirements):

📍6+ years of experience working in a 1 or 2 LoD controls management function and/or Governance, Risk, and Compliance organization. 📍Control domain knowledge and best practices: Familiarity with standards and frameworks e.g. ISO 27001/5, NIST CSF, COBIT, ITIL, DORA, and risk quantification methodologies to measure controls/risks, monitor controls/risks, and validating/racking/evidencing remediation. 📍Control domain knowledge: Ability to dig into our technology and security stack to understand our controls and in turn articulate and propose candidates for automation 📍Technical Data Analysis Skills: Proficiency in data analysis tools (e.g., SQL, Python, R, Excel, Looker, Snowflake) and techniques for extracting, transforming, and analyzing large datasets

Looking for your next challenge? The world of crypto offers exciting roles in blockchain development, web3 innovations, and remote opportunities.