Head of Enterprise Risk Management at Crypto.com, managing enterprise risk frameworks and compliance. Coordinating with risk and compliance functions to align practices and policies.
About the role
- Data Privacy Risk Manager leading the development of analytics-driven oversight in data privacy and risk management. Collaborating across teams to ensure compliance and effective data management practices.
Responsibilities
- Lead development of a precision‑driven, analytics‑based oversight model for data privacy, retention and records risks.
- Translate oversight questions into measurable indicators, diagnostics, and metrics.
- Identify process weaknesses, control gaps and emerging risks using robust analytical methods.
- Build reproducible reports, dashboards and analytical tools that deliver consistent, evidence‑based oversight.
- Apply deep understanding of data lifecycles to assess how controls operate in real systems and processes.
- Translate regulatory and policy requirements into measurable, testable, evidence‑backed controls.
- Evaluate control maturity and effectiveness through precise, data‑accurate techniques.
- Conduct oversight across various areas including Data Privacy Impact Assessments and records classification and maintenance.
- Partner with engineering, platform and architecture teams to ensure analytical methods and evidence genuinely enable effective challenge.
- Produce high‑quality oversight outputs, including reports and summaries.
Requirements
- Hands‑on understanding of data lifecycles: collection, use, ingestion, transformation, storage, access, retention and deletion.
- Ability to read, interpret and challenge code (e.g., SQL, Python) and assess analytical logic.
- Experience with data modelling, pipelines, extract, transform, load concepts and working with engineering teams.
- Proficiency with analytical tools (SQL, Python, Power BI, Tableau).
- Ability to build automated or reproducible analytical outputs.
- Understanding of metadata, data architecture concepts or AI/ML fundamentals.
- Understanding of risk management, compliance or operational risk.
- Interest in developing strong knowledge of data privacy, the Data Use Act, emerging digital and data laws, and the wider regulatory frameworks that impact how data is handled.
- Demonstrated ability to learn complex theoretical frameworks quickly and apply them pragmatically.
- Familiarity with data protection principles (e.g., personal data, minimisation, retention).
Benefits
- A generous pension contribution of up to 15%
- An annual performance-related bonus
- Share schemes including free shares
- Benefits you can adapt to your lifestyle, such as discounted shopping
- 30 days’ holiday, with bank holidays on top
- A range of wellbeing initiatives and generous parental leave policies
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