Risk

• Lead the development of policies, processes, and structures that guide and oversee activities such as research design, data collection, analysis, and dissemination.
• Collaborate with research consortia, scientific working groups, and institutional partners to ensure the ethical, responsible, and accountable conduct of research and data sharing. . Design, implement, and champion governance systems that protect the rights and welfare of research participants and preserve the integrity of the scientific process.
• Lead initiatives that enable responsible data sharing by evaluating data sensitivity, and designing and applying governance approaches, such as data access controls . Lead the assessment of emerging privacy considerations and develop or update compliance methods to address current needs. (This is not a data engineering or analytics role.)
• Ensure adherence to ethical, legal, and institutional requirements. Contribute to incident investigations and the implementation of corrective actions/preventative action (CAPA) plans. Monitor activities and report to stakeholders.
• Lead research, scientific community, and data governance initiatives addressing and enabling the responsible application of AI and other developing technologies. Promote the use of AI tools for documentation, process improvement, and novel uses within the governance field.
• Lead the development and implementation of standards for data sharing and governance education. Develop and sustain new governance protocols and disseminate/socialize updated standards through training materials and presentations.
• Lead governance partnerships with internal teams and external collaborators. Respond to data access requests and provide user support, as needed. Advise established research communities using standard or novel data sharing and governance framework approaches.

Senior Biomedical Research, Data Governance

• Overseeing and enhancing the firm’s risk management framework across market, trading, and exchange operational risks.
• Ensure robust risk controls, real-time monitoring, and crisis response mechanisms.
• Develop and refine market risk models, including Value-at-Risk (VaR), stress testing, and scenario analysis.
• Collaborate with engineers to design and execute stress tests, scenario analyses, and sensitivity tests.
• Establish automated alerting systems and on-call response processes for risk-related emergencies.

Market Risk Lead

• Review High and Critical impartiality risks presented by management
• Evaluate structural independence safeguards and separation controls
• Challenge management where risk mitigation is insufficient
• Ensure no single interest predominates within assessment governance activities
• Escalate unresolved structural or independence risks to the Governing Authority
• Participate in periodic meetings (minimum quarterly)
• Provide independent perspective on federal cybersecurity assessment governance, impartiality, and oversight risks

External Federal Risk & Assessment Governance Subject Matter Expert

• Lead and build the Risk team, setting direction, priorities, and standards for the function
• Own and evolve Aave’s risk management frameworks and policies
• Coordinate with external risk service provider teams to ensure alignment on risk parameters
• Set, monitor, and adjust protocol risk parameters across deployments and markets
• Approve and sign off on collateral onboarding decisions and risk assessments
• Review liquidation performance and recommend improvements to liquidation mechanisms
• Lead risk governance processes and present risk analyses to the DAO
• Monitor market structure changes and their implications for protocol risk
• Take full accountability for risk outcomes and drive a culture of ownership within the team

Head of Risk

• Design and execute over99’s risk strategy across payments, fraud, and player operations—combining analytical decision-making with strong operational execution.
• Own the overall risk and fraud framework across account security, payments, bonus abuse, and player activity.
• Design, maintain, and continuously optimise rule sets covering velocity checks, device/IP analysis, geo and payment method rules, and wagering or bonus triggers.
• Monitor and investigate suspicious activity daily, including multi-accounting, collusion, arbitrage, bonus abuse rings, and payment fraud patterns.
• Lead full-cycle case management—detection, evidence gathering, assessment, decisioning, and documentation.
• Collaborate with the Payments and Finance teams to manage chargebacks and disputes, conduct root-cause analysis, and implement effective prevention strategies.
• Partner with Customer Support to create clear playbooks for flags, holds, verification flows, and communication templates.
• Coordinate with Product, VIP, and Marketing teams to align risk, conversion, and performance objectives across promotions and payment journeys.
• Liaise with vendors (KYC, fraud scoring, payment processors, wallet services) to manage integrations, evaluate tools, and optimize configurations.
• Build structured reporting across fraud losses, abuse rates, chargebacks, false positives, and conversion KPIs.
• Establish a strong operational rhythm with SLAs, escalation paths, incident tracking, and continuous improvement cycles.
• Continuously enhance defences against abuse while maintaining frictionless player onboarding and payments efficiency.

Risk and Fraud Manager

• Responsible for collecting risk intelligence and monitoring public sentiment across major social media and community platforms.
• Build a multi-layered intelligence network to proactively identify and warn against external threats, ensuring platform security.
• Establish and maintain intelligence sources across platforms such as Twitter, Telegram, and Discord, covering security agencies, project communities, industry groups, and illicit channels.
• Monitor on-chain security incidents, illicit activities, phishing, and scam-related threats.
• Track user discussions and negative sentiment related to the company across external platforms, evaluate potential risks, and coordinate with internal teams for timely response.
• Track the effectiveness of intelligence handling, regularly review incident detection accuracy, eliminate low-value sources, and improve overall intelligence coverage.
• Collaborate with technical teams to enhance data collection tools and alerting systems, while maintaining intelligence SOPs and reporting dashboards.

Risk Intelligence Operations Specialist

• Preparation of datasets to support advanced risk analysis
• Own and continuously enhance risk assessment frameworks, algorithms, and decisioning strategies
• Drive the end-to-end lifecycle of LLM models
• Develop and refine fraud prevention strategies, including rule-based systems and predictive models
• Define, track, and analyze key risk and business KPIs; translate insights into actionable recommendations for senior stakeholders
• Build and maintain automated reporting and monitoring solutions to ensure proactive risk management
• Partner closely with product, engineering, and business teams to embed risk controls into processes and customer journeys
• Mentor junior analysts and contribute to best practices in risk analytics and modeling****

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