126 to 150 of 286 Remote/Hybrid Risk Assessment Jobs

Maintain and implement our overall Secure Networks Security Assurance framework, including creation of protocols and processes as required. Maintain our secure network approvals including risk assessments, security arguments, and compliance statements against the DCPP Cyber Security Model (plus against other standards and control sets as required). Carry … Provide security assurance guidance to the Secure Networks Team to review and influence the design and operation of our secure networks. Periodically update the risk assessments for our secure networks, communicate implications to relevant stakeholders, and track progress against action items. Stay up to date with the threat landscape ...

client is a global credit ratings and risk analytics firm. Hit Apply below to send your application for consideration Ensure that your CV is up to date, and that you have read the job specs first. We unite the brightest minds to turn today's risks into tomorrow … each other and customers in meaningful ways. Our client is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. ...

closely with internal and external stakeholders to ensure alignment between the TLS architecture and wider programme elements.* Identify and escalate emerging issues, contribute to risk assessment activities, and help shape mitigation strategies and opportunity exploitation.* Coordinate multi‐stakeholder inputs and deliver clear, high‐quality reports and presentations ...

external audit, preferably within fintech, payments, or financial services. Experience leading and executing on audit engagements from planning through to reporting. Strong understanding of risk management, governance, and the regulatory frameworks of E-Money Institutions/Payment Institutions (PSD2, AML Regulations, FCA Handbook). Ability to analyse data, challenge … verbal communication skills for complex topics. Proactive mindset, comfortable in fast-paced environments, and able to work independently. What You Will Focus On Deliver Risk-Based Audits Lead and deliver internal audits from planning through to reporting and follow-up. Assess the design and effectiveness of controls across operational ...

first platform and autonomous agentic workflows that drive the next generation of drug discovery pipelines. In this high-impact role, you will design custom risk management frameworks tailored to the unique threat landscape of AI in life sciences, establish strict governance over critical model artifacts, and embed seamless security … accelerating our innovation velocity. What you will doAdversarial Threat Modeling: Conduct cutting-edge threat modeling focused on AI/ML vulnerabilities, engineering a comprehensive risk management framework tailored to an AI-powered life sciences platform. Model Artifacts Protection: Partner with AI teams to establish a granular inventory, classification ...

supporting the EMEA's AI Governance function as the Bank scales its use of artificial intelligence across business lines. Demand for AI governance, risk assessment, and oversight continues to grow rapidly, while key governance components and operational processes are still being embedded. This role provides essential operational … administrative support to ensure AI initiatives are reviewed, documented, and governed in a timely, compliant and risk-aware manner. Key Responsibilities: Manage the intake of AI use cases, ensuring submissions are complete, high-quality, and routed appropriately for review. Provide initial guidance to stakeholders with varying levels ...

translate ESG data into decisions that drive measurable value. The Advisory team works across the full ESG spectrum, from carbon accounting and climate risk to governance, social, and impact reporting, delivering engagements that are directly integrated with Novata's technology platform. Advisory is purpose-built to challenge the traditional … Senior Analyst, Advisory, you will support and help lead project delivery across the full breadth of Novata's ESG and sustainability offerings, spanning climate risk, carbon, ESG reporting, and regulatory workstreams. You will also play a core role in Novata's carbon accounting and decarbonisation workstreams, supporting both ...

grow a small team of analysts as the product scales. What You’ll Do Partner with Data Science to challenge and stress-test credit risk modelling assumptions for our SME customers (including scenario and sensitivity testing), ensuring decisions are robust and explainable. Leverage market insights and publicly available data … modelling and decisions. Develop forward-looking views of expected loss, repayment failures, delinquency transitions, and write-offs, and creating feedback loops with product/risk decisions. Working closely with regional teams to inform our market launch strategy Own the Credit analytics data strategy: define the roadmap for the datasets ...

assess model outputs for market relevance and compliance; provide detailed feedback to improve AI capabilities; and contribute to specialized projects in financial modeling, risk assessment, and equity research. Join the HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought … Portfolio Management, Financial Consulting, or equivalent research experience. Skills: Strong proficiency in financial modeling, valuation methodologies, forecasting, asset pricing, DCF analysis, market analysis, and risk assessment. Professional Mindset: Detail‐oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with ...

SIEM, vulnerability management, IAM and cloud security tools Collaborate with internal IT, development and third-party teams to embed security across the organisation Conduct risk assessments, vulnerability scans and OSINT investigations Monitor emerging threats, zero-day vulnerabilities and new CVEs, assessing their potential impact Investigate and respond to security … tools and platforms across on-premises and cloud environments Familiarity with industry standards and frameworks such as ISO 27001, NIST and CIS Experience in risk assessment, vulnerability management and incident response Hands-on experience configuring and managing cloud security tools and IAM solutions Knowledge of EDR platforms ...

each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. … decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates ...

these aircraft. Responsibilities for this Position Lead security architecture for GCAP mission systems Define security requirements and secure-by-design approaches Lead threat modelling, risk assessment and accreditation activities Provide technical leadership across cyber resilience and secure mission computing Develop technologies that will shape combat aviation for decades ...

trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning EDA modeling ...

trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning EDA modeling ...

trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning EDA modeling ...

trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning EDA modeling ...

trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning EDA modeling ...

trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning EDA modeling ...

trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning EDA modeling ...

trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning EDA modeling ...

trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning EDA modeling ...

trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning EDA modeling ...

trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning EDA modeling ...

planning . The ability to analyse performance and translate complex operational data into clear recommendations and actionable decisions . Strong experience of scenario planning, risk assessment, problem-solving and contingency planning . The ability to identify operational, network, timing and capacity risks and develop appropriate mitigation plans. Confidence ...

deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning ...