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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Senior Data Scientist, Risk (Risk Strategy)”. A match may be a passing mention rather than the job itself. Titles only.
78 roles across 80 listings · show every listing · page 1 of 4
…set crisp, outcome-oriented priorities. - Aligning and influencing senior stakeholders across Product, Engineering, Design, Risk, Finance, Operations, Marketing, and Partnerships. - Ensuring execution excellence at…
…This data scientist will perform careful hypothesis generation, causal inference framework development, and model development/evaluation to ideate and drive payment strategies on our…
…driven product improvement feedback. - Advise senior technical and executive stakeholders on architectural trade-offs, risks, and long-term strategy. - Develop and support an AWS…
…code reviews, testing strategy, and sound architectural decisions. - Manage dependencies and communicate status, risks, and trade-offs to stakeholders and senior leadership. - Foster an…
…be able to measure and estimate risks, constructively critique peer research, extract and manipulate data across various data marts, and align research focuses on…
…the unique needs of the business Provide data-driven insights and recommendations on org health, attrition risk, engagement, and team effectiveness Partner with Finance…
…rule engines, ML-based anomaly detection, and risk scoring pipelines - Architect real-time and batch data processing systems to aggregate fraud signals across multiple…
…growth drivers, and anticipate business risks that need to be surfaced to leadership. As a Principal Data Scientist, you will be the technical thought…
…and make data-driven decisions that impact company objectives and long-term strategy. Proactive foresight in roadmapping and managing high-risk data science programs…
…or risks, executing mitigation strategies when issues arise. Cross-Functional Leadership: Lead multidisciplinary, cross-functional squads of engineers, designers, and data scientists (without direct…
…financial and reputational risk. The Senior Analyst will take ownership over multiple discrete fraud segments to develop and execute a strategy which addresses fraud…
…This includes discovery with executives, proving ROI and value, and partnering with CSMs who manage risk and adoption at the end-user level. You…
…You'll lead our embedded analytics organization, including analysts and data scientists aligned to growth, product, markets, finance, risk, and institutional, ensuring every team…
…ABOUT THE ROLE Polymarket is looking for a Sr Data Scientist / Analyst, Fraud & Risk to proactively prevent and detect potential fraud and abuse on…
…decarbonization mechanisms, and establish benchmarks for automated validation and risk assessment. As a Research Scientist, you will be responsible for independently leading assessments of…
…Your proactive inquisitiveness, supported by your data dexterity, means you lead first-of-its-kind analyses and mentor the data scientists around you to…
…Product, Engineering, and Design — helping shape strategy, not just measure it. You’ll proactively identify opportunities and risks, framing the right questions before they…
…Make technical and program decisions with incomplete information, proactively identify opportunities and manage risks, providing data-driven recommendations to stakeholders. Champion and cultivate reusable…
…About the role We're looking for a data-driven professional to help us measure, understand, and improve the performance of our risk strategies…
…risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data…
…matter expertise to evaluate trends in risks and optimize mitigation strategies across projects for high-impact risk scenarios using qualitative analyses (e.g., probability…
…Define the scientific and technical strategy for modeling power consumption, peak risk, and reliability tradeoffs across large-scale infrastructure systems. Develop statistical, machine learning…
…engineers, applied scientists, operations research scientists, data scientists, and technical program managers Experience with infrastructure cost modeling, utilization optimization, reliability risk management, or large…
…We believe that good ideas can come from anywhere and encourage Data Scientists to pursue self-directed explorations in search of business value. The…
…Defines risk mitigation activities that are foundational to the project plan. Defines risk contingency plans for invocation should the risk occur. When appropriate, oversees…