Risk Data Science Manager Bespoke
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The role
Lead risk data science engagements across credit, fraud, and operational risk, delivering predictive and prescriptive analytics for decision making.
Develop and deploy high-impact risk models and dashboards, translating data into actionable insights for clients.
Collaborate with cross-functional teams (Business Managers, Consultants, Data Scientists) to strategize, co-create, deploy and scale data-driven solutions.
Partner with regional and global Data Science and Technology teams to leverage platforms, data, and engineering capabilities.
Manage workload and deliverables, promoting best practices, model risk governance, and privacy standards.
Hybrid role based in Bengaluru with travel within CEMEA as needed; office days to be confirmed by the hiring manager.
Develop and deploy high-impact risk models and dashboards, translating data into actionable insights for clients.
Collaborate with cross-functional teams (Business Managers, Consultants, Data Scientists) to strategize, co-create, deploy and scale data-driven solutions.
Partner with regional and global Data Science and Technology teams to leverage platforms, data, and engineering capabilities.
Manage workload and deliverables, promoting best practices, model risk governance, and privacy standards.
Hybrid role based in Bengaluru with travel within CEMEA as needed; office days to be confirmed by the hiring manager.
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Remote workHybrid (partial remote)
CityBengaluru, India