🕒 3 days ago
Own and improve infrastructure for applications and services across data centers and cloud environments, automating deployments and configuration while helping scale reliable, secure systems and mentoring engineers.
Quantifind jobs
Science-powered risk screening and investigations.
18 open roles at Quantifind
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🕒 14 days ago
Own the strategy and roadmap for risk intelligence models, translating customer needs into measurable model requirements and guiding evaluation, delivery, documentation, and ongoing improvement with Data Science and Engineering.
🕒 25 days ago
Build responsive, browser-based React applications and reusable components that help customers visualize risk factors, integrating REST services and collaborating with Data Science and Platform teams.
🕒 26 days ago
Prototype and productionize machine-learning solutions for financial-crime risk problems, using large and unstructured datasets, statistical methods, and LLMs to improve products and address customer needs.
📅 Sep 25
Design and present tailored enterprise solutions for financial institutions, uncover client needs, build business cases and implementation plans, and connect customer insights with Sales, Product, and Engineering teams.
📅 Sep 22
Develop and productionize statistical and machine-learning solutions for financial-crime risk challenges, translating business problems into algorithms and scalable pipelines from research through deployment.
📅 Sep 16
Own and improve scalable infrastructure for applications and services, automating deployments and configuration across data centers and AWS while advancing reliability, security, observability, and engineering practices.
📅 Sep 11
Support security compliance operations by assessing business and technical risks, maintaining internal controls, and translating technical expertise into clear audit documentation, policies, and questionnaire responses.
📅 Sep 11
Own Graphyte’s enterprise platform roadmap, integrations, and performance outcomes, translating customer, security, and compliance needs into technical requirements that help large institutions adopt and scale the product.
📅 Aug 27
Leads and scales the Customer Success organization, developing the team and operating model while driving customer value, retention, renewals, expansion revenue, and strategic relationships with enterprise clients.
📅 Aug 26
Manage strategic relationships with complex financial-institution clients, guiding onboarding, support, and cross-functional delivery so customers achieve their goals and realize value from AI-driven SaaS solutions.
📅 Aug 26
Manage strategic relationships with large financial institutions, guiding onboarding, support, and cross-functional delivery so enterprise customers achieve their goals and realize value from AI-driven SaaS solutions.
📅 Jul 4
Design and operate secure, high-performance networks for internet-facing SaaS applications, leading network automation, security, incident response, monitoring, and infrastructure improvements across data centers and AWS.
📅 Jun 24
The AI Forward Deployed Engineer partners with government and enterprise clients to architect and deploy capabilities, while building secure cloud environments, services, and AI-enabled prototypes.
📅 Jun 9
Own and improve infrastructure for data center and IT deployments, automating and scaling systems while partnering with engineering teams to strengthen deployment practices, security, reliability, and performance.
📅 May 22
Build and maintain Scala-based platform services and machine-learning infrastructure, developing scalable microservices and data pipelines that power real-time investigations and risk-signal generation.
📅 May 22
Build and improve Scala-based Spark pipelines, data services, and machine learning infrastructure that process large-scale data and generate risk signals for financial crime detection.
📅 Mar 2
Manage and scale Linux infrastructure across data centers and cloud environments by automating deployments, improving system reliability and security, and partnering with engineering teams on infrastructure best practices.
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