Jobs at Quantifind

Manage and scale on-premises and cloud infrastructure using infrastructure as code, configuration management, automation, and container orchestration. Collaborate with DevOps, platform, security, data science, and product teams to improve deployments, reliability, performance, monitoring, and security. Own major infrastructure projects, support compliance requirements, mentor engineers, and operate systems across company data centers and AWS.

Own the product strategy and roadmap for machine-learning-powered core models. Translate customer needs into model objectives, evaluation criteria, thresholds, requirements, and acceptance criteria. Partner with Data Science and Engineering to deliver and improve models, assess performance, document capabilities and limitations, support customer evaluations, and manage model risk requests. Serve as a customer-facing subject matter expert while driving measurable outcomes and executive alignment.

Build responsive browser-based applications using React, Redux, JavaScript, HTML, and CSS. Develop reusable components, data visualizations, REST API integrations, unit and integration tests, and maintainable code for continuous delivery. Collaborate with Design, DevOps, Product, Data Science, and platform engineering teams in an Agile environment to deliver customer-facing risk visualization features.

Develop machine learning and data science solutions for financial crime risk management. Responsibilities include analyzing large datasets with SQL, Python, and PySpark; designing ETL pipelines; training supervised and unsupervised models; implementing solutions in Scala; applying LLMs and NLP; supporting customer proofs of concept; and collaborating with product and platform teams in an agile environment.

Develop and productionize statistical and machine learning solutions for financial crime detection. Responsibilities include NLP, entity resolution, document classification, knowledge graphs, topic modeling, scalable ML pipelines, large-scale data analysis, and translating business challenges into quantitative problems. The role collaborates with Product, Platform Engineering, Sales, and clients, requiring clear communication with technical and non-technical audiences.

Build and maintain Quantifind's Apache Spark batch pipeline and platform services to generate risk signals from diverse data. Design scalable algorithms and data structures, implement ETL pipelines, microservices and REST APIs, deploy on Kubernetes, collaborate with Data Science, DevOps and Product, and ensure robust automated unit and integration testing of distributed systems processing terabytes daily.

Work directly with government and enterprise clients to architect, integrate, and deploy secure, compliant AI-enabled cloud environments. Build microservices and APIs, manage IaC, CI/CD, containers/orchestration, observability, and platform uptime across commercial and government clouds while meeting accreditation standards.

Manage and automate infrastructure as code for datacenter and cloud deployments. Build, deploy, and maintain scalable, secure Linux-based systems using containers, orchestration, configuration management, monitoring, and release engineering tools. Collaborate with platform, data science, security, and product teams to improve reliability, performance, and deployment practices.

Design, implement, and operate secure, high-performance networks for Internet-facing SaaS and API services. Perform security assessments, incident triage and response, firewall and device log analysis, and monitoring improvements. Automate network configuration and policy management (Ansible, Python), support cloud and data center deployments, mentor engineers, and participate in availability, disaster recovery, and compliance activities.