Teams at Quantifind

Lead end-to-end technical software implementations, translate business requirements into development initiatives, manage cross-functional teams, track risks/issues and project financials, define requirements and milestones, and report progress to stakeholders and senior leadership to ensure timely, high-quality delivery.

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.