At Silent Eight, we develop our own AI-based products to combat financial crimes that enable things like money laundering, the financing of terrorism, and systemic corruption. We’re a leading RegTech firm working with large international financial institutions such as Standard Chartered Bank and HSBC. Join us and help make the world a safer place! Role summary We are an AI-focused fintech startup, passionate about developing cutting-edge solutions in a dynamic environment. We are looking for a Frontend Develope r to join our team and contribute to building high-quality applications using Angular/React. In this role, you'll collaborate closely with backend engineers, designers, and product owners to enhance user experiences, optimize performance, and integrate AI tools into our product. If you're excited to be part of a fast-paced, innovative team, this is the opportunity for you to grow and make a meaningful impact. Key Duties Design, develop and maintain the applications using Angular/React Collaborate with the lead developer and cross-functional terms to deliver high quality features and improvements Write clean, maintainable and efficient code following best practices Closing cooperation with backend team, designers, product owners Optimize application performance and ensure responsiveness across devices Integrate with backend APIs and work with tools like Docker, Git and Gradle to streamline development and deployment process Participate in code reviews, sprint planning, and retrospectives to ensure continuous improvement Collaborate with designers using tools like Figma and Whimsical to implement user friendly interfaces Explore and integrate AI tools to enhance product functionality and user experience Troubleshoot and debug issues to ensure smooth product operation Taking part of the daily work of the Scrum Team Writing unit / e2e tests. Qualifications 3-5 years of professional experience in frontend development with Angular Having experience with React is an added advantage Strong proficiency in Javascript/Typescript, HTML and CSS Experience with version control systems like Git Familiarity with build tools like Gradle, Webpack, Vite and containerisation tools like Docker Experience with AI tool integration or working on AI Experience working with RESTful APIs and integrating frontend applications with backend services Knowledge of UI/UX design principles and experience collaborating with designers using tools like Figma or Whimsicals Strong problem-solving skills and attention to detail Familiarity with Agile/Scrum methodologies Experience with testing frameworks like Jasmine, Jest or Cypress Excellent communication and collaboration skills Passion for learning and staying updated with the latest frontend technologies and trends Knowledge of NX monorepo will be a plus Knowledge of Cypress e2e testing or other e2e tool will be a plus Knowledge of Storybook will be a plus. Modern Technology Stack Work methodology: Scrum Main technologies: JavaScript, TypeScript, Angular, React Tools used: NX, Jest, Storybook, Cypress, npm Build server: Jenkins, GiHub Code reviews: GitHub Issue tracking tool: Jira Knowledge repository: Confluence, Google Drive Freedom to choose tools: Yes Mockups: Figma We offer Full time employment contract with our PEO partner (InsourceIndia) Employee benefits: comprehensive health insurance, paid time-off, eligibility for Prudential Fund participation Work-life balance: flexible working hours, remote work forever Career growth: Promotion and great development opportunities within the organization. Show more Show less

At Silent Eight, we develop our own AI-based products to combat financial crimes that enable things like money laundering, the financing of terrorism, and systemic corruption. We re a leading RegTech firm working with large international financial institutions such as Standard Chartered Bank and HSBC. Join us and help make the world a safer place! As a Data Scientist , you will own the end-to-end development of data solutions from understanding business problems to deploying and maintaining models in production. You ll work closely with customers and internal teams to build impactful, scalable solutions using machine learning, NLP, and other advanced techniques. Responsibilities Lead the data science lifecycle, from discovery and exploration to delivery and customer hand-off. Translate ambiguous business problems into clear problem statements and deliver working, production-ready solutions. Partner with customers and internal stakeholders to co-design use cases, define success criteria, and ensure models are adopted and successful in production. Build quick, iterative prototypes to test ideas, and work cross-functionally to deploy validated solutions into production environments. Own and improve pipelines for data integration, validation, and monitoring, ensuring long-term stability and performance. Analyze large-scale structured and unstructured datasets to extract insights and power model development. Apply machine learning, NLP, graph analytics, and other advanced techniques to solve challenging problems such as semantic search, or anomaly detection. Create and maintain internal data science tooling to streamline experimentation, testing, and delivery. Support internal teams and customers with issue resolution, ensuring data science solutions continue to deliver value post-deployment. Follow and advocate for best practices in MLOps, DataOps, and clean code to ensure reproducibility, maintainability, and scalability. Requirements Based in India (remote-first team; flexible working environment). Bachelor s or Master s degree in Data Science, Computer Science, Statistics, or a related field. Demonstrated experience with LLM technologies (LangChain, LlamaIndex, OpenAI APIs, etc.) and building NLP applications. Deep proficiency in Python: you write clean, modular, maintainable, and testable code suitable for real-world deployments. Solid SQL skills and hands-on experience with large-scale data (e.g., PySpark, BigQuery). Skilled in graph analysis, machine learning, and unstructured data workflows. Demonstrated ability to apply software engineering best practices (e.g., modular design, clean code, unit testing, CI/CD) in data science and machine learning projects, ensuring production-readiness and maintainability. Ability to drive end-to-end initiatives, from exploration to delivery, where solutions must be state-of-the-art, business-aligned, and regulatory-compliant. Comfortable working in Linux environments and using collaborative tools (e.g., Git, Docker). Strong communication skills translate technical complexity into actionable business narratives, driving clarity, alignment, and decision-making across all levels of the organization. Mindset of ownership: you re excited to see projects through, from first prototype to deployed, customer-facing solution. We offer: Full time employment contract with our PEO partner (InsourceIndia) Employee benefits: comprehensive health insurance, paid time-off, eligibility for Prudential Fund participation Work-life balance: flexible working hours, remote work forever Career growth: Promotion and great development opportunities within the organization Locations India Remote status Fully Remote