Jobs at FactEntry

Translates business needs into technical requirements, BRDs, FRDs, user stories, workflows, and roadmaps. Manages JIRA boards, backlogs, prioritization, sprint tracking, and reporting. Acts as liaison between stakeholders and development teams, conducts functional testing and UAT support, tracks defects, and facilitates walkthroughs, sprint reviews, and status updates. Identifies delivery risks, dependencies, and blockers while ensuring solutions meet documented business requirements.

Build and deploy classical machine learning and generative AI solutions, including regression, classification, clustering, LLM, RAG, and prompt-engineering applications. Develop real-time APIs, integrate vector databases, optimize inference, monitor production models, and promote safe, explainable, unbiased AI outputs. Collaborate with business teams to translate requirements into ML use cases. Required expertise includes Python, common data science libraries, LLM frameworks, transformer architecture, NLP, REST APIs, cloud platforms, Docker, and Kubernetes.

Lead development of web applications using Django and React.js. Collaborate with stakeholders on requirements and project scope, mentor engineers, enforce coding standards, optimize performance, troubleshoot issues, and coordinate with QA and DevOps for integration and deployment. The role requires strong software development expertise, agile leadership, communication, problem-solving, and project prioritization skills.

Lead and mentor Python engineering teams while designing scalable, resilient, and secure systems. Oversee technical project delivery, architecture strategy, technology evaluation, proof-of-concept development, CI/CD, testing, monitoring, performance optimization, stakeholder communication, and risk management. The role requires hands-on development, solution architecture expertise, cloud infrastructure knowledge, API and microservices experience, and strong technical leadership.

Leads development of web applications using Django on the backend and React.js on the frontend. Collaborates with stakeholders to define requirements and project objectives, mentors developers, promotes coding standards, optimizes performance, troubleshoots issues, and coordinates with QA and DevOps for integration and deployment.

Receive training to research financial instruments, analyze corporate actions and market impacts, maintain securities databases, cover companies and sectors, prepare client-facing reports and presentations, and collaborate with analysts to deliver accurate research. Candidates should have strong analytical and communication skills, financial market interest, and proficiency in Excel and PowerPoint.

Lead development of web applications using Python Django and React.js. Collaborate with stakeholders on requirements and project scope, mentor developers, establish coding standards, optimize performance, troubleshoot applications, and coordinate with QA and DevOps for integration and deployment. The role also involves leading agile teams, applying SDLC best practices, managing multiple projects, and ensuring maintainable, high-quality software.

Develop and maintain high-performance C++ bond valuation, yield curve, risk analytics, and quantitative libraries. Build Python tools using NumPy and Pandas for model prototyping, data pipelines, and backtesting. Implement pricing algorithms, market-data workflows, curve models, and financial analytics while optimizing latency and memory usage. Collaborate with quants, traders, analysts, and developers; integrate financial APIs, conduct code reviews, and write unit and integration tests.