Jobs at FactEntry

Serves as a Corporate Actions and ISO messaging subject matter expert. Analyzes complex corporate action events, validates MT564 and seev.031 messages, manages data mapping, investigates production issues, supports client requirements and UAT, and contributes to system enhancements. The role also performs root-cause analysis, maintains procedures and reference materials, monitors SMPG updates, and trains analysts on corporate actions processing and ISO standards.

Process financial and investment products and instruments end to end, supporting exposure to securities and capital markets. Requires knowledge of financial, capital, and money markets, derivatives, mutual funds, and other financial instruments.

Designs, develops, and maintains SQL Server databases, complex queries, stored procedures, data models, ETL processes, security controls, and performance optimization solutions. Manages backup, recovery, high availability, disaster recovery, and data quality across environments. Collaborates with application developers, analysts, and business teams to support reporting and visualization, while documenting database architecture and best practices.

Calculate, validate, and maintain daily prices and valuations for fixed-income securities. Apply bond pricing methodologies, yield curves, accrued interest, inflation indexation, floating-rate calculations, and market conventions. Investigate pricing exceptions, validate reference and market data, resolve discrepancies, respond to client queries, prepare coverage reports, maintain documentation, and improve pricing processes through automation. Collaborate with market data, operations, technology, product, and client-facing teams.

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.