FactSet
Website:
factset.com
Job details:
FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions.
At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations.
Position Name: Software Engineer I
Department: AI Foundry- AI Data Foundation
Work Location Hyderabad
Shift Time General Shift (09:30 AM – 06:30 PM)
Your Team’s Impact
The AI Foundry defines the enterprise AI strategy and delivers the governance, platforms, and data foundations that enable scalable and responsible AI adoption. The team provides reusable, composable AI capabilities and a single intake and prioritization model, empowering business units to rapidly deliver high‑ROI use cases. By applying consistent quality, safety, and release standards, the AI Foundry ensures all AI solutions are reliable, scalable, and impactful for our end users.
What You’II Do
- Build & Implement Solutions: Support the implementation and testing of machine learning approaches and Knowledge Graph features tailored to financial tasks.
- Support Cloud Infrastructure: Maintaining and deploy AWS-based infrastructure for ML workflows, API integrations, and LLM applications.
- Collaborate on ML/NLP Models: Work alongside data scientists and ML engineers to help integrate, test, and deploy ML and NLP models into production environments.
- Participate in End-to-End Development: Contribute actively to the full software development lifecycle by writing clean code, participating in code reviews, testing, and debugging financial AI applications.
- Data Pipeline Maintenance: Build and monitor data pipelines to process structured and unstructured financial data, helping ensure high data quality for downstream models.
What We’re Looking For
- Bachelor’s degree (or equivalent) in Computer Science Engineering
- Strong proficiency in Python.
- Familiarity with API frameworks like Fast API, Flask.
- Demonstrated analytical ability to debug complex workflows, coupled with clear communication skills.
- Experience with enhancing and scaling event driven architectures.
- Hands-on experience or project work with AWS services (S3, Lambda, Step Functions, Glue).
- Understanding of fundamental Gen AI concepts (embeddings, vector search, LLMs) and Hands-on with AI coding tools like Claude Code, Cursor etc..
- Conceptual understanding or experience working with Graph DBs and vector databases.
- Basic familiarity with Docker and automated CI/CD pipeline concepts (GitHub Actions).
- Good understanding of financial data, applications, and domain-specific challenges.
Why Join our team? - High-Impact Work: Your contributions will directly influence the way financial professionals around the world make critical decisions.
- Collaborative, Innovative Team: Work alongside top engineers and scientists to push the boundaries of financial AI.
- Focus on Growth: FactSet fosters continuous learning and provides opportunities for you to advance your skills.
Company Overview
FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn.
At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.
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