Associate Product Specialist

Overview

Associate Product Specialist on FactSet's Data Solutions team, supporting product management and support for data solutions products and delivery technologies.

What you'll do

• Manage the group's daily inflow of product requests and guide them to meaningful and timely resolution.
• Communicate clear and detailed responses to requests, referencing supporting documentation.
• Assist product owners in specifying and designing products that capture market share in the financial data investments space.
• Contribute to departmental product development projects.
• Identify recurring issues and requests and recommend feature enhancements.
• Collect metrics for product usage, issues reported, time to first response and time to resolution.
• Identify areas for improvement in product support.
• Create and maintain support and troubleshooting documentation.
• Regularly share Data Solutions product best practices with stakeholders.

What you'll need

• Bachelor's or Master's degree in computer science, engineering, information systems and/or finance.
• Professional experience and competency of 1-2 years.
• Programming and ML: Python, machine learning, transformer models, NLP.
• Claude AI: prompt engineering, fine-tuning, API integration, domain adaptation.
• Deployment: AWS/GCP/Azure, Docker, Kubernetes, Git/GitHub, monitoring and logging.
• Research and benchmarking: LLM comparison (Claude vs GPT/LLaMA), A/B testing, applied AI research.
• Log design and troubleshooting.
• Experience working in Unix / Linux environments.
• SQL and other RDBMS platforms.
• Knowledge of shell scripting / procedural programming.
• Experience with one or more of C++ / Perl / Python / Ruby / Java.
• Programmatic APIs.
• Specification writing / technical documentation.
• FQL, Kibana, Jenkins and GitHub.
• Intermediate Python knowledge, R, Matlab.
• Testing using Postman and CI/CD tools like Jenkins.
• Ability to understand a complicated technical product line and manage the complicated business rules surrounding these products.
• Functional understanding of enterprise data delivery solutions.
• Functional understanding of software development cycles.
• Proficiency in Microsoft Office applications (Excel, Word and PowerPoint).
• Strong organizational skills to juggle multiple tasks, with attention to detail and the ability to see the big picture.
• Ability to work on multiple projects with shifting priorities.
• Self-disciplined and motivated work ethic.

Nice to have

• Knowledge of financial databases used in financial markets.
• Knowledge of the product development life cycle from ideation to go-to-market.
• Technical specification writing or maintenance experience of tools, enhancements and products.
• Ability to learn automation frameworks and conceptualization.
• Ability to work independently and collaboratively with team members in other offices.
• Knowledge or experience with analytical software from FactSet, CapIQ, Thomson Reuters or Bloomberg.
• Ability to learn project management software and to work in an Agile environment.

Details

• Location: Hyderabad, India.
• Works closely with a broadly distributed Content, Product, Strategy, Sales & Support and Engineering group.