The Data Solutions team is looking for a Associate Product Specialist to contribute to product management and support. In this role, you will be expected to understand Data solutions products and delivery technologies comprehensively, be a key contributor to defining and expanding the product packages available, and enhance and add features that provide connectivity, scalability, and enhanced usability. You will work closely with a broadly distributed Content, Product, Strategy, Sales & Support and Engineering group.
We welcome ambitious team players with proven ability to take initiative and find creative solutions. Applicants must have a genuine interest in finance and technology and the desire to continually learn and develop in an ever-changing environment.
What You'll Be Do
Data Platform Delivery PD – Associate Product Specialist is looking for an Associate Product Specialist to contribute to product management and support. It includes the following responsibilities:
Product Feature Support
- Manage the group’s daily inflow of product requests and guide them to a meaningful and timely resolution.
- Communicate clear and detailed responses to requests while tying in references to supporting documentation.
Contribution to Product Design and Maintenance
- Assist product owners in spec’ing and designing products that capture market share in the financial data investments space.
- Contribute to departmental product development projects.
Critical Product Analysis
- Identify recurring issues/requests and make recommendations for feature enhancements.
- Collection of metrics for product usage, issues reported time to first response, time to resolution, etc.
- Identify areas for improvement of Product Support
Product Documentation and Education
- Create and maintain support and troubleshooting documentation.
- Regularly share Data Solutions product best practices with stakeholders
Required Skills:
Education:
Bachelor’s or Master’s degree in computer science, Engineering, Information Systems and/or Finance
Required Skills:
- Professional experience and competency 1-2 years.
- Programming & 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 & logging.
- Research & 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
- Able to understand a complicated technical product line, while being able to manage the complicated business rules surrounding these products.
- Functional understanding of Enterprise Data Delivery solutions
- Functional understanding of Software Development cycles
- Proficient in Microsoft Office applications (Excel, Word & PowerPoint)
- Strong organizational skills are needed to juggle multiple tasks.
- Attention to detail along with the ability to see the big picture.
- Ability to work on multiple projects with shifting priorities.
- Self-disciplined and motivated work ethic.
Highly Desired Attributes:
- Knowledge of financial databases used in financial markets.
- Knowledge of Product Development Life Cycle from Ideation to Go to Market
- Technical specification writing or maintenance experience of tools, enhancements, 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 BloombergAbility to learn to work with project management software and in Agile Environment