Software Engineer, Factset
Business data & analytics for finance
Open for applications
Business data & analytics for finance
1001+ employees
Open for applications
1001+ employees
Company mission
To provide access to connected financial data, next-gen AI tools, and dedicated support to help clients see more, think bigger, and do their best work.
Role
Who you are
- Machine Learning Experience a plus
- An ideal candidate for the role would be an individual that has experience or a strong interest in working with generative AI and related technologies
- They will also have the confidence to meaningfully contribute to team meetings in order to help lead discussions and drive outcomes
- Proficiency in Python, TypeScript, or similar language and its environment
- 4+ years of software engineering experience required
- Proficiency with API design
- Strong technical writing and presentation skills
- Familiarity with relational databases and data modeling techniques
- Bachelor’s degree in computer science, computer engineering, or similar technical field or equivalent practical experience
Desirable
- Experience with Cloud platforms such as AWS or Heroku
- Experience or knowledge of CI/CD concepts and GitHub
- An interest in the financial services domain
What the job involves
- Join the DSAI team at FactSet, where our mission is to enrich data from across the company to enable it to be used in GenAI workflows. Core to the DSAI infrastructure is a knowledge graph that connects financial concepts to the data available at FactSet
- Engineers on the team maintain and enhance a GenAI powered software stack that operates at the intersection of financial data, knowledge management, and data engineering
- You will be working on a team in a fast-paced environment where you will have the opportunity to influence the design and architecture of the product
- Build new systems to ingest and enrich data into an ontology
- Monitor and enhance the accuracy, performance, and observability of our GenAI RAG stack
- Evaluate new large language models, tools, and AI engineering techniques
- Improve query planning, optimization, and evaluation infrastructure
- Partner and collaborate with product development leads to identify technical requirements for future product enhancements
- Collaborate with teams across the organization to understand their data
Salary benchmarks
Our take
FactSet is an S&P 500 company creating flexible, open data solutions for investment professionals around the globe. The company was founded at the end of the 1970s, when the prominence of computers spurred the founders to find a way to deliver computer-based financial information. In doing so, FactSet revolutionized the delivery of this data to clients, which had previously been by messenger and on paper.
Investors use FactSet to access instant financial data and analytics that educate their investment decisions. In 2022, FactSet for CRM launched on the Salesforce AppExchange; reaching users looking to get a complete, reliable view of current and prospective customers. As it has grown, the company has continuously responded to changes in the market, and innovated its operations.
As part of the company’s efforts to help clients modernize and improve their market data technology, FactSet partnered with data and analytics company BMLL to offer order book history and analytics in the cloud. The company has also made steps into the cryptocurrency space by collaborating with Coin Metrics, integrating Coin Metrics’ digital assets data into its solutions, whilst embarking on a series of strategic fintech acquisitions over 2023 and 24.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
11% employee growth in 12 months
Company
Funding (1 round)
May 2003
$0.2m
SEED
Total funding: $0.2m
Company HQ
Norwalk, CT
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