Software Engineer, Factset
Business data & analytics for finance
Be an early applicant
Business data & analytics for finance
1001+ employees
Be an early applicant
1001+ employees
Company mission
To help investment professionals throughout the world by providing analytical insight from raw financial data.
Role
Who you are
- You have BS or MS in Computer Science or Mathematics related field
- You have 3+ years of experience as a Software Engineer or Data Scientist
- You have a successful history of writing and releasing production-grade code in an enterprise environment
- You are a team player and adept at learning new technologies and client workflows
- You have experience working with Agile methodology
- You have strong analytical skills
- You can communicate about complex subjects to non-technical stakeholders
- You are familiar with terraform, python, pandas and NumPy
Desirable
- Experience with Neural Networks / Deep Learning
- Experience with information extraction, parsing, and segmentation,
- Experience with machine learning frameworks (sklearn …) and ML workflow
- Experience with NLP libraries and text preprocessing (nltk, SpaCy, language models, ... )
- Experience with cloud environments: AWS, Azure
- Experience with business intelligence tools like Tableau or PowerBI
- Experience working with LLMs
- Experience working with AWS Services like EC2, RDS(Postgres), SQS, Sagemaker, MLflow, S3, API gateway, ECS
- Experience building large distributed data pipelines
- Experience in UI frameworks like VueJS is a plus
What the job involves
- As a Software Engineer in Data Solutions Engineering, you will be part of our Digital Transformation, a mission to automate our data acquisition, quality assurance, content creation, and analytics in a scalable cloud environment
- With the guidance of financial experts, you will leverage these large data sets to improve the quality and extend the scope of FactSet's existing and next-generation products
- You will be working on private market data, which are heterogeneous and voluminous datasets
- With the right tools and problem-solving, we want to automate data collection at scale and infer information
- The end goals are company classification, tag extraction, relationship mapping, and company valuation
- There is huge potential for machine learning, analytics, and NLP
- Build and scale an automatic data pipeline
- Ingest and analyze various data sources to drive innovation in content creation
- Automate the acquisition, relevance scoring, and storage of incoming sources
- Develop processes for data mining, data concordance, and data production
- Explore and evaluate new data technologies to build a scalable, cloud-oriented data platform
- Optimize data retrieval and develop dashboards and other visualizations for financial experts
- Participate in different projects as a data scientist and data engineer
- Deliver clean, well-tested code that’s reliable, maintainable, and scalable
- Build predictive models and communicate results with stakeholders
- Deploy working solutions
- Develop dashboards and other visualizations for financial experts
- Develop processes for data collection, quality assessment, and quality control
- Keep up to date / share your passions
- Stay up to date with state-of-the-art approaches and technological advancement
- Share your passion for science, ML, and technology
Application process
- End Date: March 31, 2025
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 benefits
- A competitive package offering generous paid time off for personal, vacation, parental, and medical leave.
- Comprehensive health coverage for employees and their families, at little or no cost to employees.
- Discounted services at gyms and wellness facilities.
- Free working lunch in the office Monday through Thursday.
- A social community involved in sports, charities, and in-office events.
- Certification reimbursement for eligible expenses related to the CFA, IPM, CAIA, and FRM exams.
Company values
- Future-Focused: We lead with curiosity, ask thoughtful questions, and make smart decisions to stay ahead
- Always Inclusive: We foster a diverse and inclusive community by listening to each other because we know the best ideas can come from anyone, anywhere, at any time
- Client-Centric: We serve as an extension of our clients' teams and go above and beyond to help reach their goals
- Tenacious: We strive to learn and do better every day, helping our clients, our communities, and each other grow
- Solution-Driven: We have a bias for action and measure our success based on what the impac tthat we make
Company HQ
Norwalk, CT
Articles
Leadership
Phil Snow
(CEO)Has worked at FactSet since 1996, including in various leadership roles within Global Content Sales and Americas Sales.
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