Overview
On Site
Full Time
Skills
Decision-making
Data Acquisition
Quality Assurance
Market Analysis
Conflict Resolution
Problem Solving
Mapping
Valuation
Analytics
Extract
Transform
Load
Innovation
Content Creation
Acquisition
Storage
Data Mining
Concordance
Cloud Computing
Dashboard
Data Collection
Quality Control
Art
Science
Writing
Terraform
Python
Pandas
NumPy
Agile
Analytical Skill
Computer Science
Mathematics
Deep Learning
Extraction
Machine Learning (ML)
Natural Language Processing
NLTK
Language Models
C
Microsoft Azure
Business Intelligence
Tableau
Microsoft Power BI
Amazon Web Services
Amazon EC2
Remote Desktop Services
Amazon RDS
PostgreSQL
Amazon SQS
Amazon SageMaker
Amazon S3
API
UI
Vue.js
Insurance
Sustainability
Collaboration
Training And Development
FDS
Finance
Data Analysis
Private Equity
Workflow
LinkedIn
Law
FactSet
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.
Your Team's Impact
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.
What You'll Do
Minimum Requirements:
At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means:
Salary is just one component of our compensation package and is based on several factors including but not limited to education, work experience, and certifications.
The budgeted salary range for this position in the states of Connecticut and New York is $11 0 ,000.00 - 1 2 0,000.00
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 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 race, color, religion, national origin, sex, sexual orientation, gender identity, disability, protected veteran status or other characteristics protected by law. FactSet participates in E-Verify
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.
Your Team's Impact
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.
What You'll Do
- 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.
- K eep 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
Minimum Requirements:
- 2 - 3 years of experience as a Software Engineer or Data Scientist
- History of writing and releasing production-grade code in an enterprise environment
- Familiarity with terraform, python, pandas and NumPy
- Experience working with Agile methodology
- Team player and adept at learning new technologies and client workflows
- Strong analytical skills
- Ability to communicate about complex subjects to non-technical stakeholders
- BS or MS in Computer Science or Mathematics related field.
- Experience with :
- Neural Networks / Deep Learning
- Information extraction, parsing, and segmentation
- M achine learning frameworks and ML workflow
- NLP libraries and text preprocessing ( nltk , SpaCy , language models)
- C loud environments: AWS, Azure
- business intelligence tools like Tableau or PowerBI .
- LLMs
- AWS Services like EC2, RDS(Postgres), SQS, Sagemaker , MLflow , S3, API gateway, ECS
- B uilding large, distributed data pipelines
- UI frameworks like VueJS
At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means:
- The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up.
- Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days .
- Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodation to help them achieve success both at work and in their personal lives.
- A global community dedicated to volunteerism and sustainability , where collaboration is always encouraged, and individuality drives solutions.
- Career progression planning with dedicated time each month for learning and development.
- Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging.
Salary is just one component of our compensation package and is based on several factors including but not limited to education, work experience, and certifications.
The budgeted salary range for this position in the states of Connecticut and New York is $11 0 ,000.00 - 1 2 0,000.00
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 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 race, color, religion, national origin, sex, sexual orientation, gender identity, disability, protected veteran status or other characteristics protected by law. FactSet participates in E-Verify
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.