Job Specifications
At FactSet, we're working to be the best financial data provider. We need highly motivated, talented individuals empowered to find answers through creative technology to get there.
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.
Your responsibilities:
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
Who are you?
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
It is great if you have:
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
About the Company
FactSet creates flexible, open data and software solutions for tens of thousands of investment professionals around the world, providing instant access to financial data and analytics that investors use to make crucial decisions.
For 40 years, through market changes and technological progress, our focus has always been to provide exceptional client service. From more than 60 offices in 23 countries, we’re all working together toward the goal of creating value for our clients, and we’re proud that 95% of asset managers who ...
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