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 pipelineIngest 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 engineerDeliver clean, well-tested code that’s reliable, maintainable, and scalableBuild predictive models and communicate results with stakeholdersDeploy working solutionsDevelop dashboards and other visualizations for financial experts.Develop processes for data collection, quality assessment, and quality control.Keep up to date / share your passionsStay 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 workflowsYou have experience working with Agile methodology.You have strong analytical skillsYou can communicate about complex subjects to non-technical stakeholdersYou 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 workflowExperience 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 LLMsExperience working with AWS Services like EC2, RDS(Postgres), SQS, Sagemaker, MLflow, S3, API gateway, ECSExperience building large distributed data pipelinesExperience in UI frameworks like VueJS is a plus