As a Software Engineer III at FactSet, you will contribute to the Digital Transformation initiative by building scalable data pipelines and automating data acquisition and analytics. You'll develop processes for data quality and visualization while collaborating with teams to deliver innovative solutions. Familiarity with machine learning and analytics will be crucial for improving product quality.
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
Top Skills
Python
Factset London, England Office
One Snowden Street, , London, United Kingdom, EC2A 2DQ,
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