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Software Engineer III

FactSet

London

On-site

GBP 150,000 - 200,000

30+ days ago

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Job summary

Join a forward-thinking company as a Software Engineer in Data Solutions Engineering, where you will play a pivotal role in automating data acquisition and enhancing analytics through innovative technology. This position offers the opportunity to work with vast datasets, apply machine learning, and develop scalable solutions in a cloud environment. Collaborate with financial experts to create impactful data-driven products and contribute to a culture of continuous learning and technological advancement. If you're passionate about data and technology, this role is your chance to make a significant impact in a dynamic team.

Qualifications

  • 3+ years of experience as a Software Engineer or Data Scientist.
  • Successful history of writing production-grade code.

Responsibilities

  • Build and scale an automatic data pipeline for various data sources.
  • Deliver clean, well-tested code that’s reliable and maintainable.

Skills

Python

Analytical Skills

Agile Methodology

Machine Learning

Data Mining

Predictive Modeling

Education

BS or MS in Computer Science

Mathematics related field

Tools

Terraform

Pandas

NumPy

AWS

Azure

Tableau

PowerBI

Job description

Time left to apply End Date: March 31, 2025 (30+ days left to apply)

Job requisition id R26624

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 in UI frameworks like VueJS is a plus.
About Us

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. Join a team of highly motivated, talented individuals who are empowered to find answers through creative technology.

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