Machine Learning Engineer, Factset

Python, NLP, AWS, API, Docker

Salary not provided
SQL
MongoDB
AWS
Docker
Python
Tensorflow
Azure
NLTK
SpaCy
PyTorch
Keras
Mid and Senior level
London
Factset

Business data & analytics for finance

Open for applications

Factset

Business data & analytics for finance

1001+ employees

B2BInvestingAnalyticsFinancial Services

Open for applications

Salary not provided
SQL
MongoDB
AWS
Docker
Python
Tensorflow
Azure
NLTK
SpaCy
PyTorch
Keras
Mid and Senior level
London

1001+ employees

B2BInvestingAnalyticsFinancial Services

Company mission

To help investment professionals throughout the world by providing analytical insight from raw financial data.

Role

Who you are

  • This role is perfect for someone with a passion for tackling complex problems within the financial domain and has a proven ability to deliver robust, high-performance AI systems
  • 3-5 years of profound software engineering experience, significantly focused on AI/ML solutions in production environments
  • Demonstrated expertise in cloud architecture (primarily AWS) and familiarity with a broad range of services
  • Solid understanding of Natural Language Processing/Machine Learning/Deep Learning fundamentals and their real-world applications, evidenced by a successful history of model development and deployment
  • Proficient in Python, with strong skills in Docker and API development
  • Excellent communication abilities, capable of engaging both technical and business audiences alike, and leading cross-functional projects
  • Knowledge of major database architectures including MongoDB, SQL, NoSQL, and Vector databases
  • An MS degree in Machine Learning, Computer Science, or a related field is preferred

Desirable

  • Experience with Knowledge Graphs and architecting LLM-powered solutions
  • Deep familiarity with the financial data, its applications, and specific industry challenges
  • Expertise in NLP libraries such as nltk and SpaCy and proficiency in unstructured text analysis
  • Demonstrable leadership capabilities and experience in mentoring or leading a team

What the job involves

  • Join FactSet's Data Solutions AI team as an AI/ML Engineer to drive forward-thinking innovations in our financial AI applications
  • Your extensive expertise in deploying state-of-the-art solutions including Graph Technologies, NLP, predictive analytics, Large Language Models (LLM), and cloud-native technologies will be crucial
  • Architect and design groundbreaking machine learning techniques tailored to financial tasks within Knowledge Graphs, creating innovative solutions that extend beyond traditional applications
  • Enhance and scale our AWS-based infrastructure to ensure the efficient, reliable delivery of ML and AI solutions, including the integration of LLM
  • Work closely with data scientists and ML engineers to integrate and manage diverse ML and NLP models within production environments effectively. Offer expert advice on model selection and deployment strategies
  • Manage the entire software development lifecycle, from the initial design and coding through to testing and the deployment of financial AI applications
  • Construct and maintain robust data pipelines capable of processing complex structured and unstructured financial data, guaranteeing the highest quality inputs for our models
  • Act as a mentor to team members, promoting a culture of innovation and continuous learning within the team

Salary benchmarks

Our take

FactSet is an S&P 500 company creating flexible, open data solutions for investment professionals around the globe. The company was founded at the end of the 1970s, when the prominence of computers spurred the founders to find a way to deliver computer-based financial information. In doing so, FactSet revolutionized the delivery of this data to clients, which had previously been by messenger and on paper.

Investors use FactSet to access instant financial data and analytics that educate their investment decisions. In 2022, FactSet for CRM launched on the Salesforce AppExchange; reaching users looking to get a complete, reliable view of current and prospective customers. As it has grown, the company has continuously responded to changes in the market, and innovated its operations.

As part of the company’s efforts to help clients modernize and improve their market data technology, FactSet partnered with data and analytics company BMLL to offer order book history and analytics in the cloud. The company has also made steps into the cryptocurrency space by collaborating with Coin Metrics, integrating Coin Metrics’ digital assets data into its solutions, whilst embarking on a series of strategic fintech acquisitions over 2023 and 24.

Kirsty headshot

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Some candidates hear
back within 2 weeks

11% employee growth in 12 months

Company

Funding (1 round)

May 2003

$0.2m

SEED

Total funding: $0.2m

Company benefits

  • A competitive package offering generous paid time off for personal, vacation, parental, and medical leave.
  • Comprehensive health coverage for employees and their families, at little or no cost to employees.
  • Discounted services at gyms and wellness facilities.
  • Free working lunch in the office Monday through Thursday.
  • A social community involved in sports, charities, and in-office events.
  • Certification reimbursement for eligible expenses related to the CFA, IPM, CAIA, and FRM exams.

Company values

  • Who We Are: We are an inclusive community unified by the FactSet spirit of going above and beyond. Our best ideas can come from anyone, anywhere, at any time.
  • How We Work: We roll up our sleeves to solve tough problems together. We learn from our successes and our failures and continually push each other to do better.
  • What We Promise: We continuously look ahead to advance the future of our industry. We relentlessly seek value for our clients because their success is our success.
  • How We Compete: Our clients see us as part of their team. We win as a team, and we celebrate our wins together.
  • What We Aspire To: As big as we grow, as far as our reach, and as successful as we become, we stay connected to our clients and to each other.

Company HQ

Norwalk, CT

Leadership

Phil Snow

(CEO, not founder)

Has worked at FactSet since 1996, including in various leadership roles within Global Content Sales and Americas Sales.

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